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You're viewing the documentation for API v4 beta. Its endpoints
and fields may change before release.
See the documentation for the stable API version.
PredictLeads provides company intelligence data on 120M+ companies globally.
All PredictLeads data is proprietary and sourced directly from company websites.
All datasets are structured and point-in-time.
Please check the Guide section first for more detailed info on relevant datasets.
The data can be delivered via APIs or Webhooks.
When using:
APIs
Please review the
API Endpoints section.
Webhooks
Please review the
API Webhooks section.
Company Signals Dataset
Signals about company activity derived from PredictLeads datasets.
Website Changes Dataset
Information about meaningful changes detected on a company’s website over time.
Subpages Dataset
Information on how websites are structured, what kind of subpages they have, categories of subpages
(e.g. blog, careers, about, terms…) and cleaned text content from these subpages in markdown format.
SEC Financials Dataset
The income statement a public company reported on each of its periodic SEC filings.
Companies Dataset includes data such as Company Name, Meta Title, Meta Description, Structured Location Data, Ticker, Parent Company, Language and other basic company information.
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{
"data": [
{
"id": "0160c0f9-78d8-7274-9faa-a37a5d7f1ab6",
"type": "company",
"domain": "brex.com",
"name": "Brex Inc.",
"friendly_name": "Brex",
"ticker": null,
"meta_title": "Brex: The Modern Finance Software Platform | Spend Smarter",
"meta_description": "Simplify expense management with Brex's finance platform. From company cards to banking, Brex helps you drive growth, automate processes, & earn more.",
"description": "Brex provides a finance platform that includes corporate charge cards, cash management accounts, and tools for expense and travel management. The organization serves founders and finance teams, specifically targeting technology companies. Operating globally across many countries, the organization focuses on automating accounting processes and managing business spending through integrated banking and credit services.",
"description_short": "Brex is a business financial services provider that serves founders and finance teams.",
"language": "en",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"location_data": [
{
"id": "01a1369f-e0b2-7425-9f8b-6d9cc200dba6",
"type": "company_location_data",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"zip_code": "94114",
"street_address": "2261 Market Street",
"city": "San Francisco",
"county": "San Francisco County",
"admin_area": "California",
"state": "California",
"country": "United States",
"continent": "North America",
"latitude": 37.764685,
"longitude": -122.43194,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-760c-adec-7c95d8e27f1e",
"type": "company_location_data",
"location": "50 W Broadway, Salt Lake City, UT 84101, United States",
"zip_code": "84119",
"street_address": null,
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.773201,
"longitude": -111.933984,
"fuzzy_match": true,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-78dd-a946-ce2364bb27e8",
"type": "company_location_data",
"location": "650 S 500 W, Salt Lake City, UT 84101-2380, United States",
"zip_code": "84101",
"street_address": "650 South 500 West",
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.755136,
"longitude": -111.905691,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-73de-b25c-ecdb1c53f68e",
"type": "company_location_data",
"location": "1 Commerce Way, Little Rock, Arkansas 72202, United States",
"zip_code": "72202",
"street_address": "1 Commerce Way",
"city": "Little Rock",
"county": "Pulaski County",
"admin_area": "Arkansas",
"state": "Arkansas",
"country": "United States",
"continent": "North America",
"latitude": 34.764932,
"longitude": -92.302579,
"fuzzy_match": false,
"category": "office"
},
{
"id": "01a1369f-e0b2-7093-99c2-dbb6c7dd96b6",
"type": "company_location_data",
"location": "Austin, Texas, United States",
"zip_code": "78701",
"street_address": null,
"city": "Austin",
"county": "Travis County",
"admin_area": "Texas",
"state": "Texas",
"country": "United States",
"continent": "North America",
"latitude": 30.222346,
"longitude": -97.836521,
"fuzzy_match": true,
"category": "office"
},
{
"id": "01a1369f-e0b2-7cbc-bc7d-ab5e685f560d",
"type": "company_location_data",
"location": "District of Columbia, United States",
"zip_code": null,
"street_address": null,
"city": null,
"county": null,
"admin_area": "District of Columbia",
"state": "District of Columbia",
"country": "United States",
"continent": "North America",
"latitude": 38.912097,
"longitude": -77.014683,
"fuzzy_match": true,
"category": "service_area"
},
{
"id": "01a1369f-e0b2-7565-8ab7-3084cfbebbd9",
"type": "company_location_data",
"location": "New York, United States",
"zip_code": "11238",
"street_address": null,
"city": "New York",
"county": "Kings County",
"admin_area": "New York",
"state": "New York",
"country": "United States",
"continent": "North America",
"latitude": 40.68295,
"longitude": -73.9708,
"fuzzy_match": false,
"category": "service_area"
},
{
"id": "01a1369f-e0b2-7a3f-832f-ace75d815801",
"type": "company_location_data",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"zip_code": "94114",
"street_address": "2261 Market Street",
"city": "San Francisco",
"county": "San Francisco County",
"admin_area": "California",
"state": "California",
"country": "United States",
"continent": "North America",
"latitude": 37.764685,
"longitude": -122.43194,
"fuzzy_match": false,
"category": "registered_address"
},
{
"id": "01a1369f-e0b2-7fd3-a049-c6b46116bcaf",
"type": "company_location_data",
"location": "650 S 500 W, Salt Lake City, UT 84101, United States",
"zip_code": "84101",
"street_address": "650 South 500 West",
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.755136,
"longitude": -111.905691,
"fuzzy_match": false,
"category": "registered_address"
}
],
"last_extraction_states": [
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-14T20:29:21.268003+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-22T02:21:08.710900+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-09-01T02:39:38.301223+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-09-11T03:07:01.653616+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-09T12:40:12.884940+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-25T23:48:53.904399+01:00"
}
],
"redirects_to_company": null,
"redirects_to_company_reason": null,
"parent_company": {
"id": "015353a8-fd39-7e43-80fa-f874553b771a",
"type": "company",
"domain": "capitalone.com",
"name": "Capital One Group",
"ticker": "NYSE:COF-PN"
},
"subsidiary_companies": [
{
"id": "017228dc-076b-7596-b07e-faefc8752ef8",
"type": "company",
"domain": "pry.co",
"name": "Pry Financials Inc.",
"ticker": null
},
{
"id": "01776f82-37b5-7adb-add2-7f810abe4689",
"type": "company",
"domain": "weav.co",
"name": "Weav Technologies, Inc.",
"ticker": null
}
],
"similar_companies": [
{
"id": "014ef54b-b9bc-7859-bf70-fda144d0a69b",
"type": "company",
"domain": "ramp.com",
"name": "Ramp Corp.",
"ticker": null
},
{
"id": "0163f658-c47e-732b-a6fa-b8cb036cb5b3",
"type": "company",
"domain": "airbase.com",
"name": "Airbase Inc.",
"ticker": null
},
{
"id": "015353e7-03d5-7433-944a-c58b78378b79",
"type": "company",
"domain": "expensify.com",
"name": "Expensify, Inc.",
"ticker": "NASDAQ:EXFY"
},
{
"id": "01862da7-1a0e-7508-ad04-8edc8fee5e5e",
"type": "company",
"domain": "navan.com",
"name": "Navan, Inc.",
"ticker": "NASDAQ:NAVN"
},
{
"id": "016187f1-7688-7d3e-8e5c-86eebb5b0a37",
"type": "company",
"domain": "mercury.com",
"name": "Mercury Technologies, Inc.",
"ticker": null
}
]
}
],
"meta": {
"schema_version": "4.1",
"record_state": "active"
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "CompaniesDataset",
"summary": "Information about companies.\n",
"description": "Companies Dataset includes data such as Company Name, Meta Title, Meta Description,\nStructured Location Data, Ticker, Parent Company, Language and other basic company information.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "Company",
"description": "The `Company` object.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker",
"friendly_name",
"meta_title",
"meta_description",
"description",
"description_short",
"language",
"location",
"location_data",
"last_extraction_states",
"redirects_to_company",
"redirects_to_company_reason",
"parent_company",
"subsidiary_companies",
"similar_companies"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
},
"friendly_name": {
"description": "Company friendly name.",
"type": [
"string",
"null"
]
},
"meta_title": {
"description": "Company website's meta title.",
"type": [
"string",
"null"
]
},
"meta_description": {
"description": "Company website's meta description.",
"type": [
"string",
"null"
]
},
"description": {
"description": "Translated and summarized description.",
"type": [
"string",
"null"
]
},
"description_short": {
"description": "Short version of the translated and summarized description.",
"type": [
"string",
"null"
]
},
"language": {
"description": "`Company` website's language.",
"type": [
"string",
"null"
]
},
"location": {
"description": "`Company` location.\n<br>\n**NOTE**: It is built from the `location_data` attributes if present.\n",
"example": "Menlo Park, California, 94025, United States, Northern America, Americas",
"type": [
"string",
"null"
]
},
"location_data": {
"description": "**NOTE**: Currently contains at most one object.",
"type": "array",
"items": {
"title": "CompanyLocationData",
"description": "The `CompanyLocationData` object.",
"example": {
"id": "0196e906-3aab-716c-b14b-9cc5f2778291",
"type": "company_location_data",
"location": "4145 SW Watson Ave, Beaverton, Oregon 97005, United States",
"zip_code": "97005",
"street_address": "4145 SW Watson Ave",
"city": "Beaverton",
"county": "Washington County",
"admin_area": "Oregon",
"state": "Oregon",
"country": "United States",
"continent": "North America",
"latitude": 45.489652,
"longitude": -122.806691,
"fuzzy_match": false,
"category": "headquarters"
},
"type": "object",
"required": [
"id",
"type",
"location",
"zip_code",
"street_address",
"city",
"county",
"admin_area",
"state",
"country",
"continent",
"latitude",
"longitude",
"fuzzy_match",
"category"
],
"properties": {
"id": {
"description": "ID of the `CompanyLocationData` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "Type of the `CompanyLocationData` object.",
"const": "company_location_data"
},
"location": {
"description": "Location as a string.",
"example": "4145 SW Watson Ave, Beaverton, Oregon 97005, United States",
"type": "string"
},
"zip_code": {
"description": "ZIP code of the location.",
"example": "97005",
"type": [
"string",
"null"
]
},
"street_address": {
"description": "Street address of the location.",
"example": "4145 SW Watson Ave",
"type": [
"string",
"null"
]
},
"city": {
"description": "City of the location.",
"example": "Beaverton",
"type": [
"string",
"null"
]
},
"county": {
"description": "County of the location.",
"example": "Washington County",
"type": [
"string",
"null"
]
},
"admin_area": {
"description": "Administrative area of the location.",
"example": "Oregon",
"type": [
"string",
"null"
]
},
"state": {
"description": "State of the location.",
"example": "Oregon",
"type": [
"string",
"null"
]
},
"country": {
"description": "Country of the location.",
"example": "United States",
"type": [
"string",
"null"
]
},
"continent": {
"description": "Continent of the location.",
"example": "North America",
"type": [
"string",
"null"
]
},
"latitude": {
"description": "Latitude coordinate of the location.",
"example": 45.489652,
"type": [
"number",
"null"
]
},
"longitude": {
"description": "Longitude coordinate of the location.",
"example": -122.806691,
"type": [
"number",
"null"
]
},
"fuzzy_match": {
"description": "`true` indicates that location data may not have been extracted accurately.\n<br>\n`false` indicates that location data has been extracted correctly.\n",
"type": "boolean",
"example": false
},
"category": {
"description": "Location category.",
"example": "headquarters",
"type": "string",
"enum": [
"headquarters",
"office",
"retail",
"facility",
"service_area",
"registered_address",
"unknown"
]
}
}
}
},
"last_extraction_states": {
"description": "Extraction states of the company website's main subpage.",
"type": "array",
"items": {
"type": "object",
"required": [
"status",
"status_code",
"processed_at"
],
"properties": {
"status": {
"description": "Extraction status.",
"type": "string"
},
"status_code": {
"description": "HTTP response status code.",
"type": [
"integer",
"null"
]
},
"processed_at": {
"description": "Date & time (ISO 8601) of when the `Company` was last processed.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
}
}
}
},
"redirects_to_company": {
"title": "Company",
"description": "The company this company's domain redirects to.",
"type": [
"object",
"null"
],
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"redirects_to_company_reason": {
"description": "Reason of the redirect.",
"type": [
"string",
"null"
],
"enum": [
"acquisition_merger",
"locality",
"rebranding",
null
]
},
"parent_company": {
"title": "Company",
"description": "The company's parent company.",
"type": [
"object",
"null"
],
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"subsidiary_companies": {
"description": "The company's subsidiary companies.",
"type": "array",
"items": {
"title": "Company",
"description": "A subsidiary company of this company.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
},
"similar_companies": {
"description": "Companies similar to this company. Up to 5 are returned.",
"type": "array",
"items": {
"title": "Company",
"description": "A company similar to this company.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
}
}
}
},
"meta": {
"description": "Meta information about `CompaniesDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "0160c0f9-78d8-7274-9faa-a37a5d7f1ab6",
"type": "company",
"domain": "brex.com",
"name": "Brex Inc.",
"friendly_name": "Brex",
"ticker": null,
"meta_title": "Brex: The Modern Finance Software Platform | Spend Smarter",
"meta_description": "Simplify expense management with Brex's finance platform. From company cards to banking, Brex helps you drive growth, automate processes, & earn more.",
"description": "Brex provides a finance platform that includes corporate charge cards, cash management accounts, and tools for expense and travel management. The organization serves founders and finance teams, specifically targeting technology companies. Operating globally across many countries, the organization focuses on automating accounting processes and managing business spending through integrated banking and credit services.",
"description_short": "Brex is a business financial services provider that serves founders and finance teams.",
"language": "en",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"location_data": [
{
"id": "01a1369f-e0b2-7425-9f8b-6d9cc200dba6",
"type": "company_location_data",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"zip_code": "94114",
"street_address": "2261 Market Street",
"city": "San Francisco",
"county": "San Francisco County",
"admin_area": "California",
"state": "California",
"country": "United States",
"continent": "North America",
"latitude": 37.764685,
"longitude": -122.43194,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-760c-adec-7c95d8e27f1e",
"type": "company_location_data",
"location": "50 W Broadway, Salt Lake City, UT 84101, United States",
"zip_code": "84119",
"street_address": null,
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.773201,
"longitude": -111.933984,
"fuzzy_match": true,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-78dd-a946-ce2364bb27e8",
"type": "company_location_data",
"location": "650 S 500 W, Salt Lake City, UT 84101-2380, United States",
"zip_code": "84101",
"street_address": "650 South 500 West",
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.755136,
"longitude": -111.905691,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-73de-b25c-ecdb1c53f68e",
"type": "company_location_data",
"location": "1 Commerce Way, Little Rock, Arkansas 72202, United States",
"zip_code": "72202",
"street_address": "1 Commerce Way",
"city": "Little Rock",
"county": "Pulaski County",
"admin_area": "Arkansas",
"state": "Arkansas",
"country": "United States",
"continent": "North America",
"latitude": 34.764932,
"longitude": -92.302579,
"fuzzy_match": false,
"category": "office"
},
{
"id": "01a1369f-e0b2-7093-99c2-dbb6c7dd96b6",
"type": "company_location_data",
"location": "Austin, Texas, United States",
"zip_code": "78701",
"street_address": null,
"city": "Austin",
"county": "Travis County",
"admin_area": "Texas",
"state": "Texas",
"country": "United States",
"continent": "North America",
"latitude": 30.222346,
"longitude": -97.836521,
"fuzzy_match": true,
"category": "office"
},
{
"id": "01a1369f-e0b2-7cbc-bc7d-ab5e685f560d",
"type": "company_location_data",
"location": "District of Columbia, United States",
"zip_code": null,
"street_address": null,
"city": null,
"county": null,
"admin_area": "District of Columbia",
"state": "District of Columbia",
"country": "United States",
"continent": "North America",
"latitude": 38.912097,
"longitude": -77.014683,
"fuzzy_match": true,
"category": "service_area"
},
{
"id": "01a1369f-e0b2-7565-8ab7-3084cfbebbd9",
"type": "company_location_data",
"location": "New York, United States",
"zip_code": "11238",
"street_address": null,
"city": "New York",
"county": "Kings County",
"admin_area": "New York",
"state": "New York",
"country": "United States",
"continent": "North America",
"latitude": 40.68295,
"longitude": -73.9708,
"fuzzy_match": false,
"category": "service_area"
},
{
"id": "01a1369f-e0b2-7a3f-832f-ace75d815801",
"type": "company_location_data",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"zip_code": "94114",
"street_address": "2261 Market Street",
"city": "San Francisco",
"county": "San Francisco County",
"admin_area": "California",
"state": "California",
"country": "United States",
"continent": "North America",
"latitude": 37.764685,
"longitude": -122.43194,
"fuzzy_match": false,
"category": "registered_address"
},
{
"id": "01a1369f-e0b2-7fd3-a049-c6b46116bcaf",
"type": "company_location_data",
"location": "650 S 500 W, Salt Lake City, UT 84101, United States",
"zip_code": "84101",
"street_address": "650 South 500 West",
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.755136,
"longitude": -111.905691,
"fuzzy_match": false,
"category": "registered_address"
}
],
"last_extraction_states": [
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-14T20:29:21.268003+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-22T02:21:08.710900+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-09-01T02:39:38.301223+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-09-11T03:07:01.653616+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-09T12:40:12.884940+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-25T23:48:53.904399+01:00"
}
],
"redirects_to_company": null,
"redirects_to_company_reason": null,
"parent_company": {
"id": "015353a8-fd39-7e43-80fa-f874553b771a",
"type": "company",
"domain": "capitalone.com",
"name": "Capital One Group",
"ticker": "NYSE:COF-PN"
},
"subsidiary_companies": [
{
"id": "017228dc-076b-7596-b07e-faefc8752ef8",
"type": "company",
"domain": "pry.co",
"name": "Pry Financials Inc.",
"ticker": null
},
{
"id": "01776f82-37b5-7adb-add2-7f810abe4689",
"type": "company",
"domain": "weav.co",
"name": "Weav Technologies, Inc.",
"ticker": null
}
],
"similar_companies": [
{
"id": "014ef54b-b9bc-7859-bf70-fda144d0a69b",
"type": "company",
"domain": "ramp.com",
"name": "Ramp Corp.",
"ticker": null
},
{
"id": "0163f658-c47e-732b-a6fa-b8cb036cb5b3",
"type": "company",
"domain": "airbase.com",
"name": "Airbase Inc.",
"ticker": null
},
{
"id": "015353e7-03d5-7433-944a-c58b78378b79",
"type": "company",
"domain": "expensify.com",
"name": "Expensify, Inc.",
"ticker": "NASDAQ:EXFY"
},
{
"id": "01862da7-1a0e-7508-ad04-8edc8fee5e5e",
"type": "company",
"domain": "navan.com",
"name": "Navan, Inc.",
"ticker": "NASDAQ:NAVN"
},
{
"id": "016187f1-7688-7d3e-8e5c-86eebb5b0a37",
"type": "company",
"domain": "mercury.com",
"name": "Mercury Technologies, Inc.",
"ticker": null
}
]
}
],
"meta": {
"schema_version": "4.1",
"record_state": "active"
}
}
}The Extended Companies Dataset includes additional company data such as Company size range, Company Logo, Company Slogan, Industry, Company Type and other company information.
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employees_min
[optional]
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employees_max
[optional]
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Format:
date
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object
Example:
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revenue_range_low
[optional]
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[optional]
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meta
[optional]
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{
"data": [
{
"id": "0164245a-5850-76aa-ba63-f947a5904cbb",
"type": "company",
"domain": "meettippy.com",
"name": "DirectTIPS Operations, LLC.",
"friendly_name": "Tippy",
"ticker": null,
"meta_title": "Homepage - Tippy",
"meta_description": "We are tipping experts with optimized solutions for Salons & Spas. Groomers. Fitness. Auto Shops. Your Business. Let us find the best tipping solution for you! Enter your email to get started! Yay Tippy! Winners for Best Work Spaces, Best of Fort Lauderdale 2022! Thank you Fort Lauderdale Magazine and",
"description": "Tippy provides digital tipping solutions designed for service-based businesses, including salons, spas, grooming facilities, fitness centers, and auto shops. The organization facilitates the collection of gratuities and manages instant payouts to service professionals. To support these operations, the organization integrates with point-of-sale systems and provides standalone kiosks to handle the processing of tips.",
"description_short": "Tippy provides digital tipping solutions for service-based businesses such as salons, spas, grooming facilities, fitness centers, and auto shops.",
"language": "en",
"location": "2755 E Oakland Park Blvd, Fort Lauderdale, Florida 33306, United States",
"location_data": [
{
"id": "01a0b033-9b07-76c1-9add-771c1429f0be",
"type": "company_location_data",
"location": "2755 E Oakland Park Blvd, Fort Lauderdale, Florida 33306, United States",
"zip_code": "33306",
"street_address": "2755 East Oakland Park Boulevard",
"city": "Fort Lauderdale",
"county": "Broward County",
"admin_area": "Florida",
"state": "Florida",
"country": "United States",
"continent": "North America",
"latitude": 26.16749,
"longitude": -80.11004,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a0b033-9b07-7de9-b86c-11b73e76fc12",
"type": "company_location_data",
"location": "935 Berkshire Blvd, Reading, Pennsylvania 19610, United States",
"zip_code": "19606",
"street_address": null,
"city": "Reading",
"county": "Berks County",
"admin_area": "Pennsylvania",
"state": "Pennsylvania",
"country": "United States",
"continent": "North America",
"latitude": 40.346978,
"longitude": -75.924261,
"fuzzy_match": true,
"category": "unknown"
}
],
"last_extraction_states": [
{
"status": "processing_error",
"status_code": null,
"processed_at": "2025-09-28T18:27:10.706385+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-03-28T18:54:01.541244+01:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-06-04T18:49:35.324089+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-04T19:12:11.918288+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-05T18:19:53.217516+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-17T03:34:52.592070+02:00"
}
],
"redirects_to_company": null,
"redirects_to_company_reason": null,
"parent_company": null,
"subsidiary_companies": [],
"similar_companies": [
{
"id": "015354f5-c0b5-7d77-b7a3-2d9159dcabd6",
"type": "company",
"domain": "toasttab.com",
"name": "Toast Tab, Inc.",
"ticker": "NYSE:TOST"
},
{
"id": "015354e1-3157-7e36-883d-c01e24d001a1",
"type": "company",
"domain": "squareup.com",
"name": "Square Inc.",
"ticker": "NYSE:SQ"
},
{
"id": "0154e099-edd4-7f6d-8309-19a6d70a1153",
"type": "company",
"domain": "vagaro.com",
"name": "Vagaro",
"ticker": null
},
{
"id": "016e3753-f830-758e-b9f4-6dc1608f6ac9",
"type": "company",
"domain": "joinblvd.com",
"name": "Boulevard Labs, Inc.",
"ticker": null
},
{
"id": "0160e4cb-854c-7da2-a745-e6b59e0ea29b",
"type": "company",
"domain": "glossgenius.com",
"name": "GlossGenius",
"ticker": null
}
],
"employees_min": 11,
"employees_max": 50,
"social_associated_members": 34,
"social_logo": "https://media.licdn.com/dms/image/v2/C560BAQHr5TzG8l8HZg/company-logo_200_200/company-logo_200_200/0/1644532656596/directtips_logo?e=2147483647&v=beta&t=xOcm6avQ2hBFivlccvElWIOZFcYMXgp_XP7K-HpAKH8",
"social_slogan": "Cashless Tipping Solutions For Any Business!",
"social_description": "We are tipping experts with optimized solutions for any business. The best part? We deposit tips instantly. Some call it magic, we call it expertise.",
"social_url": "https://www.linkedin.com/company/directtips",
"social_industry": "Financial Services",
"social_company_type": "Privately Held",
"social_headquarters": "Fort Lauderdale, Florida",
"social_founded": "2016",
"social_funding_price": "US$ 690.8K",
"social_funding_last_round_date": "2020-05-20",
"social_funding_last_round_stage": "Seed",
"social_crunchbase_url": "https://www.crunchbase.com/organization/directtips",
"social_ticker": null,
"social_specialties": [
"technology",
"software",
"service industry",
"Hospitality",
"fintech",
"tipping",
"digital tipping",
"cashless tipping",
"Beauty Industry",
"Restaurant tipping",
"and Fitness Tipping"
],
"social_company_id": 11544088,
"social_stats": [
{
"followers": 2224,
"updated_at": "2024-09-30",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2251,
"updated_at": "2025-01-31",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2250,
"updated_at": "2025-03-31",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2357,
"updated_at": "2025-07-31",
"associated_members": 31,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2351,
"updated_at": "2025-09-30",
"associated_members": 31,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2358,
"updated_at": "2025-12-31",
"associated_members": 32,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2370,
"updated_at": "2026-03-31",
"associated_members": 32,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2374,
"updated_at": "2026-05-31",
"associated_members": 34,
"employees_min": 11,
"employees_max": 50
}
],
"social_location_data": [
{
"city": "Oakland Park",
"state": "Florida",
"country": "United States"
},
{
"city": "Reading",
"state": "Pennsylvania",
"country": "United States"
}
],
"naics6_codes": [
"522320"
],
"revenue_range": "From $10,000,000 to $49,999,999",
"revenue_range_data": {
"revenue_range_low": 10000000,
"revenue_range_high": 49999999
},
"revenue_source": "company_size_based_estimate"
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "ExtendedCompaniesDataset",
"summary": "Extended information about companies.\n",
"description": "The Extended Companies Dataset includes additional company data such as Company size range,\nCompany Logo, Company Slogan, Industry, Company Type and other company information.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "ExtendedCompany",
"description": "The `ExtendedCompany` object.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker",
"friendly_name",
"meta_title",
"meta_description",
"description",
"description_short",
"language",
"location",
"location_data",
"last_extraction_states",
"redirects_to_company",
"redirects_to_company_reason",
"parent_company",
"subsidiary_companies",
"similar_companies",
"employees_min",
"employees_max",
"social_associated_members",
"social_logo",
"social_slogan",
"social_description",
"social_url",
"social_industry",
"social_company_type",
"social_headquarters",
"social_founded",
"social_funding_price",
"social_funding_last_round_date",
"social_funding_last_round_stage",
"social_crunchbase_url",
"social_ticker",
"social_specialties",
"social_company_id",
"social_stats",
"social_location_data",
"naics6_codes",
"revenue_range",
"revenue_range_data",
"revenue_source"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
},
"friendly_name": {
"description": "Company friendly name.",
"type": [
"string",
"null"
]
},
"meta_title": {
"description": "Company website's meta title.",
"type": [
"string",
"null"
]
},
"meta_description": {
"description": "Company website's meta description.",
"type": [
"string",
"null"
]
},
"description": {
"description": "Translated and summarized description.",
"type": [
"string",
"null"
]
},
"description_short": {
"description": "Short version of the translated and summarized description.",
"type": [
"string",
"null"
]
},
"language": {
"description": "`Company` website's language.",
"type": [
"string",
"null"
]
},
"location": {
"description": "`Company` location.\n<br>\n**NOTE**: It is built from the `location_data` attributes if present.\n",
"example": "Menlo Park, California, 94025, United States, Northern America, Americas",
"type": [
"string",
"null"
]
},
"location_data": {
"description": "**NOTE**: Currently contains at most one object.",
"type": "array",
"items": {
"title": "CompanyLocationData",
"description": "The `CompanyLocationData` object.",
"example": {
"id": "0196e906-3aab-716c-b14b-9cc5f2778291",
"type": "company_location_data",
"location": "4145 SW Watson Ave, Beaverton, Oregon 97005, United States",
"zip_code": "97005",
"street_address": "4145 SW Watson Ave",
"city": "Beaverton",
"county": "Washington County",
"admin_area": "Oregon",
"state": "Oregon",
"country": "United States",
"continent": "North America",
"latitude": 45.489652,
"longitude": -122.806691,
"fuzzy_match": false,
"category": "headquarters"
},
"type": "object",
"required": [
"id",
"type",
"location",
"zip_code",
"street_address",
"city",
"county",
"admin_area",
"state",
"country",
"continent",
"latitude",
"longitude",
"fuzzy_match",
"category"
],
"properties": {
"id": {
"description": "ID of the `CompanyLocationData` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "Type of the `CompanyLocationData` object.",
"const": "company_location_data"
},
"location": {
"description": "Location as a string.",
"example": "4145 SW Watson Ave, Beaverton, Oregon 97005, United States",
"type": "string"
},
"zip_code": {
"description": "ZIP code of the location.",
"example": "97005",
"type": [
"string",
"null"
]
},
"street_address": {
"description": "Street address of the location.",
"example": "4145 SW Watson Ave",
"type": [
"string",
"null"
]
},
"city": {
"description": "City of the location.",
"example": "Beaverton",
"type": [
"string",
"null"
]
},
"county": {
"description": "County of the location.",
"example": "Washington County",
"type": [
"string",
"null"
]
},
"admin_area": {
"description": "Administrative area of the location.",
"example": "Oregon",
"type": [
"string",
"null"
]
},
"state": {
"description": "State of the location.",
"example": "Oregon",
"type": [
"string",
"null"
]
},
"country": {
"description": "Country of the location.",
"example": "United States",
"type": [
"string",
"null"
]
},
"continent": {
"description": "Continent of the location.",
"example": "North America",
"type": [
"string",
"null"
]
},
"latitude": {
"description": "Latitude coordinate of the location.",
"example": 45.489652,
"type": [
"number",
"null"
]
},
"longitude": {
"description": "Longitude coordinate of the location.",
"example": -122.806691,
"type": [
"number",
"null"
]
},
"fuzzy_match": {
"description": "`true` indicates that location data may not have been extracted accurately.\n<br>\n`false` indicates that location data has been extracted correctly.\n",
"type": "boolean",
"example": false
},
"category": {
"description": "Location category.",
"example": "headquarters",
"type": "string",
"enum": [
"headquarters",
"office",
"retail",
"facility",
"service_area",
"registered_address",
"unknown"
]
}
}
}
},
"last_extraction_states": {
"description": "Extraction states of the company website's main subpage.",
"type": "array",
"items": {
"type": "object",
"required": [
"status",
"status_code",
"processed_at"
],
"properties": {
"status": {
"description": "Extraction status.",
"type": "string"
},
"status_code": {
"description": "HTTP response status code.",
"type": [
"integer",
"null"
]
},
"processed_at": {
"description": "Date & time (ISO 8601) of when the `Company` was last processed.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
}
}
}
},
"redirects_to_company": {
"title": "Company",
"description": "The company this company's domain redirects to.",
"type": [
"object",
"null"
],
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"redirects_to_company_reason": {
"description": "Reason of the redirect.",
"type": [
"string",
"null"
],
"enum": [
"acquisition_merger",
"locality",
"rebranding",
null
]
},
"parent_company": {
"title": "Company",
"description": "The company's parent company.",
"type": [
"object",
"null"
],
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"subsidiary_companies": {
"description": "The company's subsidiary companies.",
"type": "array",
"items": {
"title": "Company",
"description": "A subsidiary company of this company.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
},
"similar_companies": {
"description": "Companies similar to this company. Up to 5 are returned.",
"type": "array",
"items": {
"title": "Company",
"description": "A company similar to this company.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
},
"employees_min": {
"description": "Lower bound number of the company size range.",
"type": [
"integer",
"null"
]
},
"employees_max": {
"description": "Upper bound number of the company size range.",
"type": [
"integer",
"null"
]
},
"social_associated_members": {
"description": "Number of associated members on the company's social profile.",
"type": [
"integer",
"null"
]
},
"social_logo": {
"description": "Company social profile logo URL.",
"type": [
"string",
"null"
]
},
"social_slogan": {
"description": "Company social profile slogan.",
"type": [
"string",
"null"
]
},
"social_description": {
"description": "Company social profile description.",
"type": [
"string",
"null"
]
},
"social_url": {
"description": "Company social profile URL.",
"type": [
"string",
"null"
]
},
"social_industry": {
"description": "Company industry from social profile data.",
"type": [
"string",
"null"
]
},
"social_company_type": {
"description": "Company ownership structure.",
"type": [
"string",
"null"
]
},
"social_headquarters": {
"description": "Company headquarters.",
"type": [
"string",
"null"
]
},
"social_founded": {
"description": "Year the company was founded.",
"type": [
"string",
"null"
]
},
"social_funding_price": {
"description": "Company funding amount.",
"type": [
"string",
"null"
]
},
"social_funding_last_round_date": {
"description": "Company funding last round date.",
"type": [
"string",
"null"
],
"format": "date"
},
"social_funding_last_round_stage": {
"description": "Company funding last round stage.",
"type": [
"string",
"null"
]
},
"social_crunchbase_url": {
"description": "Company Crunchbase URL.",
"type": [
"string",
"null"
]
},
"social_ticker": {
"description": "Company ticker from social profile data.",
"type": [
"string",
"null"
]
},
"social_specialties": {
"description": "Company specialties from social profile data.",
"type": [
"array",
"null"
]
},
"social_company_id": {
"description": "Company social profile ID.",
"type": [
"integer",
"null"
]
},
"social_stats": {
"description": "Follower and employee statistics from the company's social profile over time.",
"type": [
"array",
"null"
],
"items": {
"title": "SocialStats",
"description": "The `SocialStats` object.",
"type": "object",
"required": [
"associated_members",
"followers",
"updated_at"
],
"properties": {
"associated_members": {
"type": [
"integer",
"null"
]
},
"followers": {
"type": [
"integer",
"null"
]
},
"employees_min": {
"type": [
"integer"
]
},
"employees_max": {
"type": [
"integer"
]
},
"updated_at": {
"type": [
"string"
],
"format": "date"
}
}
}
},
"social_location_data": {
"description": "Company locations from the social profile, primary location first.",
"type": "array",
"items": {
"title": "LocationDataLite",
"description": "The `LocationDataLite` object.",
"example": {
"city": "Menlo Park",
"state": "California",
"country": "United States"
},
"type": "object",
"required": [
"city",
"state",
"country"
],
"properties": {
"city": {
"description": "City of the location.",
"example": "Menlo Park",
"type": [
"string",
"null"
]
},
"state": {
"description": "State of the location.",
"example": "California",
"type": [
"string",
"null"
]
},
"country": {
"description": "Country of the location.",
"example": "United States",
"type": [
"string",
"null"
]
}
}
}
},
"naics6_codes": {
"description": "Company's NAICS codes.",
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
},
"revenue_range": {
"description": "Estimated revenue range.",
"type": [
"string",
"null"
]
},
"revenue_range_data": {
"description": "Revenue range data.",
"type": "object",
"properties": {
"revenue_range_low": {
"type": [
"integer",
"null"
]
},
"revenue_range_high": {
"type": [
"integer",
"null"
]
}
}
},
"revenue_source": {
"description": "Where the revenue range figure came from.",
"type": [
"string",
"null"
],
"enum": [
"sec_filing",
"wikipedia_infobox",
"evidence_based_estimate",
"company_size_based_estimate",
"manually_reviewed",
null
]
}
}
}
},
"meta": {
"description": "Meta information about `ExtendedCompaniesDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "0164245a-5850-76aa-ba63-f947a5904cbb",
"type": "company",
"domain": "meettippy.com",
"name": "DirectTIPS Operations, LLC.",
"friendly_name": "Tippy",
"ticker": null,
"meta_title": "Homepage - Tippy",
"meta_description": "We are tipping experts with optimized solutions for Salons & Spas. Groomers. Fitness. Auto Shops. Your Business. Let us find the best tipping solution for you! Enter your email to get started! Yay Tippy! Winners for Best Work Spaces, Best of Fort Lauderdale 2022! Thank you Fort Lauderdale Magazine and",
"description": "Tippy provides digital tipping solutions designed for service-based businesses, including salons, spas, grooming facilities, fitness centers, and auto shops. The organization facilitates the collection of gratuities and manages instant payouts to service professionals. To support these operations, the organization integrates with point-of-sale systems and provides standalone kiosks to handle the processing of tips.",
"description_short": "Tippy provides digital tipping solutions for service-based businesses such as salons, spas, grooming facilities, fitness centers, and auto shops.",
"language": "en",
"location": "2755 E Oakland Park Blvd, Fort Lauderdale, Florida 33306, United States",
"location_data": [
{
"id": "01a0b033-9b07-76c1-9add-771c1429f0be",
"type": "company_location_data",
"location": "2755 E Oakland Park Blvd, Fort Lauderdale, Florida 33306, United States",
"zip_code": "33306",
"street_address": "2755 East Oakland Park Boulevard",
"city": "Fort Lauderdale",
"county": "Broward County",
"admin_area": "Florida",
"state": "Florida",
"country": "United States",
"continent": "North America",
"latitude": 26.16749,
"longitude": -80.11004,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a0b033-9b07-7de9-b86c-11b73e76fc12",
"type": "company_location_data",
"location": "935 Berkshire Blvd, Reading, Pennsylvania 19610, United States",
"zip_code": "19606",
"street_address": null,
"city": "Reading",
"county": "Berks County",
"admin_area": "Pennsylvania",
"state": "Pennsylvania",
"country": "United States",
"continent": "North America",
"latitude": 40.346978,
"longitude": -75.924261,
"fuzzy_match": true,
"category": "unknown"
}
],
"last_extraction_states": [
{
"status": "processing_error",
"status_code": null,
"processed_at": "2025-09-28T18:27:10.706385+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-03-28T18:54:01.541244+01:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-06-04T18:49:35.324089+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-04T19:12:11.918288+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-05T18:19:53.217516+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-17T03:34:52.592070+02:00"
}
],
"redirects_to_company": null,
"redirects_to_company_reason": null,
"parent_company": null,
"subsidiary_companies": [],
"similar_companies": [
{
"id": "015354f5-c0b5-7d77-b7a3-2d9159dcabd6",
"type": "company",
"domain": "toasttab.com",
"name": "Toast Tab, Inc.",
"ticker": "NYSE:TOST"
},
{
"id": "015354e1-3157-7e36-883d-c01e24d001a1",
"type": "company",
"domain": "squareup.com",
"name": "Square Inc.",
"ticker": "NYSE:SQ"
},
{
"id": "0154e099-edd4-7f6d-8309-19a6d70a1153",
"type": "company",
"domain": "vagaro.com",
"name": "Vagaro",
"ticker": null
},
{
"id": "016e3753-f830-758e-b9f4-6dc1608f6ac9",
"type": "company",
"domain": "joinblvd.com",
"name": "Boulevard Labs, Inc.",
"ticker": null
},
{
"id": "0160e4cb-854c-7da2-a745-e6b59e0ea29b",
"type": "company",
"domain": "glossgenius.com",
"name": "GlossGenius",
"ticker": null
}
],
"employees_min": 11,
"employees_max": 50,
"social_associated_members": 34,
"social_logo": "https://media.licdn.com/dms/image/v2/C560BAQHr5TzG8l8HZg/company-logo_200_200/company-logo_200_200/0/1644532656596/directtips_logo?e=2147483647&v=beta&t=xOcm6avQ2hBFivlccvElWIOZFcYMXgp_XP7K-HpAKH8",
"social_slogan": "Cashless Tipping Solutions For Any Business!",
"social_description": "We are tipping experts with optimized solutions for any business. The best part? We deposit tips instantly. Some call it magic, we call it expertise.",
"social_url": "https://www.linkedin.com/company/directtips",
"social_industry": "Financial Services",
"social_company_type": "Privately Held",
"social_headquarters": "Fort Lauderdale, Florida",
"social_founded": "2016",
"social_funding_price": "US$ 690.8K",
"social_funding_last_round_date": "2020-05-20",
"social_funding_last_round_stage": "Seed",
"social_crunchbase_url": "https://www.crunchbase.com/organization/directtips",
"social_ticker": null,
"social_specialties": [
"technology",
"software",
"service industry",
"Hospitality",
"fintech",
"tipping",
"digital tipping",
"cashless tipping",
"Beauty Industry",
"Restaurant tipping",
"and Fitness Tipping"
],
"social_company_id": 11544088,
"social_stats": [
{
"followers": 2224,
"updated_at": "2024-09-30",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2251,
"updated_at": "2025-01-31",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2250,
"updated_at": "2025-03-31",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2357,
"updated_at": "2025-07-31",
"associated_members": 31,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2351,
"updated_at": "2025-09-30",
"associated_members": 31,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2358,
"updated_at": "2025-12-31",
"associated_members": 32,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2370,
"updated_at": "2026-03-31",
"associated_members": 32,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2374,
"updated_at": "2026-05-31",
"associated_members": 34,
"employees_min": 11,
"employees_max": 50
}
],
"social_location_data": [
{
"city": "Oakland Park",
"state": "Florida",
"country": "United States"
},
{
"city": "Reading",
"state": "Pennsylvania",
"country": "United States"
}
],
"naics6_codes": [
"522320"
],
"revenue_range": "From $10,000,000 to $49,999,999",
"revenue_range_data": {
"revenue_range_low": 10000000,
"revenue_range_high": 49999999
},
"revenue_source": "company_size_based_estimate"
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}
}PredictLeads Company Signals surface actionable intelligence about companies by
analysing patterns across all PredictLeads datasets.
Each signal captures a concrete, time-stamped event, such as a hiring surge in a
specific job category or a strategic insight extracted from job descriptions, along
with a human-readable headline, an importance score, and the evidence behind the
detection.
Sales & Revenue Intelligence
Revenue teams can use Company Signals to identify companies showing concrete buying intent or strategic momentum, before it becomes public knowledge.
competitive_displacement signalGTM Teams
Go-to-market teams can use Company Signals to prioritise accounts and personalise messaging with evidence-backed context straight from the company’s own hiring activity.
AI Agents
AI agents can use Company Signals as a structured trigger feed, turning raw hiring data into actionable events without building custom detectors.
For example, a sales automation platform could automatically enqueue a high-priority sequence
whenever a target company shows a hiring_surge signal with subcategory department_hiring_surge in
sales with high importance —
combining timing and relevance in a single data point.
Property in schema:
category
| Category | Description |
|---|---|
corporate_development |
Company acquired another company, merged, sold assets, invested into another company, or spun part of itself off. |
funding |
Company raised financing, named a backer, or went public. |
financials |
Company’s reported revenue, earnings, profitability or valuation. |
people |
Company’s leadership and workforce: an executive or senior personnel change, headcount and team build-out, or a hiring surge against its prior year’s monthly average. |
location_and_facilities |
Company opened, expanded or closed an office, facility or location. |
strategy |
Company changed direction, positioning, pricing, or the market it targets. |
product |
Company launched, is developing, or integrated an offering. |
tech_stack |
Company adopted, licensed or replaced a named technology or platform. |
market_relationships |
Company’s customers, partners and competitors. |
recognition |
Company or a person at the company received an award or recognition. |
legal_and_risk |
Company faces bankruptcy, litigation, security issues, or is winding down. |
other |
A notable company-level event that fits none of the other categories. |
Property in schema:
importance
| Importance | Description |
|---|---|
low |
Minor signal with limited business impact. |
medium |
Notable signal worth monitoring. |
high |
Strong signal indicating significant company activity. |
Property in schema:
sentiment
A signal that has not been reviewed yet carries null.
| Sentiment | Description |
|---|---|
positive |
Good news for the company, e.g. funding raised, a customer won, a product launched. |
negative |
Bad news for the company, e.g. revenue down, a customer lost, layoffs, litigation. |
neutral |
Neither, or a datapoint rather than a direction, e.g. a technology adopted, an integration, a change of course. |
object
|
array
|
object
|
|
|
|
|
array
|
|
Items
|
|
One of
(4 total)
|
string
Constant:
"job_openings"
|
string
Constant:
"sec_filings"
|
string
Constant:
"website_changes"
|
string
Constant:
"technologies"
|
|
One of
(12 total)
|
string
Constant:
"corporate_development"
|
string
Constant:
"funding"
|
string
Constant:
"financials"
|
string
Constant:
"people"
|
string
Constant:
"location_and_facilities"
|
string
Constant:
"strategy"
|
string
Constant:
"product"
|
string
Constant:
"tech_stack"
|
string
Constant:
"market_relationships"
|
string
Constant:
"recognition"
|
string
Constant:
"legal_and_risk"
|
string
Constant:
"other"
|
string
|
null
|
string
|
string
|
null
|
string
|
|
One of
(6 total)
|
object
|
|
|
string
|
integer
|
number
|
|
|
general_reason
[optional]
string
|
object
|
|
|
string
|
integer
|
number
|
state
[optional]
string
|
country
[optional]
string
|
location_raw
[optional]
string
|
|
|
general_reason
[optional]
string
|
object
|
|
|
integer
|
number
|
open_positions_total
[optional]
integer
|
department_details
[optional]
array
|
|
Items
object
|
string
|
integer
|
number
|
location_details
[optional]
array
|
|
Items
object
|
string
|
integer
|
number
|
object
|
|
|
source_item
[optional]
string
|
person
[optional]
string
|
job_title
[optional]
string
|
change_type
[optional]
|
|
One of
(5 total)
|
string
Constant:
"officer_appointment"
|
string
Constant:
"officer_departure"
|
string
Constant:
"board_appointment"
|
string
Constant:
"board_departure"
|
string
Constant:
"interim_appointment"
|
acquirer
[optional]
string
|
acquired_company
[optional]
string
|
amount
[optional]
string
|
amount_normalized
[optional]
integer
|
partners
[optional]
array
|
|
Items
string
|
former_parent
[optional]
string
|
lender
[optional]
string
|
debt_instrument
[optional]
|
|
One of
(2 total)
|
string
Constant:
"security"
|
string
Constant:
"loan"
|
financing_type
[optional]
string
|
exchange
[optional]
string
|
predecessor
[optional]
string
|
successor
[optional]
string
|
object
|
|
|
financing_type
[optional]
string
|
amount
[optional]
string
|
amount_normalized
[optional]
integer
|
valuation
[optional]
string
|
valuation_normalized
[optional]
integer
|
valuation_increase
[optional]
string
|
valuation_increase_normalized
[optional]
integer
|
growth_metric
[optional]
string
|
growth_metric_type
[optional]
|
|
One of
(5 total)
|
string
Constant:
"revenue"
|
string
Constant:
"users"
|
string
Constant:
"customers"
|
string
Constant:
"transactions"
|
string
Constant:
"other"
|
growth_metric_scope
[optional]
string
|
growth_metric_normalized
[optional]
integer
|
growth_metric_annual_multiplier
[optional]
number
|
product
[optional]
string
|
acquirer
[optional]
string
|
acquired_company
[optional]
string
|
integration
[optional]
string
|
market
[optional]
string
|
office_location
[optional]
string
|
technology
[optional]
string
|
recognition
[optional]
string
|
customers
[optional]
array
|
|
Items
string
|
investors
[optional]
array
|
|
Items
string
|
partners
[optional]
array
|
|
Items
string
|
merging_companies
[optional]
array
|
|
Items
string
|
lender
[optional]
string
|
exchange
[optional]
string
|
former_parent
[optional]
string
|
predecessor
[optional]
string
|
person
[optional]
string
|
job_title
[optional]
string
|
change_type
[optional]
|
|
One of
(5 total)
|
string
Constant:
"officer_appointment"
|
string
Constant:
"officer_departure"
|
string
Constant:
"board_appointment"
|
string
Constant:
"board_departure"
|
string
Constant:
"interim_appointment"
|
debt_instrument
[optional]
|
|
One of
(2 total)
|
string
Constant:
"security"
|
string
Constant:
"loan"
|
successor
[optional]
string
|
|
|
object
|
|
|
string
|
|
|
string
|
|
|
|
|
|
|
|
One of
(3 total)
|
string
Constant:
"low"
|
string
Constant:
"medium"
|
string
Constant:
"high"
|
|
One of
(4 total)
|
string
Constant:
"positive"
|
string
Constant:
"negative"
|
string
Constant:
"neutral"
|
null
|
|
|
|
|
object
|
|
|
|
|
string
|
string
|
null
|
string
|
null
|
array
|
|
Items
object
|
|
|
|
|
array
|
|
Items
object
|
|
|
|
|
meta
[optional]
object
|
string
|
|
|
|
|
{
"data": [
{
"id": "019ff376-0929-770a-bef2-fdc11f58d6d0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "department_hiring_surge",
"headline": "Hiring surge in Operations",
"summary": "Hiring surge in Operations, with 11 new openings in the last 30 days against a usual 1.56 a month.",
"evidence": "11 new openings in the last 30 days vs 1.6 monthly average.",
"details": {
"type": "department_hiring_surge_details",
"openings": 11,
"department": "Operations",
"monthly_average": 1.56
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-0929-7818-9a23-bd3108dc0ca0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "location_hiring_surge",
"headline": "Hiring surge in California, United States",
"summary": "Hiring surge in California, United States, with 29 new openings in the last 30 days against a usual 9.37 a month.",
"evidence": "29 new openings in the last 30 days vs 9.4 monthly average.",
"details": {
"type": "location_hiring_surge_details",
"state": "California",
"country": "United States",
"location": "California, United States",
"openings": 29,
"location_raw": "San Francisco",
"monthly_average": 9.37
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7ab1-b24f-2f06c52841d4",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "financials",
"subcategory": "profitability",
"headline": "Achieved profitability",
"summary": "The company is currently profitable.",
"evidence": "\"Mercor is a profitable Series C company valued at $10 billion.\"",
"details": {
"type": "company_signal_details"
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-13T21:36:36Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019f5d71-9251-7569-998b-e056d8ebb116",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7b0a-8957-acc8f5d288ac",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "product",
"subcategory": "product_launch",
"headline": "Launched APEX benchmark family",
"summary": "The company has released its APEX benchmark family to measure AI's real-world impact.",
"evidence": "\"Mercor's APEX benchmark family measures AI's real-world impact on professional work.\"",
"details": {
"type": "company_signal_details",
"product": "APEX benchmark family"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-27T21:59:55Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019fa597-c6ae-768e-ab61-784e3578b7c0",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "01a05d24-aebc-716d-a81c-cc3d452dd9de",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "other",
"subcategory": "growth_signal",
"headline": "Building a Strategic Finance team",
"summary": "Building a Strategic Finance team to elevate planning, resource allocation, and performance assessment as the company scales.",
"evidence": "\"As we scale, we’re building out a Strategic Finance team to elevate how we plan, allocate resources, and assess performance across the business.\"",
"details": {
"type": "company_signal_details"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-09-01T13:24:40Z",
"first_seen_at": "2026-08-14T00:28:06Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019ffdab-87e6-7769-b10a-04dd2675efaa",
"type": "job_opening"
},
{
"id": "01a0ce94-cf04-7fdf-abc1-80668d42fd9f",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
}
],
"meta": {
"schema_version": "4.2",
"record_state": "active"
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "CompanySignalsDataset",
"summary": "Signals about company activity derived from PredictLeads datasets.\n",
"description": "PredictLeads Company Signals surface actionable intelligence about companies by\nanalysing patterns across all PredictLeads datasets.\n<br><br>\nEach signal captures a concrete, time-stamped event, such as a hiring surge in a\nspecific job category or a strategic insight extracted from job descriptions, along\nwith a human-readable headline, an importance score, and the evidence behind the\ndetection.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "CompanySignal",
"description": "The `CompanySignal` object.",
"type": "object",
"required": [
"id",
"type",
"sources",
"category",
"subcategory",
"headline",
"summary",
"evidence",
"details",
"importance",
"sentiment",
"detected_at",
"first_seen_at",
"company",
"detected_on_job_openings",
"detected_on_sec_filings"
],
"properties": {
"id": {
"description": "ID of the `CompanySignal` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company_signal"
},
"sources": {
"description": "The data endpoints this signal was derived from.",
"type": "array",
"items": {
"oneOf": [
{
"const": "job_openings",
"description": "Signal derived from the job openings dataset."
},
{
"const": "sec_filings",
"description": "Signal derived from SEC filings."
},
{
"const": "website_changes",
"description": "Signal derived from the website changes dataset."
},
{
"const": "technologies",
"description": "Signal derived from the technology detections dataset."
}
]
}
},
"category": {
"description": "The group the signal's `subcategory` belongs to.",
"oneOf": [
{
"const": "corporate_development",
"description": "Company acquired another company, merged, sold assets, invested into another company, or spun part of itself off."
},
{
"const": "funding",
"description": "Company raised financing, named a backer, or went public."
},
{
"const": "financials",
"description": "Company's reported revenue, earnings, profitability or valuation."
},
{
"const": "people",
"description": "Company's leadership and workforce: an executive or senior personnel change, headcount and team build-out, or a hiring surge against its prior year's monthly average."
},
{
"const": "location_and_facilities",
"description": "Company opened, expanded or closed an office, facility or location."
},
{
"const": "strategy",
"description": "Company changed direction, positioning, pricing, or the market it targets."
},
{
"const": "product",
"description": "Company launched, is developing, or integrated an offering."
},
{
"const": "tech_stack",
"description": "Company adopted, licensed or replaced a named technology or platform."
},
{
"const": "market_relationships",
"description": "Company's customers, partners and competitors."
},
{
"const": "recognition",
"description": "Company or a person at the company received an award or recognition."
},
{
"const": "legal_and_risk",
"description": "Company faces bankruptcy, litigation, security issues, or is winding down."
},
{
"const": "other",
"description": "A notable company-level event that fits none of the other categories."
}
]
},
"subcategory": {
"description": "What the signal reports, within its `category` group (e.g. `\"financing_event\"` under\n`funding`, `\"product_launch\"` under `product`).\nA hiring surge names the dimension it was counted along -- `\"company_wide_hiring_surge\"`,\n`\"department_hiring_surge\"` or `\"location_hiring_surge\"`, all under `people`. The bucket\nthat surged (the job opening category, or the location with its state and country) is in\n`details`.\n",
"type": [
"string",
"null"
]
},
"headline": {
"description": "A short human-readable summary of the signal.",
"type": "string"
},
"summary": {
"description": "The headline extended with the specifics behind it, in one sentence.",
"type": [
"string",
"null"
]
},
"evidence": {
"description": "Evidence supporting the signal: a verbatim excerpt from the source for signals read out of a job description or a SEC filing, or a human-readable explanation for hiring surge signals.",
"type": "string"
},
"details": {
"description": "Structured extras recorded about the signal, keyed by name. Which keys are present depends on what detected the signal, so the object takes exactly one of the definitions below.",
"oneOf": [
{
"title": "DepartmentHiringSurgeDetails",
"description": "Details of a hiring surge counted within one job category.",
"type": "object",
"required": [
"type",
"department",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "department_hiring_surge_details"
},
"department": {
"description": "The job category that surged.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
},
"general": {
"description": "A mark the curator recorded about the signal. Present only on a hiring surge whose bucket the curator judged out of character for the company.",
"type": "string",
"enum": [
"unexpected_surge_for_a_company"
]
},
"general_reason": {
"description": "Why the curator recorded the mark in `general`: what the company does and why the surging bucket falls outside it.",
"type": "string",
"maxLength": 200
}
}
},
{
"title": "LocationHiringSurgeDetails",
"description": "Details of a hiring surge counted within one hiring location.",
"type": "object",
"required": [
"type",
"location",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "location_hiring_surge_details"
},
"location": {
"description": "The location that surged, its state and country when the state is known (e.g. `\"California, United States\"`), its country otherwise.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
},
"state": {
"description": "State or region of the surging location, absent when only the country resolved.",
"type": "string"
},
"country": {
"description": "Country of the surging location.",
"type": "string"
},
"location_raw": {
"description": "The location exactly as one of the counted job postings worded it.",
"type": "string"
},
"general": {
"description": "A mark the curator recorded about the signal. Present only on a hiring surge whose bucket the curator judged out of character for the company.",
"type": "string",
"enum": [
"unexpected_surge_for_a_company"
]
},
"general_reason": {
"description": "Why the curator recorded the mark in `general`: what the company does and why the surging bucket falls outside it.",
"type": "string",
"maxLength": 200
}
}
},
{
"title": "CompanyWideHiringSurgeDetails",
"description": "Details of a hiring surge counted across every job opening of the company.",
"type": "object",
"required": [
"type",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "company_wide_hiring_surge_details"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
},
"open_positions_total": {
"description": "Open positions when the surge was detected, a total rather than new postings.",
"type": "integer"
},
"department_details": {
"description": "Every job category the company is hiring in or averaged an opening a month in.",
"type": "array",
"items": {
"type": "object",
"required": [
"department",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"department": {
"description": "The department this entry counts.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
}
}
}
},
"location_details": {
"description": "Every location the company is hiring in or averaged an opening a month in.",
"type": "array",
"items": {
"type": "object",
"required": [
"location",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"location": {
"description": "The location this entry counts.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
}
}
}
}
}
},
{
"title": "SECFilingSignalDetails",
"description": "Details of a signal extracted from a SEC filing, where a `financing_event` is always debt.",
"type": "object",
"required": [
"type"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "sec_filing_signal_details"
},
"source_item": {
"description": "The Form 8-K item the event was reported under, e.g. `5.02`.",
"type": "string"
},
"person": {
"description": "The individual named, as worded, with no courtesy title, on a `leadership_change` signal.",
"type": "string"
},
"job_title": {
"description": "The title a person takes or leaves, as worded, on a `leadership_change` signal.",
"type": "string"
},
"change_type": {
"description": "Which leadership change this is, on a `leadership_change` signal.",
"oneOf": [
{
"const": "officer_appointment"
},
{
"const": "officer_departure"
},
{
"const": "board_appointment"
},
{
"const": "board_departure"
},
{
"const": "interim_appointment"
}
]
},
"acquirer": {
"description": "The buyer: the company doing the acquiring on an `acquisition` signal, or the one buying the business on an `asset_sale`.",
"type": "string"
},
"acquired_company": {
"description": "The company being acquired, on an `acquisition` signal.",
"type": "string"
},
"amount": {
"description": "The monetary figure the signal turns on, as worded, e.g. `$1.2 billion`. On a `financing_raised_to_date` signal it is the cumulative total raised rather than any single figure.",
"type": "string"
},
"amount_normalized": {
"description": "The `amount` figure in whole US dollars, taking the midpoint where the wording states a range.",
"type": "integer"
},
"partners": {
"description": "Partners named, on a `partnership` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"former_parent": {
"description": "The parent the registrant was separated out of, on a `spin_off` signal.",
"type": "string"
},
"lender": {
"description": "The lender or administrative agent, on a `financing_event` or `debt_agreement_amendment`. Never the company the signal is about.",
"type": "string"
},
"debt_instrument": {
"description": "How the debt is structured, on a debt `financing_event` signal: `security` for a tradable instrument such as notes or bonds, `loan` for an agreement with a bank or a lender group.",
"oneOf": [
{
"const": "security"
},
{
"const": "loan"
}
]
},
"financing_type": {
"description": "The kind of financing raised, on a `financing_event` signal.",
"type": "string"
},
"exchange": {
"description": "The stock exchange a listing signal is about.",
"type": "string"
},
"predecessor": {
"description": "The outgoing audit firm, on an auditor change signal.",
"type": "string"
},
"successor": {
"description": "The incoming audit firm, on an auditor change signal.",
"type": "string"
}
}
},
{
"title": "CompanySignalDetails",
"description": "Details of a signal read out of a job description or a change on the company's website: the specifics behind it, keyed by name. Which keys are present follows from the `subcategory`.",
"type": "object",
"required": [
"type"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "company_signal_details"
},
"financing_type": {
"description": "The kind of financing raised, on a `financing_event` signal.",
"type": "string"
},
"amount": {
"description": "The monetary figure the signal turns on, as worded, e.g. `$1.2 billion`. On a `financing_raised_to_date` signal it is the cumulative total raised rather than any single figure.",
"type": "string"
},
"amount_normalized": {
"description": "The `amount` figure in whole US dollars, taking the midpoint where the wording states a range.",
"type": "integer"
},
"valuation": {
"description": "Valuation as worded, on a `valuation` signal.",
"type": "string"
},
"valuation_normalized": {
"description": "Valuation in whole US dollars.",
"type": "integer"
},
"valuation_increase": {
"description": "Valuation increase as worded, on a `valuation_increase` signal.",
"type": "string"
},
"valuation_increase_normalized": {
"description": "Valuation increase in whole US dollars.",
"type": "integer"
},
"growth_metric": {
"description": "The figure the company grows by, as worded, on a `growth_signal`, `revenue` or `revenue_increase` signal.",
"type": "string"
},
"growth_metric_type": {
"description": "What the figure counts. A rate of change is typed by what it counts, so revenue growth is `revenue`.",
"oneOf": [
{
"const": "revenue"
},
{
"const": "users"
},
{
"const": "customers"
},
{
"const": "transactions"
},
{
"const": "other"
}
]
},
"growth_metric_scope": {
"description": "The slice of the business the figure covers when it is not the whole company - a region, a segment or a channel. Absent when the evidence does not scope the figure, which normally means it covers the whole company.",
"type": "string"
},
"growth_metric_normalized": {
"description": "The `growth_metric` figure as a whole number. Its unit follows `growth_metric_type`: US dollars when the type is monetary, converted at an approximate recent rate, so 5400000 for \"€5M ARR\", and the plain count otherwise, so 1700000 for \"1.7 million users\". Absent when the wording states a rate or a vague phrase rather than a figure, as in \"grown 10x\".",
"type": "integer"
},
"growth_metric_annual_multiplier": {
"description": "The growth as a multiplier over one year. Growth stated over a longer period is annualised, so \"10x since 2022\" read in 2026 is 1.78 rather than 10.",
"type": "number"
},
"product": {
"description": "The product named, on a `product_launch` or `product_in_development` signal.",
"type": "string"
},
"acquirer": {
"description": "The buyer: the company doing the acquiring on an `acquisition` signal, or the one buying the business on an `asset_sale`.",
"type": "string"
},
"acquired_company": {
"description": "The company being acquired, on an `acquisition` signal.",
"type": "string"
},
"integration": {
"description": "The product or platform integrated with, on an `integration` signal.",
"type": "string"
},
"market": {
"description": "The segment, vertical or market entered, on a `market_entry` signal.",
"type": "string"
},
"office_location": {
"description": "The place the office is opening, on a `new_office` signal.",
"type": "string"
},
"technology": {
"description": "The technology or platform adopted, on a `technology_adoption` signal.",
"type": "string"
},
"recognition": {
"description": "The award or listing named, on a `recognition` signal.",
"type": "string"
},
"customers": {
"description": "Customers named, on a `customer_identified` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"investors": {
"description": "Investors named: those backing the company on an `investor_identified` or `financing_raised_to_date` signal, those taking part in the round on a `financing_event` one.",
"type": "array",
"items": {
"type": "string"
}
},
"partners": {
"description": "Partners named, on a `partnership` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"merging_companies": {
"description": "The companies combining, this one included, on a `merger` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"lender": {
"description": "The lender or administrative agent, on a `financing_event` or `debt_agreement_amendment`. Never the company the signal is about.",
"type": "string"
},
"exchange": {
"description": "The stock exchange a listing signal is about.",
"type": "string"
},
"former_parent": {
"description": "The parent the registrant was separated out of, on a `spin_off` signal.",
"type": "string"
},
"predecessor": {
"description": "The outgoing audit firm, on an auditor change signal.",
"type": "string"
},
"person": {
"description": "The individual named, as worded, with no courtesy title, on a `leadership_change` signal.",
"type": "string"
},
"job_title": {
"description": "The title a person takes or leaves, as worded, on a `leadership_change` signal.",
"type": "string"
},
"change_type": {
"description": "Which leadership change this is, on a `leadership_change` signal.",
"oneOf": [
{
"const": "officer_appointment"
},
{
"const": "officer_departure"
},
{
"const": "board_appointment"
},
{
"const": "board_departure"
},
{
"const": "interim_appointment"
}
]
},
"debt_instrument": {
"description": "How the debt is structured, on a debt `financing_event` signal: `security` for a tradable instrument such as notes or bonds, `loan` for an agreement with a bank or a lender group.",
"oneOf": [
{
"const": "security"
},
{
"const": "loan"
}
]
},
"successor": {
"description": "The incoming audit firm, on an auditor change signal.",
"type": "string"
},
"evidence_type": {
"description": "Which sides of the website change the evidence was taken from, on a signal converted from one: `added_text`, `removed_text` for text that disappeared from the page, or `replaced_text` for text that took the place of removed text. The evidence of a `replaced_text` signal holds both, as `Removed: <old text>` and `Added: <new text>` on separate lines.",
"type": "string",
"enum": [
"added_text",
"removed_text",
"replaced_text"
]
}
}
},
{
"title": "CompetitiveDisplacementDetails",
"description": "Details of a company replacing one technology with a competing one.",
"type": "object",
"required": [
"type",
"from_technology",
"from_technology_id",
"to_technology",
"to_technology_id",
"from_last_seen_at",
"to_first_seen_at"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "competitive_displacement_details"
},
"from_technology": {
"description": "The technology that was dropped.",
"type": "string"
},
"from_technology_id": {
"description": "ID of the dropped technology in the technologies dataset.",
"type": "string",
"format": "uuid"
},
"to_technology": {
"description": "The competing technology that replaced it.",
"type": "string"
},
"to_technology_id": {
"description": "ID of the replacing technology in the technologies dataset.",
"type": "string",
"format": "uuid"
},
"from_last_seen_at": {
"description": "Date (ISO 8601) the dropped technology was last detected.",
"type": "string",
"format": "date",
"example": "2024-09-25"
},
"to_first_seen_at": {
"description": "Date (ISO 8601) the replacing technology was first detected.",
"type": "string",
"format": "date",
"example": "2024-09-25"
}
}
}
]
},
"importance": {
"description": "Assessed importance of the signal.",
"oneOf": [
{
"const": "low",
"description": "Minor signal with limited business impact."
},
{
"const": "medium",
"description": "Notable signal worth monitoring."
},
{
"const": "high",
"description": "Strong signal indicating significant company activity."
}
]
},
"sentiment": {
"description": "How the event reads for the company, or `null` until the signal has been reviewed.",
"oneOf": [
{
"const": "positive",
"description": "Good news for the company, e.g. funding raised, a customer won, a product launched."
},
{
"const": "negative",
"description": "Bad news for the company, e.g. revenue down, a customer lost, layoffs, litigation."
},
{
"const": "neutral",
"description": "Neither, or a datapoint rather than a direction, e.g. a technology adopted, an integration, a change of course."
},
{
"type": "null"
}
]
},
"detected_at": {
"description": "Date & time (ISO 8601) when the `CompanySignal` was detected.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"first_seen_at": {
"description": "Date & time (ISO 8601) the signal first became knowable: the earliest job opening linked to it, the website snapshot the change was found in, or for a SEC filing signal the date its filing was made. Null when the signal has no dated source.",
"type": [
"string",
"null"
],
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"company": {
"title": "Company",
"description": "The company this signal is about.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"detected_on_job_openings": {
"description": "Job openings this signal was detected on, earliest first.",
"type": "array",
"items": {
"title": "JobOpening",
"type": "object",
"required": [
"id",
"type"
],
"properties": {
"id": {
"description": "ID of the `JobOpening` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "job_opening"
}
}
}
},
"detected_on_sec_filings": {
"description": "SEC filings this signal was extracted from. The `evidence` of a signal read from a filing is a verbatim sentence of one of these, and the v3 `sec_filings` endpoint serves each one with its form type, filing date, EDGAR URL and full text.",
"type": "array",
"items": {
"title": "SECFiling",
"type": "object",
"required": [
"id",
"type"
],
"properties": {
"id": {
"description": "ID of the `SECFiling` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "sec_filing"
}
}
}
}
}
}
},
"meta": {
"description": "Meta information about `CompanySignalsDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "019ff376-0929-770a-bef2-fdc11f58d6d0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "department_hiring_surge",
"headline": "Hiring surge in Operations",
"summary": "Hiring surge in Operations, with 11 new openings in the last 30 days against a usual 1.56 a month.",
"evidence": "11 new openings in the last 30 days vs 1.6 monthly average.",
"details": {
"type": "department_hiring_surge_details",
"openings": 11,
"department": "Operations",
"monthly_average": 1.56
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-0929-7818-9a23-bd3108dc0ca0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "location_hiring_surge",
"headline": "Hiring surge in California, United States",
"summary": "Hiring surge in California, United States, with 29 new openings in the last 30 days against a usual 9.37 a month.",
"evidence": "29 new openings in the last 30 days vs 9.4 monthly average.",
"details": {
"type": "location_hiring_surge_details",
"state": "California",
"country": "United States",
"location": "California, United States",
"openings": 29,
"location_raw": "San Francisco",
"monthly_average": 9.37
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7ab1-b24f-2f06c52841d4",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "financials",
"subcategory": "profitability",
"headline": "Achieved profitability",
"summary": "The company is currently profitable.",
"evidence": "\"Mercor is a profitable Series C company valued at $10 billion.\"",
"details": {
"type": "company_signal_details"
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-13T21:36:36Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019f5d71-9251-7569-998b-e056d8ebb116",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7b0a-8957-acc8f5d288ac",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "product",
"subcategory": "product_launch",
"headline": "Launched APEX benchmark family",
"summary": "The company has released its APEX benchmark family to measure AI's real-world impact.",
"evidence": "\"Mercor's APEX benchmark family measures AI's real-world impact on professional work.\"",
"details": {
"type": "company_signal_details",
"product": "APEX benchmark family"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-27T21:59:55Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019fa597-c6ae-768e-ab61-784e3578b7c0",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "01a05d24-aebc-716d-a81c-cc3d452dd9de",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "other",
"subcategory": "growth_signal",
"headline": "Building a Strategic Finance team",
"summary": "Building a Strategic Finance team to elevate planning, resource allocation, and performance assessment as the company scales.",
"evidence": "\"As we scale, we’re building out a Strategic Finance team to elevate how we plan, allocate resources, and assess performance across the business.\"",
"details": {
"type": "company_signal_details"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-09-01T13:24:40Z",
"first_seen_at": "2026-08-14T00:28:06Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019ffdab-87e6-7769-b10a-04dd2675efaa",
"type": "job_opening"
},
{
"id": "01a0ce94-cf04-7fdf-abc1-80668d42fd9f",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
}
],
"meta": {
"schema_version": "4.2",
"record_state": "active"
}
}
}Deleted (disapproved) Company Signals.
object
|
array
|
object
|
|
|
|
|
meta
[optional]
object
|
string
|
|
|
|
|
{
"data": [
{
"id": "01a1b222-8f32-7094-b425-b9776092ce17",
"type": "company_signal"
},
{
"id": "01a1b222-98e3-74b4-87e5-05d84927c4f4",
"type": "company_signal"
},
{
"id": "01a1b222-b8d3-76cd-bcb5-4562d9fd3b16",
"type": "company_signal"
},
{
"id": "01a1b222-c998-7ac4-92e1-e5e72fefa657",
"type": "company_signal"
},
{
"id": "01a1b222-dc99-7bff-a27e-c6d753f79749",
"type": "company_signal"
}
],
"meta": {
"schema_version": "4.0",
"record_state": "deleted"
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "CompanySignalsDeletedDataset",
"description": "Deleted (disapproved) Company Signals.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "CompanySignalDeleted",
"description": "The `CompanySignalDeleted` object.",
"type": "object",
"required": [
"id",
"type"
],
"properties": {
"id": {
"description": "ID of the `CompanySignalDeleted` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company_signal"
}
}
}
},
"meta": {
"description": "Meta information about `CompanySignalsDeletedDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "deleted"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "01a1b222-8f32-7094-b425-b9776092ce17",
"type": "company_signal"
},
{
"id": "01a1b222-98e3-74b4-87e5-05d84927c4f4",
"type": "company_signal"
},
{
"id": "01a1b222-b8d3-76cd-bcb5-4562d9fd3b16",
"type": "company_signal"
},
{
"id": "01a1b222-c998-7ac4-92e1-e5e72fefa657",
"type": "company_signal"
},
{
"id": "01a1b222-dc99-7bff-a27e-c6d753f79749",
"type": "company_signal"
}
],
"meta": {
"schema_version": "4.0",
"record_state": "deleted"
}
}
}PredictLeads tracks how company websites change by comparing subpage content snapshots over time. The Website Changes dataset exposes detected changes, including the raw markdown difference and a structured AI rationale explaining the operational or commercial significance of each change.
object
|
array
|
object
|
|
|
|
|
string
|
array
|
|
Items
object
|
|
|
|
One of
(23 total)
|
string
Constant:
"strategic_pivot"
|
string
Constant:
"audience_change"
|
string
Constant:
"product_launch"
|
string
Constant:
"pricing_restructure"
|
string
Constant:
"leadership_change"
|
string
Constant:
"acquisition"
|
string
Constant:
"merger"
|
string
Constant:
"spin_off"
|
string
Constant:
"asset_sale"
|
string
Constant:
"financing_event"
|
string
Constant:
"public_listing"
|
string
Constant:
"exchange_delisting"
|
string
Constant:
"partnership"
|
string
Constant:
"integration"
|
string
Constant:
"investor_identified"
|
string
Constant:
"customer_identified"
|
string
Constant:
"new_office"
|
string
Constant:
"market_entry"
|
string
Constant:
"operational_restructuring"
|
string
Constant:
"recognition"
|
string
Constant:
"attends_event"
|
string
Constant:
"winding_down"
|
string
Constant:
"other"
|
headline
[optional]
string
|
summary
[optional]
string
|
string
|
null
|
string
|
null
|
|
One of
(3 total)
|
string
Constant:
"added_text"
|
string
Constant:
"removed_text"
|
string
Constant:
"replaced_text"
|
|
|
|
|
|
|
object
|
|
|
|
|
string
|
string
|
null
|
string
|
null
|
meta
[optional]
object
|
string
|
|
|
|
|
{
"data": [
{
"id": "01a1b227-8ab6-7808-9e20-a6a00c9394dd",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -2,7 +2,13 @@\n The Finnish Dutch Chamber of Commerce is a unique non-profit organization for Finnish-Dutch relations with business content.\n Learn More\n UPCOMING EVENTS\n-There are no upcoming events at this time\n+[11\n+December\n+2026](https://fdcc.eu/event/fdcc-independence-day-dinner-2026/)\n+FDCC Independence Day Dinner 2026\n+18:00 - 22:00\n+The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]\n+Find out more\n OUR PATRON MEMBERS\n \")\")\n \")\")",
"company": {
"id": "016325cd-8c8b-7870-a38a-3dd1ce71e484",
"type": "company",
"domain": "fdcc.eu",
"name": "Finnish Dutch Chamber of Commerce",
"ticker": null
},
"events": [
{
"id": "01a1b229-4846-7712-aec1-8f8cbdf239ec",
"category": "attends_event",
"headline": "Hosts Independence Day Dinner 2026",
"summary": "Announced the FDCC Independence Day Dinner 2026, to be held 11 December 2026 at The College Hotel in Amsterdam.",
"added_evidence": "FDCC Independence Day Dinner 2026 The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-06T01:22:10Z"
},
{
"id": "01a1b227-8aba-71a1-9e8e-cdab8bb302e6",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -104,7 +104,7 @@\n International Collaborations\n Events\n [\n-### Where Experience Met Aspiration: Dr. Chandni Kapadia Decodes a Conversation with CA Aniket Talati on Success](events-where-experience-met-aspiration.html)\n+### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)\n [\n ### GLS University Hosts Special Episode of “Decoded with Dr. Chandni Kapadia” Featuring International Tax Expert Shri Mukesh Patel](events-shri-mukesh-patel-decoded.html)\n [\n@@ -122,11 +122,12 @@\n #### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute. This programme marks a monumental development for India’s creative media education sector.\n Read More\n-#### Dr. Ram Madhav graced the event “Shatranj”.\n-Dr. Ram Madhav faced the event “Shatranj” as the chief guest and inspired the students with his enlightening speech on “Building new India - Innovation and Creativity as Benchmark”.\n-#### GLS University Joins Forces with Leeds Beckett University for Global Bachelor’s Program\n-In order to revolutionise the global education system for international students, GLS University will establish a partnership with Leeds Beckett University (LBU) to provide bachelor's degree programmes\n-Read More\n #### GLS University and Ahmedabad School Management Association Spearhead One-Day Education Conclave on Shaping the Education Landscape\n Ahmedabad, February 27, 2024: GLS University, in collaboration with the Ahmedabad School Management Association (ASMA), successfully organised a one-day education conclave dedicated\n+#### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n+GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute.\n Read More\n+#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada\n+The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.\n+Read More\n+####",
"company": {
"id": "016325cc-c2af-70f0-94dc-b0e78c0859ab",
"type": "company",
"domain": "glsuniversity.ac.in",
"name": "GLS University",
"ticker": null
},
"events": [
{
"id": "01a1b22b-1ef9-7896-8b6e-0c1f843b2587",
"category": "attends_event",
"headline": "Hosts IGNITOR MUN 5.0",
"summary": "Hosted IGNITOR MUN 5.0, a named event focused on experiential learning, innovation and young leadership.",
"added_evidence": "### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
},
{
"id": "01a1b22b-1efa-7215-a73f-08bee197c095",
"category": "partnership",
"headline": "Signs MoU with Seneca Polytechnic",
"summary": "Signed an MoU with Seneca Polytechnic, Canada, inaugurating a global programme between the two institutions on 29 March 2025.",
"added_evidence": "#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-05T14:32:39Z"
},
{
"id": "01a1b223-1047-7195-8c0a-c820342aa8db",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,7 +1,7 @@\n We present\n our news\n-Flying Tiger Copenhagen leases nearly 300 m2 in the Mall of Berlin. Learn more ...\n-dsb Deutsche Sanierungsberatung GmbH leases office space for its new corporate headquarters at Schultheiss Quartier. Learn more ...\n+New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.\n+Activate – an interactive gaming experience at the Mall of Berlin. Learn more ...\n We love\n to develop properties\n The Name **HGHI** has always stood for professional management of large commercial properties, efficient management at the highest level, and the planning, design and realization of great visions.\n@@ -10,11 +10,13 @@\n responsible planning of projects for the environment and the social community.\n The tenants as well as the social environment will benefit from the responsible development of the newly built living and working spaces.\n Projects\n-### Potsdamer Straße 163/165\n-Learn more\n ### Mall of Berlin\n Learn more\n ### Schultheiss Quartier\n+Learn more\n+### Tegel Quartier\n+Learn more\n+### Sankt Annen Galerie\n Learn more\n We create\n sustainable added value through the development of real estate projects",
"company": {
"id": "016325c5-03ff-78a6-96dc-116911e36789",
"type": "company",
"domain": "hghi.de",
"name": "HGHI Holding",
"ticker": null
},
"events": [
{
"id": "01a1b22a-2867-7c4a-807d-2a6a486ec305",
"category": "customer_identified",
"headline": "Signs New Yorker for Mall of Berlin",
"summary": "Signed New Yorker to a 3,000 sq m store across three floors at Mall of Berlin starting September 2026.",
"added_evidence": "New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:33:24Z",
"first_seen_at": "2026-11-05T12:59:59Z"
},
{
"id": "01a1b21e-83ec-7c99-ab00-69e75a1e0e14",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,3 +1,4 @@\n+\")\n Creating new tradition - new AW26 collection\n Andersen Furniture welcomes you into a universe where the new meets the classic, and where every detail tells its own story. In our Autumn Winter 2026 collection, we explore materials in new ways – wood, metal, and stone come together in beautiful objects, where craftsmanship meets contemporary design.\n Each piece celebrates the unique and the personal. No detail is identical, as we believe it is in diversity that a home finds its character. The collection embraces variety and creates space for everyone – regardless of style, needs, or taste.\n@@ -26,6 +27,7 @@\n Each piece is carefully designed to balance aesthetics, comfort, and functionality — contributing to spaces that feel welcoming, purposeful, and timeless.\n Rooted in the moments where people gather, exchange ideas, and create connections, the collection celebrates the interaction between materials, forms, and people. The collection reflects a shared vision of creating furniture that naturally brings people together and strengthens the feeling of connection and belonging.\n Soft seating collection\n+\")\n Professionals\n We have gathered all our contract and professionals furniture and design interior to make it as easy for you as possible.\n Explore the univers here.\n@@ -34,7 +36,7 @@\n [\n ### Aw26 Collection - Creating new traditions\n AW26 collection](https://andersen-furniture.com/aw26-collection/)\n-[\n+[\")\n ### Gentle geometry - shelf collection\n Shelf collection – Gentle Geometry](https://andersen-furniture.com/shelf-collection-gentle-geometry/)\n [",
"company": {
"id": "016325b7-1fef-70ff-bf0c-e48b81848d92",
"type": "company",
"domain": "andersen-furniture.com",
"name": "Andersen Furniture A/S",
"ticker": null
},
"events": [
{
"id": "01a1b220-41bb-7914-96eb-13db559fcbad",
"category": "product_launch",
"headline": "Launches AW26 collection",
"summary": "Launched the Autumn Winter 2026 collection, featuring new furniture and soft seating pieces.",
"added_evidence": "\")",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T15:01:50Z"
},
{
"id": "01a1b21e-83f2-7b17-b681-aa2f68c73eb0",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -41,6 +41,10 @@\n News\n See all news\n [\n+18 October 2026\n+### Euca wins Boutique Development Award\n+Read More](https://centina.com.au/2026/10/euca-wins-2026-udia-sa-boutique-development-award/)\n+[\n 23 June 2026\n ### 10 Year Commendation\n Read More](https://centina.com.au/2026/06/10yr-commendation/)\n@@ -48,9 +52,5 @@\n 15 June 2026\n ### Building Women Tour\n Read More](https://centina.com.au/2026/06/building-women-tour/)\n-[\n-20 May 2026\n-### Churchill Welcomes New Entertainment Hub\n-Read More](https://centina.com.au/2026/05/churchill-welcomes-new-entertainment-hub/)\n Our Partners\n Sign up to receive the latest news",
"company": {
"id": "016325b9-0272-7db8-a008-152bb61d7f3a",
"type": "company",
"domain": "centina.com.au",
"name": "Centina",
"ticker": null
},
"events": [
{
"id": "01a1b220-41ba-79b8-9ba9-3d791cc98fd7",
"category": "recognition",
"headline": "Euca wins Boutique Development Award",
"summary": "Won the Boutique Development Award for Euca.",
"added_evidence": "### Euca wins Boutique Development Award",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T16:12:55Z"
}
],
"meta": {
"schema_version": "4.4",
"record_state": "active"
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "WebsiteChangesDataset",
"summary": "Information about meaningful changes detected on a company's website over time.\n",
"description": "PredictLeads tracks how company websites change by comparing subpage content snapshots over time.\nThe Website Changes dataset exposes detected changes, including the raw markdown\ndifference and a structured AI rationale explaining the operational or commercial significance of each change.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "WebsiteChange",
"description": "The `WebsiteChange` object.",
"type": "object",
"required": [
"id",
"type",
"markdown_difference",
"events",
"detected_at",
"first_seen_at",
"company"
],
"properties": {
"id": {
"description": "ID of the `WebsiteChange` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "website_change"
},
"markdown_difference": {
"description": "Raw textual difference between the two subpage content snapshots.",
"type": "string"
},
"events": {
"description": "Business-change events detected in this diff.",
"type": "array",
"items": {
"type": "object",
"required": [
"id",
"category",
"importance",
"added_evidence",
"removed_evidence",
"evidence_type"
],
"properties": {
"id": {
"description": "ID of the `WebsiteChange` object.",
"type": "string",
"format": "uuid"
},
"category": {
"description": "The type of business change detected.",
"oneOf": [
{
"const": "strategic_pivot",
"description": "The core value proposition or positioning changed."
},
{
"const": "audience_change",
"description": "The target audience or market focus shifted."
},
{
"const": "product_launch",
"description": "A new product/service launched, overhauled, or sunset."
},
{
"const": "pricing_restructure",
"description": "Pricing model, tiers, or plans changed."
},
{
"const": "leadership_change",
"description": "A board or C-suite/executive change."
},
{
"const": "acquisition",
"description": "The company acquired another, or was itself acquired."
},
{
"const": "merger",
"description": "Two companies combined into a single entity."
},
{
"const": "spin_off",
"description": "A business separated out of its parent into an independent company."
},
{
"const": "asset_sale",
"description": "The company sold a business, subsidiary, or other assets such as property to a buyer."
},
{
"const": "financing_event",
"description": "A funding round or financing event."
},
{
"const": "public_listing",
"description": "An IPO filing, planned stock listing, or recent public listing."
},
{
"const": "exchange_delisting",
"description": "The company's shares were delisted from a stock exchange."
},
{
"const": "partnership",
"description": "A new business partnership announced."
},
{
"const": "integration",
"description": "A new integration with a named product or platform."
},
{
"const": "investor_identified",
"description": "A named investor or backer disclosed."
},
{
"const": "customer_identified",
"description": "A new named customer or client win announced."
},
{
"const": "new_office",
"description": "A new office, facility, or location opened."
},
{
"const": "market_entry",
"description": "A new market, geography, or segment entered."
},
{
"const": "operational_restructuring",
"description": "The company closed a site, cut staff, or left a product line or market."
},
{
"const": "recognition",
"description": "An award, certification, or notable recognition."
},
{
"const": "attends_event",
"description": "The company attends, sponsors, or hosts a named industry event."
},
{
"const": "winding_down",
"description": "The company is shutting down or ceasing operations."
},
{
"const": "other",
"description": "A significant business event that fits none of the other categories."
}
]
},
"headline": {
"description": "A short human-readable summary of the event.",
"type": "string"
},
"summary": {
"description": "The headline extended with the specifics behind it, in one sentence.",
"type": "string"
},
"added_evidence": {
"description": "The cited added lines the event rests on, verbatim, joined in page order. Cited lines need not be adjacent on the page. Null when no added line was cited.",
"type": [
"string",
"null"
]
},
"removed_evidence": {
"description": "The cited removed lines the event rests on, verbatim, joined in page order. Cited lines need not be adjacent on the page. Null when no removed line was cited.",
"type": [
"string",
"null"
]
},
"evidence_type": {
"description": "Which sides of the change the evidence was taken from.",
"oneOf": [
{
"const": "added_text",
"description": "Only text added to the page in this change."
},
{
"const": "removed_text",
"description": "Only text removed from the page in this change, such as a product being sunset."
},
{
"const": "replaced_text",
"description": "Text removed from the page together with the text that replaced it."
}
]
},
"importance": {
"description": "Importance of the event, from 1 to 10. A low score is a minor change with limited business impact, a middling one a notable change worth monitoring, and a high one a significant change indicating major company activity.",
"type": "integer",
"minimum": 1,
"maximum": 10
}
}
}
},
"detected_at": {
"description": "Date & time (ISO 8601) when the change was detected, which is when the two snapshots were compared.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"first_seen_at": {
"description": "Date & time (ISO 8601) when the newer of the two snapshots was captured, which is the closest bound on when the change happened.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"company": {
"title": "Company",
"description": "The company this change is about.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
}
}
},
"meta": {
"description": "Meta information about `WebsiteChangesDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "01a1b227-8ab6-7808-9e20-a6a00c9394dd",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -2,7 +2,13 @@\n The Finnish Dutch Chamber of Commerce is a unique non-profit organization for Finnish-Dutch relations with business content.\n Learn More\n UPCOMING EVENTS\n-There are no upcoming events at this time\n+[11\n+December\n+2026](https://fdcc.eu/event/fdcc-independence-day-dinner-2026/)\n+FDCC Independence Day Dinner 2026\n+18:00 - 22:00\n+The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]\n+Find out more\n OUR PATRON MEMBERS\n \")\")\n \")\")",
"company": {
"id": "016325cd-8c8b-7870-a38a-3dd1ce71e484",
"type": "company",
"domain": "fdcc.eu",
"name": "Finnish Dutch Chamber of Commerce",
"ticker": null
},
"events": [
{
"id": "01a1b229-4846-7712-aec1-8f8cbdf239ec",
"category": "attends_event",
"headline": "Hosts Independence Day Dinner 2026",
"summary": "Announced the FDCC Independence Day Dinner 2026, to be held 11 December 2026 at The College Hotel in Amsterdam.",
"added_evidence": "FDCC Independence Day Dinner 2026 The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-06T01:22:10Z"
},
{
"id": "01a1b227-8aba-71a1-9e8e-cdab8bb302e6",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -104,7 +104,7 @@\n International Collaborations\n Events\n [\n-### Where Experience Met Aspiration: Dr. Chandni Kapadia Decodes a Conversation with CA Aniket Talati on Success](events-where-experience-met-aspiration.html)\n+### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)\n [\n ### GLS University Hosts Special Episode of “Decoded with Dr. Chandni Kapadia” Featuring International Tax Expert Shri Mukesh Patel](events-shri-mukesh-patel-decoded.html)\n [\n@@ -122,11 +122,12 @@\n #### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute. This programme marks a monumental development for India’s creative media education sector.\n Read More\n-#### Dr. Ram Madhav graced the event “Shatranj”.\n-Dr. Ram Madhav faced the event “Shatranj” as the chief guest and inspired the students with his enlightening speech on “Building new India - Innovation and Creativity as Benchmark”.\n-#### GLS University Joins Forces with Leeds Beckett University for Global Bachelor’s Program\n-In order to revolutionise the global education system for international students, GLS University will establish a partnership with Leeds Beckett University (LBU) to provide bachelor's degree programmes\n-Read More\n #### GLS University and Ahmedabad School Management Association Spearhead One-Day Education Conclave on Shaping the Education Landscape\n Ahmedabad, February 27, 2024: GLS University, in collaboration with the Ahmedabad School Management Association (ASMA), successfully organised a one-day education conclave dedicated\n+#### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n+GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute.\n Read More\n+#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada\n+The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.\n+Read More\n+####",
"company": {
"id": "016325cc-c2af-70f0-94dc-b0e78c0859ab",
"type": "company",
"domain": "glsuniversity.ac.in",
"name": "GLS University",
"ticker": null
},
"events": [
{
"id": "01a1b22b-1ef9-7896-8b6e-0c1f843b2587",
"category": "attends_event",
"headline": "Hosts IGNITOR MUN 5.0",
"summary": "Hosted IGNITOR MUN 5.0, a named event focused on experiential learning, innovation and young leadership.",
"added_evidence": "### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
},
{
"id": "01a1b22b-1efa-7215-a73f-08bee197c095",
"category": "partnership",
"headline": "Signs MoU with Seneca Polytechnic",
"summary": "Signed an MoU with Seneca Polytechnic, Canada, inaugurating a global programme between the two institutions on 29 March 2025.",
"added_evidence": "#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-05T14:32:39Z"
},
{
"id": "01a1b223-1047-7195-8c0a-c820342aa8db",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,7 +1,7 @@\n We present\n our news\n-Flying Tiger Copenhagen leases nearly 300 m2 in the Mall of Berlin. Learn more ...\n-dsb Deutsche Sanierungsberatung GmbH leases office space for its new corporate headquarters at Schultheiss Quartier. Learn more ...\n+New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.\n+Activate – an interactive gaming experience at the Mall of Berlin. Learn more ...\n We love\n to develop properties\n The Name **HGHI** has always stood for professional management of large commercial properties, efficient management at the highest level, and the planning, design and realization of great visions.\n@@ -10,11 +10,13 @@\n responsible planning of projects for the environment and the social community.\n The tenants as well as the social environment will benefit from the responsible development of the newly built living and working spaces.\n Projects\n-### Potsdamer Straße 163/165\n-Learn more\n ### Mall of Berlin\n Learn more\n ### Schultheiss Quartier\n+Learn more\n+### Tegel Quartier\n+Learn more\n+### Sankt Annen Galerie\n Learn more\n We create\n sustainable added value through the development of real estate projects",
"company": {
"id": "016325c5-03ff-78a6-96dc-116911e36789",
"type": "company",
"domain": "hghi.de",
"name": "HGHI Holding",
"ticker": null
},
"events": [
{
"id": "01a1b22a-2867-7c4a-807d-2a6a486ec305",
"category": "customer_identified",
"headline": "Signs New Yorker for Mall of Berlin",
"summary": "Signed New Yorker to a 3,000 sq m store across three floors at Mall of Berlin starting September 2026.",
"added_evidence": "New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:33:24Z",
"first_seen_at": "2026-11-05T12:59:59Z"
},
{
"id": "01a1b21e-83ec-7c99-ab00-69e75a1e0e14",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,3 +1,4 @@\n+\")\n Creating new tradition - new AW26 collection\n Andersen Furniture welcomes you into a universe where the new meets the classic, and where every detail tells its own story. In our Autumn Winter 2026 collection, we explore materials in new ways – wood, metal, and stone come together in beautiful objects, where craftsmanship meets contemporary design.\n Each piece celebrates the unique and the personal. No detail is identical, as we believe it is in diversity that a home finds its character. The collection embraces variety and creates space for everyone – regardless of style, needs, or taste.\n@@ -26,6 +27,7 @@\n Each piece is carefully designed to balance aesthetics, comfort, and functionality — contributing to spaces that feel welcoming, purposeful, and timeless.\n Rooted in the moments where people gather, exchange ideas, and create connections, the collection celebrates the interaction between materials, forms, and people. The collection reflects a shared vision of creating furniture that naturally brings people together and strengthens the feeling of connection and belonging.\n Soft seating collection\n+\")\n Professionals\n We have gathered all our contract and professionals furniture and design interior to make it as easy for you as possible.\n Explore the univers here.\n@@ -34,7 +36,7 @@\n [\n ### Aw26 Collection - Creating new traditions\n AW26 collection](https://andersen-furniture.com/aw26-collection/)\n-[\n+[\")\n ### Gentle geometry - shelf collection\n Shelf collection – Gentle Geometry](https://andersen-furniture.com/shelf-collection-gentle-geometry/)\n [",
"company": {
"id": "016325b7-1fef-70ff-bf0c-e48b81848d92",
"type": "company",
"domain": "andersen-furniture.com",
"name": "Andersen Furniture A/S",
"ticker": null
},
"events": [
{
"id": "01a1b220-41bb-7914-96eb-13db559fcbad",
"category": "product_launch",
"headline": "Launches AW26 collection",
"summary": "Launched the Autumn Winter 2026 collection, featuring new furniture and soft seating pieces.",
"added_evidence": "\")",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T15:01:50Z"
},
{
"id": "01a1b21e-83f2-7b17-b681-aa2f68c73eb0",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -41,6 +41,10 @@\n News\n See all news\n [\n+18 October 2026\n+### Euca wins Boutique Development Award\n+Read More](https://centina.com.au/2026/10/euca-wins-2026-udia-sa-boutique-development-award/)\n+[\n 23 June 2026\n ### 10 Year Commendation\n Read More](https://centina.com.au/2026/06/10yr-commendation/)\n@@ -48,9 +52,5 @@\n 15 June 2026\n ### Building Women Tour\n Read More](https://centina.com.au/2026/06/building-women-tour/)\n-[\n-20 May 2026\n-### Churchill Welcomes New Entertainment Hub\n-Read More](https://centina.com.au/2026/05/churchill-welcomes-new-entertainment-hub/)\n Our Partners\n Sign up to receive the latest news",
"company": {
"id": "016325b9-0272-7db8-a008-152bb61d7f3a",
"type": "company",
"domain": "centina.com.au",
"name": "Centina",
"ticker": null
},
"events": [
{
"id": "01a1b220-41ba-79b8-9ba9-3d791cc98fd7",
"category": "recognition",
"headline": "Euca wins Boutique Development Award",
"summary": "Won the Boutique Development Award for Euca.",
"added_evidence": "### Euca wins Boutique Development Award",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T16:12:55Z"
}
],
"meta": {
"schema_version": "4.4",
"record_state": "active"
}
}
}Since 2021, PredictLeads has detected some
709 million subpages on about
82 million websites, with the goal
to track how their websites are evolving through time.
The Subpages dataset tracks when subpages such as “about us”, “blog”, “careers”, “api docs”,
“customer support” etc. are added over time.
text_content as grounded context about a company, without having to
crawl and clean the website themselves.Property in schema:
category
Every subpage carries one category describing what the page is about, e.g. about, blog, jobs,
pricing, customers, partners, terms or privacy. The main category is the website’s home page, which
is revisited on every crawl.
object
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{
"data": [
{
"id": "0157e938-573d-777e-8813-bd7ed4ec1daf",
"type": "subpage",
"category": "about",
"url": "https://groupawheels.com/about-us",
"text_content": "About Us\n========\n\n[Home](https://groupawheels.com/)About Us\n\n[Group-A Wheels](https://groupawheels.com/)\n\nwho we *are*\n------------\n\nLocated in Lindenhurst, Long Island New York, Group-A / Autotrend is one the nation’s largest tire and wheel warehouse’s, open direct to the public. Most importantly, we are a group of enthusiasts, and we LOVE what we do!\n\nUnlike chain stores, and websites where every item is just a SKU, we pride ourselves in our depth of product and fitment knowledge. Our staff of veterans actually IS the best in the business. You will see.\n\n**In The Warehouse**\n\nOur warehouse has a large selection of tires and wheels to fit your needs AND your desires. Whether it is your car, truck, or SUV/CUV, our warehouse has the best selection of the industry’s top-quality wheel and tire brands to choose from.\n\nFounded in 1983, we have a full staff of veterans in the wheel & tire industry.\n\nPlease feel free to [call one of our tech representatives](tel:(631)%20957-3901) at any time regarding fitments for our wheels and tires regarding your car. Or better yet, if you live within the area, feel free to visit us.\n\nOur warehouse has a showroom which is open to the public, and we also have an installation center on site for our local customers.\n\n**Product Shipping**\n\nIf you do not live in the area, fear not. Our shipping department is shipping all of our products to our customers all day long from our other regional warehouses. We also provide same day shipping on all in-stock products, so our customers will receive their products as quickly as possible.\n\n**Tire & Wheel Packages**\n\nTo match your wheels, we also have a complete lineup of Tire & Wheel Packages specific for your car. Tire & Wheel Packages come mounted and dual-plane high-speed balanced on the latest mounting and balancing machines. Packages ready to be installed in the comfort of your own garage.\n\n**Your One Stop Shop**\n\nAt Group A Autotrend, we aim to become your one-stop-shop for all your premium wheel, tire, and suspension component needs. Our goal is to make the tire buying process simple, straightforward and convenient.\n\n**International Recognition**\n\nThe European market recognizes us for our specialty in Porsche, BMW, Mercedes, and Ferrari, while our unique fitments for Acura NSX, Subaru WRX, and Toyota Supra have given us notoriety in the Japanese market as well.\n\n**Complete your car with high performance suspension components**\n\nGroup A Autotrend can also complete your car’s performance with suspension components from Eibach Springs and Tokico Shocks. Please feel free to browse our extensive inventory of wheels, tires and suspension components by brand, type or vehicle make. Can’t find what you’re looking for? Pick up the phone and call one of our friendly, experienced tech representatives. We’re here to help!\n\nQuestions?\n\nIf you have any questions, or do not see something that you are looking for, please feel free to email or even call us. We would love to hear from you.\n\nCall our customer service line: 1-800-WHEEL99\n\n##### Subscribe for News and Get a Discount\n\nLoading...",
"first_seen_at": "2016-10-21T21:49:26Z",
"last_seen_at": "2025-07-25T13:55:15Z",
"last_extraction_states": [
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-16T02:29:19.788165+02:00"
}
],
"company": {
"id": "01528600-957b-760c-a127-c8b2c590bfc5",
"type": "company",
"domain": "groupawheels.com",
"name": "GroupAWheels",
"ticker": null
}
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "SubpagesDataset",
"summary": "Information on how websites are structured, what kind of subpages they have, categories of subpages\n(e.g. blog, careers, about, terms...) and **cleaned text content** from these subpages in markdown format.\n",
"description": "Since 2021, PredictLeads has detected some\n709 million subpages on about\n82 million websites, with the goal\nto track how their websites are evolving through time.\n<br><br>\nThe Subpages dataset tracks when subpages such as \"about us\", \"blog\", \"careers\", \"api docs\",\n\"customer support\" etc. are added over time.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "Subpage",
"description": "The `Subpage` object.",
"type": "object",
"required": [
"id",
"type",
"category",
"url",
"text_content",
"first_seen_at",
"last_seen_at",
"last_extraction_states",
"company"
],
"properties": {
"id": {
"description": "ID of the `Subpage` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "subpage"
},
"category": {
"description": "What the subpage is about, e.g. `about`, `blog`, `jobs` or `pricing`.",
"type": "string",
"enum": [
"blog",
"news",
"press",
"about",
"leadership",
"jobs",
"facebook",
"twitter",
"linkedin",
"instagram",
"pinterest",
"contact",
"playstore",
"appstore",
"news_outlet",
"customers",
"partners",
"integrations",
"case_studies",
"portfolio",
"suppliers",
"testimonials",
"login",
"support",
"pricing",
"job_board",
"main",
"github",
"investors",
"products",
"solutions",
"status",
"demo",
"resources",
"events",
"developers",
"api",
"terms",
"privacy",
"trust",
"feedback",
"marketplace",
"store",
"community",
"retail",
"sitemap",
"webinars",
"search",
"social_media",
"updates",
"registration",
"locations",
"external_review",
"discord",
"youtube",
"tiktok",
"sec",
"review",
"subprocessors",
"changelog"
]
},
"url": {
"description": "Subpage URL.",
"type": "string",
"format": "uri"
},
"text_content": {
"description": "Text content from the subpage in markdown format. Sentences are contextually separated with new lines (\\n). Null when no content was extracted yet.",
"type": [
"string",
"null"
]
},
"first_seen_at": {
"description": "Date & time (ISO 8601) when the `Subpage` was first seen.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"last_seen_at": {
"description": "Date & time (ISO 8601) when the `Subpage` was last seen.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"last_extraction_states": {
"description": "The outcome of the latest visits to the subpage, oldest first.",
"type": "array",
"items": {
"title": "LastExtractionState",
"description": "The outcome of one visit to the subpage.",
"type": "object",
"required": [
"status",
"status_code",
"processed_at"
],
"properties": {
"status": {
"description": "Extraction status, e.g. `live` when the page answered.",
"type": "string"
},
"status_code": {
"description": "HTTP response status code, null when the request got no response.",
"type": [
"integer",
"null"
]
},
"processed_at": {
"description": "Date & time (ISO 8601) when the subpage was visited.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
}
}
}
},
"company": {
"title": "Company",
"description": "The company this subpage belongs to.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
}
}
},
"meta": {
"description": "Meta information about `SubpagesDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "0157e938-573d-777e-8813-bd7ed4ec1daf",
"type": "subpage",
"category": "about",
"url": "https://groupawheels.com/about-us",
"text_content": "About Us\n========\n\n[Home](https://groupawheels.com/)About Us\n\n[Group-A Wheels](https://groupawheels.com/)\n\nwho we *are*\n------------\n\nLocated in Lindenhurst, Long Island New York, Group-A / Autotrend is one the nation’s largest tire and wheel warehouse’s, open direct to the public. Most importantly, we are a group of enthusiasts, and we LOVE what we do!\n\nUnlike chain stores, and websites where every item is just a SKU, we pride ourselves in our depth of product and fitment knowledge. Our staff of veterans actually IS the best in the business. You will see.\n\n**In The Warehouse**\n\nOur warehouse has a large selection of tires and wheels to fit your needs AND your desires. Whether it is your car, truck, or SUV/CUV, our warehouse has the best selection of the industry’s top-quality wheel and tire brands to choose from.\n\nFounded in 1983, we have a full staff of veterans in the wheel & tire industry.\n\nPlease feel free to [call one of our tech representatives](tel:(631)%20957-3901) at any time regarding fitments for our wheels and tires regarding your car. Or better yet, if you live within the area, feel free to visit us.\n\nOur warehouse has a showroom which is open to the public, and we also have an installation center on site for our local customers.\n\n**Product Shipping**\n\nIf you do not live in the area, fear not. Our shipping department is shipping all of our products to our customers all day long from our other regional warehouses. We also provide same day shipping on all in-stock products, so our customers will receive their products as quickly as possible.\n\n**Tire & Wheel Packages**\n\nTo match your wheels, we also have a complete lineup of Tire & Wheel Packages specific for your car. Tire & Wheel Packages come mounted and dual-plane high-speed balanced on the latest mounting and balancing machines. Packages ready to be installed in the comfort of your own garage.\n\n**Your One Stop Shop**\n\nAt Group A Autotrend, we aim to become your one-stop-shop for all your premium wheel, tire, and suspension component needs. Our goal is to make the tire buying process simple, straightforward and convenient.\n\n**International Recognition**\n\nThe European market recognizes us for our specialty in Porsche, BMW, Mercedes, and Ferrari, while our unique fitments for Acura NSX, Subaru WRX, and Toyota Supra have given us notoriety in the Japanese market as well.\n\n**Complete your car with high performance suspension components**\n\nGroup A Autotrend can also complete your car’s performance with suspension components from Eibach Springs and Tokico Shocks. Please feel free to browse our extensive inventory of wheels, tires and suspension components by brand, type or vehicle make. Can’t find what you’re looking for? Pick up the phone and call one of our friendly, experienced tech representatives. We’re here to help!\n\nQuestions?\n\nIf you have any questions, or do not see something that you are looking for, please feel free to email or even call us. We would love to hear from you.\n\nCall our customer service line: 1-800-WHEEL99\n\n##### Subscribe for News and Get a Discount\n\nLoading...",
"first_seen_at": "2016-10-21T21:49:26Z",
"last_seen_at": "2025-07-25T13:55:15Z",
"last_extraction_states": [
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-16T02:29:19.788165+02:00"
}
],
"company": {
"id": "01528600-957b-760c-a127-c8b2c590bfc5",
"type": "company",
"domain": "groupawheels.com",
"name": "GroupAWheels",
"ticker": null
}
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}
}One record per annual (10-K, 20-F, 40-F) or quarterly (10-Q) SEC filing, with the figures
for the period it reports on. The same filing is served as a document by the
SEC Filings
dataset, under the same id.
A record is one periodic filing, and the figures it carries are the ones for that filing’s own period: a
quarter for a 10-Q, a fiscal year for a 10-K, 20-F or 40-F. A filing that reports a quarter also
republishes the year to date and the periods before it; neither is served here.
Property in schema:
income_statement
object
|
array
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object
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object
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number
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null
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number
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null
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number
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null
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meta
[optional]
object
|
string
|
|
|
|
|
{
"data": [
{
"id": "019d979d-32e5-7697-b63c-7b3832a364cf",
"type": "sec_financial",
"form_type": "10-K",
"filed_at": "2025-07-30",
"report_date": "2025-06-30",
"source_url": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
"company": {
"id": "01535453-2122-71a8-997d-04d3e7cc76ed",
"type": "company",
"domain": "microsoft.com",
"name": "Microsoft Corp.",
"ticker": "NASDAQ:MSFT"
},
"income_statement": {
"period_type": "annual",
"period_start_date": "2024-07-01",
"period_end_date": "2025-06-30",
"revenue": 281724000000.0,
"cost_of_revenue": 87831000000.0,
"gross_profit": 193893000000.0,
"operating_income": 128528000000.0,
"net_income": 101832000000.0
}
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "SECFinancialsDataset",
"summary": "The income statement a public company reported on each of its periodic SEC filings.\n",
"description": "One record per annual (`10-K`, `20-F`, `40-F`) or quarterly (`10-Q`) SEC filing, with the figures\nfor the period it reports on. The same filing is served as a document by the\n<a href=\"https://docs.predictleads.com/guide/sec_filings_dataset\">SEC Filings</a>\ndataset, under the same `id`.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "SECFinancial",
"description": "The `SECFinancial` object.",
"type": "object",
"required": [
"id",
"type",
"form_type",
"filed_at",
"report_date",
"source_url",
"company",
"income_statement"
],
"properties": {
"id": {
"description": "ID of the `SECFinancial` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "sec_financial"
},
"form_type": {
"description": "Type of SEC form the figures were reported on.",
"type": "string",
"enum": [
"10-K",
"20-F",
"40-F",
"10-Q"
]
},
"filed_at": {
"description": "Date (ISO 8601) the filing was submitted to the SEC on.",
"type": "string",
"format": "date",
"example": "2024-09-25"
},
"report_date": {
"description": "Date (ISO 8601) the filing reports on, which is the end of the period it covers. Null when EDGAR reports the filing without one.",
"type": [
"string",
"null"
],
"format": "date",
"example": "2024-09-25"
},
"source_url": {
"description": "URL to the primary filing document on SEC EDGAR.",
"type": "string",
"format": "uri"
},
"company": {
"title": "Company",
"description": "The company that filed these figures.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"income_statement": {
"title": "IncomeStatement",
"description": "What the company earned over the period this filing reports on, in whole US dollars. Null when no figures are available for that period.",
"type": [
"object",
"null"
],
"required": [
"period_type",
"period_start_date",
"period_end_date",
"revenue",
"cost_of_revenue",
"gross_profit",
"operating_income",
"net_income"
],
"properties": {
"period_type": {
"description": "The duration these figures cover. A `10-Q` reports a quarter; a `10-K`, `20-F` or `40-F` reports a fiscal year.",
"type": "string",
"enum": [
"annual",
"quarterly"
]
},
"period_start_date": {
"description": "Date (ISO 8601) the period starts on.",
"type": "string",
"format": "date",
"example": "2024-09-25"
},
"period_end_date": {
"description": "Date (ISO 8601) the period ends on.",
"type": "string",
"format": "date",
"example": "2024-09-25"
},
"revenue": {
"description": "Total revenue the company earned over the period. For a bank, its interest and dividend income plus its non-interest income, before interest expense.",
"type": [
"number",
"null"
]
},
"cost_of_revenue": {
"description": "What producing that revenue cost.",
"type": [
"number",
"null"
]
},
"gross_profit": {
"description": "Revenue less the cost of revenue.",
"type": [
"number",
"null"
]
},
"operating_income": {
"description": "What the company earned from its operations, before tax. For an investment company, its net investment income.",
"type": [
"number",
"null"
]
},
"net_income": {
"description": "What the company earned after every cost, interest and tax.",
"type": [
"number",
"null"
]
}
}
}
}
}
},
"meta": {
"description": "Meta information about `SECFinancialsDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "019d979d-32e5-7697-b63c-7b3832a364cf",
"type": "sec_financial",
"form_type": "10-K",
"filed_at": "2025-07-30",
"report_date": "2025-06-30",
"source_url": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
"company": {
"id": "01535453-2122-71a8-997d-04d3e7cc76ed",
"type": "company",
"domain": "microsoft.com",
"name": "Microsoft Corp.",
"ticker": "NASDAQ:MSFT"
},
"income_statement": {
"period_type": "annual",
"period_start_date": "2024-07-01",
"period_end_date": "2025-06-30",
"revenue": 281724000000.0,
"cost_of_revenue": 87831000000.0,
"gross_profit": 193893000000.0,
"operating_income": 128528000000.0,
"net_income": 101832000000.0
}
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}
}Provides a paginated list of API request log entries made by the current subscription.
object
|
array
|
object
|
|
|
|
|
|
|
object
|
string
|
integer
|
integer
|
null
|
number
|
null
|
|
|
meta
[optional]
object
|
string
|
|
|
|
|
{
"data": [
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"type": "api_request_log",
"requested_at": "2024-09-25T16:09:53Z",
"request_params": {
"id_or_domain": "stripe.com"
},
"request_path": "/api/v4/companies/stripe.com",
"response_code": 200,
"credits_used": 1,
"duration": 45.2
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active",
"count": 1
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "ApiRequestLogs",
"description": "Provides a paginated list of API request log entries made by the current subscription.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "ApiRequestLog",
"description": "The `ApiRequestLog` object.",
"type": "object",
"required": [
"id",
"type",
"requested_at",
"request_params",
"request_path",
"response_code",
"credits_used",
"duration",
"source"
],
"properties": {
"id": {
"description": "ID of the `ApiRequestLog` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "api_request_log"
},
"requested_at": {
"description": "Date & time (ISO 8601) when the request was made.",
"type": "string",
"format": "date-time"
},
"request_params": {
"description": "Query parameters included in the request, excluding internal fields such as `api_key` and `api_token`.",
"type": "object"
},
"request_path": {
"description": "Path of the API endpoint that was called.",
"type": "string"
},
"response_code": {
"description": "HTTP response status code returned for the request.",
"type": "integer"
},
"credits_used": {
"description": "Number of credits consumed by the request.",
"type": [
"integer",
"null"
]
},
"duration": {
"description": "Total request processing time in milliseconds.",
"type": [
"number",
"null"
]
},
"source": {
"description": "Surface the request originated from.",
"enum": [
"direct",
"playground",
"mcp",
"mcp_transport",
"zeroclick",
null
]
}
}
}
},
"meta": {
"description": "Meta information about `ApiRequestLogs` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"type": "api_request_log",
"requested_at": "2024-09-25T16:09:53Z",
"request_params": {
"id_or_domain": "stripe.com"
},
"request_path": "/api/v4/companies/stripe.com",
"response_code": 200,
"credits_used": 1,
"duration": 45.2
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active",
"count": 1
}
}
}Our API is RESTful and follows the JSON API specification.
For easier implementation, we provide API description also in
OpenAPI schema (version 3.1.0) JSON format
and OpenAPI SwaggerUI playground.
In order to use our API, you must first sign up
to get an authentication key and token.
You can see live status of our API services.
https://predictleads.com/api/v4The API supports two authentication methods. Your API key and token are available on the Your Subscription Plans page.
PredictLeads supports two OAuth2 flows.
Access Token URL: https://oauth.predictleads.com/token
Client ID: {your_api_key}
Client Secret: {your_api_token}For direct access, pass your credentials as request headers:
X-Api-Key: {your_api_key}
X-Api-Token: {your_api_token}
Each account using the API has request limits implemented.
The amount of requests one can do each month is limited by the chosen plan. You can track your monthly usage on
Your Subscription Plans page.
Responses carry an X-Credits-Used header, and MCP tool results include a credits_used field, with the credits
that request used. Requests rejected before reaching your account (401, 403 and 429) do not include it.
Once the account reaches the limit, all further requests will produce a 402 HTTP error, notifying the user of
the reached limit. If you have any further questions regarding the limits, feel free to contact us via
support.
Responses with a list of objects are paginated. Use page parameter to get more results.
Total number of all possible results is displayed inside meta property as count.
Returns Company.
GET
https://predictleads.com/api/v4/companies/{id_or_domain}
| Path Parameters | |||
string
|
|||
curl --request GET \
--url https://predictleads.com/api/v4/companies/{id_or_domain} \
--header 'X-Api-Key: {your_api_key}' --header 'X-Api-Token: {your_api_token}'import http.client
conn = http.client.HTTPSConnection("predictleads.com")
headers = {'X-Api-Key': "{your_api_key}", 'X-Api-Token': "{your_api_token}"}
conn.request("GET", "/api/v4/companies/{id_or_domain}", headers=headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))Request was successfully processed.
{
"data": [
{
"id": "0160c0f9-78d8-7274-9faa-a37a5d7f1ab6",
"type": "company",
"domain": "brex.com",
"name": "Brex Inc.",
"friendly_name": "Brex",
"ticker": null,
"meta_title": "Brex: The Modern Finance Software Platform | Spend Smarter",
"meta_description": "Simplify expense management with Brex's finance platform. From company cards to banking, Brex helps you drive growth, automate processes, & earn more.",
"description": "Brex provides a finance platform that includes corporate charge cards, cash management accounts, and tools for expense and travel management. The organization serves founders and finance teams, specifically targeting technology companies. Operating globally across many countries, the organization focuses on automating accounting processes and managing business spending through integrated banking and credit services.",
"description_short": "Brex is a business financial services provider that serves founders and finance teams.",
"language": "en",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"location_data": [
{
"id": "01a1369f-e0b2-7425-9f8b-6d9cc200dba6",
"type": "company_location_data",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"zip_code": "94114",
"street_address": "2261 Market Street",
"city": "San Francisco",
"county": "San Francisco County",
"admin_area": "California",
"state": "California",
"country": "United States",
"continent": "North America",
"latitude": 37.764685,
"longitude": -122.43194,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-760c-adec-7c95d8e27f1e",
"type": "company_location_data",
"location": "50 W Broadway, Salt Lake City, UT 84101, United States",
"zip_code": "84119",
"street_address": null,
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.773201,
"longitude": -111.933984,
"fuzzy_match": true,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-78dd-a946-ce2364bb27e8",
"type": "company_location_data",
"location": "650 S 500 W, Salt Lake City, UT 84101-2380, United States",
"zip_code": "84101",
"street_address": "650 South 500 West",
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.755136,
"longitude": -111.905691,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-73de-b25c-ecdb1c53f68e",
"type": "company_location_data",
"location": "1 Commerce Way, Little Rock, Arkansas 72202, United States",
"zip_code": "72202",
"street_address": "1 Commerce Way",
"city": "Little Rock",
"county": "Pulaski County",
"admin_area": "Arkansas",
"state": "Arkansas",
"country": "United States",
"continent": "North America",
"latitude": 34.764932,
"longitude": -92.302579,
"fuzzy_match": false,
"category": "office"
},
{
"id": "01a1369f-e0b2-7093-99c2-dbb6c7dd96b6",
"type": "company_location_data",
"location": "Austin, Texas, United States",
"zip_code": "78701",
"street_address": null,
"city": "Austin",
"county": "Travis County",
"admin_area": "Texas",
"state": "Texas",
"country": "United States",
"continent": "North America",
"latitude": 30.222346,
"longitude": -97.836521,
"fuzzy_match": true,
"category": "office"
},
{
"id": "01a1369f-e0b2-7cbc-bc7d-ab5e685f560d",
"type": "company_location_data",
"location": "District of Columbia, United States",
"zip_code": null,
"street_address": null,
"city": null,
"county": null,
"admin_area": "District of Columbia",
"state": "District of Columbia",
"country": "United States",
"continent": "North America",
"latitude": 38.912097,
"longitude": -77.014683,
"fuzzy_match": true,
"category": "service_area"
},
{
"id": "01a1369f-e0b2-7565-8ab7-3084cfbebbd9",
"type": "company_location_data",
"location": "New York, United States",
"zip_code": "11238",
"street_address": null,
"city": "New York",
"county": "Kings County",
"admin_area": "New York",
"state": "New York",
"country": "United States",
"continent": "North America",
"latitude": 40.68295,
"longitude": -73.9708,
"fuzzy_match": false,
"category": "service_area"
},
{
"id": "01a1369f-e0b2-7a3f-832f-ace75d815801",
"type": "company_location_data",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"zip_code": "94114",
"street_address": "2261 Market Street",
"city": "San Francisco",
"county": "San Francisco County",
"admin_area": "California",
"state": "California",
"country": "United States",
"continent": "North America",
"latitude": 37.764685,
"longitude": -122.43194,
"fuzzy_match": false,
"category": "registered_address"
},
{
"id": "01a1369f-e0b2-7fd3-a049-c6b46116bcaf",
"type": "company_location_data",
"location": "650 S 500 W, Salt Lake City, UT 84101, United States",
"zip_code": "84101",
"street_address": "650 South 500 West",
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.755136,
"longitude": -111.905691,
"fuzzy_match": false,
"category": "registered_address"
}
],
"last_extraction_states": [
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-14T20:29:21.268003+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-22T02:21:08.710900+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-09-01T02:39:38.301223+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-09-11T03:07:01.653616+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-09T12:40:12.884940+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-25T23:48:53.904399+01:00"
}
],
"redirects_to_company": null,
"redirects_to_company_reason": null,
"parent_company": {
"id": "015353a8-fd39-7e43-80fa-f874553b771a",
"type": "company",
"domain": "capitalone.com",
"name": "Capital One Group",
"ticker": "NYSE:COF-PN"
},
"subsidiary_companies": [
{
"id": "017228dc-076b-7596-b07e-faefc8752ef8",
"type": "company",
"domain": "pry.co",
"name": "Pry Financials Inc.",
"ticker": null
},
{
"id": "01776f82-37b5-7adb-add2-7f810abe4689",
"type": "company",
"domain": "weav.co",
"name": "Weav Technologies, Inc.",
"ticker": null
}
],
"similar_companies": [
{
"id": "014ef54b-b9bc-7859-bf70-fda144d0a69b",
"type": "company",
"domain": "ramp.com",
"name": "Ramp Corp.",
"ticker": null
},
{
"id": "0163f658-c47e-732b-a6fa-b8cb036cb5b3",
"type": "company",
"domain": "airbase.com",
"name": "Airbase Inc.",
"ticker": null
},
{
"id": "015353e7-03d5-7433-944a-c58b78378b79",
"type": "company",
"domain": "expensify.com",
"name": "Expensify, Inc.",
"ticker": "NASDAQ:EXFY"
},
{
"id": "01862da7-1a0e-7508-ad04-8edc8fee5e5e",
"type": "company",
"domain": "navan.com",
"name": "Navan, Inc.",
"ticker": "NASDAQ:NAVN"
},
{
"id": "016187f1-7688-7d3e-8e5c-86eebb5b0a37",
"type": "company",
"domain": "mercury.com",
"name": "Mercury Technologies, Inc.",
"ticker": null
}
]
}
],
"meta": {
"schema_version": "4.1",
"record_state": "active"
}
}Invalid request body or parameters.
{
"error": {
"type": "bad_request",
"message": "..."
}
}Authentication credentials are invalid or API subscription is not activated.
{
"error": {
"type": "unauthorized",
"message": "..."
}
}Exceeded the monthly request limit.
{
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}Request rate over limit.
{
"error": {
"type": "forbidden",
"message": "..."
}
}Record not found.
{
"error": {
"type": "not_found",
"message": "..."
}
}Provided data failed to validate.
{
"error": {
"type": "unprocessable_content",
"message": "..."
}
}Too many requests.
{
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}Internal server error.
{
"error": {
"type": "internal_server_error",
"message": "..."
}
}Service temporarily unavailable.
{
"error": {
"type": "service_unavailable",
"message": "..."
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "CompaniesDataset",
"summary": "Information about companies.\n",
"description": "Companies Dataset includes data such as Company Name, Meta Title, Meta Description,\nStructured Location Data, Ticker, Parent Company, Language and other basic company information.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "Company",
"description": "The `Company` object.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker",
"friendly_name",
"meta_title",
"meta_description",
"description",
"description_short",
"language",
"location",
"location_data",
"last_extraction_states",
"redirects_to_company",
"redirects_to_company_reason",
"parent_company",
"subsidiary_companies",
"similar_companies"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
},
"friendly_name": {
"description": "Company friendly name.",
"type": [
"string",
"null"
]
},
"meta_title": {
"description": "Company website's meta title.",
"type": [
"string",
"null"
]
},
"meta_description": {
"description": "Company website's meta description.",
"type": [
"string",
"null"
]
},
"description": {
"description": "Translated and summarized description.",
"type": [
"string",
"null"
]
},
"description_short": {
"description": "Short version of the translated and summarized description.",
"type": [
"string",
"null"
]
},
"language": {
"description": "`Company` website's language.",
"type": [
"string",
"null"
]
},
"location": {
"description": "`Company` location.\n<br>\n**NOTE**: It is built from the `location_data` attributes if present.\n",
"example": "Menlo Park, California, 94025, United States, Northern America, Americas",
"type": [
"string",
"null"
]
},
"location_data": {
"description": "**NOTE**: Currently contains at most one object.",
"type": "array",
"items": {
"title": "CompanyLocationData",
"description": "The `CompanyLocationData` object.",
"example": {
"id": "0196e906-3aab-716c-b14b-9cc5f2778291",
"type": "company_location_data",
"location": "4145 SW Watson Ave, Beaverton, Oregon 97005, United States",
"zip_code": "97005",
"street_address": "4145 SW Watson Ave",
"city": "Beaverton",
"county": "Washington County",
"admin_area": "Oregon",
"state": "Oregon",
"country": "United States",
"continent": "North America",
"latitude": 45.489652,
"longitude": -122.806691,
"fuzzy_match": false,
"category": "headquarters"
},
"type": "object",
"required": [
"id",
"type",
"location",
"zip_code",
"street_address",
"city",
"county",
"admin_area",
"state",
"country",
"continent",
"latitude",
"longitude",
"fuzzy_match",
"category"
],
"properties": {
"id": {
"description": "ID of the `CompanyLocationData` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "Type of the `CompanyLocationData` object.",
"const": "company_location_data"
},
"location": {
"description": "Location as a string.",
"example": "4145 SW Watson Ave, Beaverton, Oregon 97005, United States",
"type": "string"
},
"zip_code": {
"description": "ZIP code of the location.",
"example": "97005",
"type": [
"string",
"null"
]
},
"street_address": {
"description": "Street address of the location.",
"example": "4145 SW Watson Ave",
"type": [
"string",
"null"
]
},
"city": {
"description": "City of the location.",
"example": "Beaverton",
"type": [
"string",
"null"
]
},
"county": {
"description": "County of the location.",
"example": "Washington County",
"type": [
"string",
"null"
]
},
"admin_area": {
"description": "Administrative area of the location.",
"example": "Oregon",
"type": [
"string",
"null"
]
},
"state": {
"description": "State of the location.",
"example": "Oregon",
"type": [
"string",
"null"
]
},
"country": {
"description": "Country of the location.",
"example": "United States",
"type": [
"string",
"null"
]
},
"continent": {
"description": "Continent of the location.",
"example": "North America",
"type": [
"string",
"null"
]
},
"latitude": {
"description": "Latitude coordinate of the location.",
"example": 45.489652,
"type": [
"number",
"null"
]
},
"longitude": {
"description": "Longitude coordinate of the location.",
"example": -122.806691,
"type": [
"number",
"null"
]
},
"fuzzy_match": {
"description": "`true` indicates that location data may not have been extracted accurately.\n<br>\n`false` indicates that location data has been extracted correctly.\n",
"type": "boolean",
"example": false
},
"category": {
"description": "Location category.",
"example": "headquarters",
"type": "string",
"enum": [
"headquarters",
"office",
"retail",
"facility",
"service_area",
"registered_address",
"unknown"
]
}
}
}
},
"last_extraction_states": {
"description": "Extraction states of the company website's main subpage.",
"type": "array",
"items": {
"type": "object",
"required": [
"status",
"status_code",
"processed_at"
],
"properties": {
"status": {
"description": "Extraction status.",
"type": "string"
},
"status_code": {
"description": "HTTP response status code.",
"type": [
"integer",
"null"
]
},
"processed_at": {
"description": "Date & time (ISO 8601) of when the `Company` was last processed.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
}
}
}
},
"redirects_to_company": {
"title": "Company",
"description": "The company this company's domain redirects to.",
"type": [
"object",
"null"
],
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"redirects_to_company_reason": {
"description": "Reason of the redirect.",
"type": [
"string",
"null"
],
"enum": [
"acquisition_merger",
"locality",
"rebranding",
null
]
},
"parent_company": {
"title": "Company",
"description": "The company's parent company.",
"type": [
"object",
"null"
],
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"subsidiary_companies": {
"description": "The company's subsidiary companies.",
"type": "array",
"items": {
"title": "Company",
"description": "A subsidiary company of this company.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
},
"similar_companies": {
"description": "Companies similar to this company. Up to 5 are returned.",
"type": "array",
"items": {
"title": "Company",
"description": "A company similar to this company.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
}
}
}
},
"meta": {
"description": "Meta information about `CompaniesDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "0160c0f9-78d8-7274-9faa-a37a5d7f1ab6",
"type": "company",
"domain": "brex.com",
"name": "Brex Inc.",
"friendly_name": "Brex",
"ticker": null,
"meta_title": "Brex: The Modern Finance Software Platform | Spend Smarter",
"meta_description": "Simplify expense management with Brex's finance platform. From company cards to banking, Brex helps you drive growth, automate processes, & earn more.",
"description": "Brex provides a finance platform that includes corporate charge cards, cash management accounts, and tools for expense and travel management. The organization serves founders and finance teams, specifically targeting technology companies. Operating globally across many countries, the organization focuses on automating accounting processes and managing business spending through integrated banking and credit services.",
"description_short": "Brex is a business financial services provider that serves founders and finance teams.",
"language": "en",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"location_data": [
{
"id": "01a1369f-e0b2-7425-9f8b-6d9cc200dba6",
"type": "company_location_data",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"zip_code": "94114",
"street_address": "2261 Market Street",
"city": "San Francisco",
"county": "San Francisco County",
"admin_area": "California",
"state": "California",
"country": "United States",
"continent": "North America",
"latitude": 37.764685,
"longitude": -122.43194,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-760c-adec-7c95d8e27f1e",
"type": "company_location_data",
"location": "50 W Broadway, Salt Lake City, UT 84101, United States",
"zip_code": "84119",
"street_address": null,
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.773201,
"longitude": -111.933984,
"fuzzy_match": true,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-78dd-a946-ce2364bb27e8",
"type": "company_location_data",
"location": "650 S 500 W, Salt Lake City, UT 84101-2380, United States",
"zip_code": "84101",
"street_address": "650 South 500 West",
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.755136,
"longitude": -111.905691,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a1369f-e0b2-73de-b25c-ecdb1c53f68e",
"type": "company_location_data",
"location": "1 Commerce Way, Little Rock, Arkansas 72202, United States",
"zip_code": "72202",
"street_address": "1 Commerce Way",
"city": "Little Rock",
"county": "Pulaski County",
"admin_area": "Arkansas",
"state": "Arkansas",
"country": "United States",
"continent": "North America",
"latitude": 34.764932,
"longitude": -92.302579,
"fuzzy_match": false,
"category": "office"
},
{
"id": "01a1369f-e0b2-7093-99c2-dbb6c7dd96b6",
"type": "company_location_data",
"location": "Austin, Texas, United States",
"zip_code": "78701",
"street_address": null,
"city": "Austin",
"county": "Travis County",
"admin_area": "Texas",
"state": "Texas",
"country": "United States",
"continent": "North America",
"latitude": 30.222346,
"longitude": -97.836521,
"fuzzy_match": true,
"category": "office"
},
{
"id": "01a1369f-e0b2-7cbc-bc7d-ab5e685f560d",
"type": "company_location_data",
"location": "District of Columbia, United States",
"zip_code": null,
"street_address": null,
"city": null,
"county": null,
"admin_area": "District of Columbia",
"state": "District of Columbia",
"country": "United States",
"continent": "North America",
"latitude": 38.912097,
"longitude": -77.014683,
"fuzzy_match": true,
"category": "service_area"
},
{
"id": "01a1369f-e0b2-7565-8ab7-3084cfbebbd9",
"type": "company_location_data",
"location": "New York, United States",
"zip_code": "11238",
"street_address": null,
"city": "New York",
"county": "Kings County",
"admin_area": "New York",
"state": "New York",
"country": "United States",
"continent": "North America",
"latitude": 40.68295,
"longitude": -73.9708,
"fuzzy_match": false,
"category": "service_area"
},
{
"id": "01a1369f-e0b2-7a3f-832f-ace75d815801",
"type": "company_location_data",
"location": "2261 Market Street, San Francisco, CA 94114, United States",
"zip_code": "94114",
"street_address": "2261 Market Street",
"city": "San Francisco",
"county": "San Francisco County",
"admin_area": "California",
"state": "California",
"country": "United States",
"continent": "North America",
"latitude": 37.764685,
"longitude": -122.43194,
"fuzzy_match": false,
"category": "registered_address"
},
{
"id": "01a1369f-e0b2-7fd3-a049-c6b46116bcaf",
"type": "company_location_data",
"location": "650 S 500 W, Salt Lake City, UT 84101, United States",
"zip_code": "84101",
"street_address": "650 South 500 West",
"city": "Salt Lake City",
"county": "Salt Lake County",
"admin_area": "Utah",
"state": "Utah",
"country": "United States",
"continent": "North America",
"latitude": 40.755136,
"longitude": -111.905691,
"fuzzy_match": false,
"category": "registered_address"
}
],
"last_extraction_states": [
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-14T20:29:21.268003+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-22T02:21:08.710900+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-09-01T02:39:38.301223+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-09-11T03:07:01.653616+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-09T12:40:12.884940+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-25T23:48:53.904399+01:00"
}
],
"redirects_to_company": null,
"redirects_to_company_reason": null,
"parent_company": {
"id": "015353a8-fd39-7e43-80fa-f874553b771a",
"type": "company",
"domain": "capitalone.com",
"name": "Capital One Group",
"ticker": "NYSE:COF-PN"
},
"subsidiary_companies": [
{
"id": "017228dc-076b-7596-b07e-faefc8752ef8",
"type": "company",
"domain": "pry.co",
"name": "Pry Financials Inc.",
"ticker": null
},
{
"id": "01776f82-37b5-7adb-add2-7f810abe4689",
"type": "company",
"domain": "weav.co",
"name": "Weav Technologies, Inc.",
"ticker": null
}
],
"similar_companies": [
{
"id": "014ef54b-b9bc-7859-bf70-fda144d0a69b",
"type": "company",
"domain": "ramp.com",
"name": "Ramp Corp.",
"ticker": null
},
{
"id": "0163f658-c47e-732b-a6fa-b8cb036cb5b3",
"type": "company",
"domain": "airbase.com",
"name": "Airbase Inc.",
"ticker": null
},
{
"id": "015353e7-03d5-7433-944a-c58b78378b79",
"type": "company",
"domain": "expensify.com",
"name": "Expensify, Inc.",
"ticker": "NASDAQ:EXFY"
},
{
"id": "01862da7-1a0e-7508-ad04-8edc8fee5e5e",
"type": "company",
"domain": "navan.com",
"name": "Navan, Inc.",
"ticker": "NASDAQ:NAVN"
},
{
"id": "016187f1-7688-7d3e-8e5c-86eebb5b0a37",
"type": "company",
"domain": "mercury.com",
"name": "Mercury Technologies, Inc.",
"ticker": null
}
]
}
],
"meta": {
"schema_version": "4.1",
"record_state": "active"
}
}
}{
"description": "Bad request.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `BadRequestError` object.",
"const": "bad_request"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "bad_request",
"message": "..."
}
}
}{
"description": "Unauthorized.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnauthorizedError` object.",
"const": "unauthorized"
},
"message": {
"description": "Error message.",
"type": "string",
"const": "Authentication failed"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unauthorized",
"message": "..."
}
}
}{
"description": "Payment required.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `PaymentRequiredError` object.",
"const": "payment_required"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}
}{
"description": "Forbidden.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ForbiddenError` object.",
"const": "forbidden"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "forbidden",
"message": "..."
}
}
}{
"description": "Not found.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `NotFoundError` object.",
"const": "not_found"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "not_found",
"message": "..."
}
}
}{
"description": "Unprocessable content.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnprocessableContentError` object.",
"const": "unprocessable_content"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unprocessable_content",
"message": "..."
}
}
}{
"description": "Too many requests.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `TooManyRequestsError` object.",
"const": "too_many_requests"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}
}{
"description": "Internal server error.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `InternalServerError` object.",
"const": "internal_server_error"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "internal_server_error",
"message": "..."
}
}
}{
"description": "Service unavailable.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ServiceUnavailableError` object.",
"const": "service_unavailable"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "service_unavailable",
"message": "..."
}
}
}Returns Extended Company.
GET
https://predictleads.com/api/v4/extended_companies/{id_or_domain}
| Path Parameters | |||
string
|
|||
curl --request GET \
--url https://predictleads.com/api/v4/extended_companies/{id_or_domain} \
--header 'X-Api-Key: {your_api_key}' --header 'X-Api-Token: {your_api_token}'import http.client
conn = http.client.HTTPSConnection("predictleads.com")
headers = {'X-Api-Key': "{your_api_key}", 'X-Api-Token': "{your_api_token}"}
conn.request("GET", "/api/v4/extended_companies/{id_or_domain}", headers=headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))Request was successfully processed.
{
"data": [
{
"id": "0164245a-5850-76aa-ba63-f947a5904cbb",
"type": "company",
"domain": "meettippy.com",
"name": "DirectTIPS Operations, LLC.",
"friendly_name": "Tippy",
"ticker": null,
"meta_title": "Homepage - Tippy",
"meta_description": "We are tipping experts with optimized solutions for Salons & Spas. Groomers. Fitness. Auto Shops. Your Business. Let us find the best tipping solution for you! Enter your email to get started! Yay Tippy! Winners for Best Work Spaces, Best of Fort Lauderdale 2022! Thank you Fort Lauderdale Magazine and",
"description": "Tippy provides digital tipping solutions designed for service-based businesses, including salons, spas, grooming facilities, fitness centers, and auto shops. The organization facilitates the collection of gratuities and manages instant payouts to service professionals. To support these operations, the organization integrates with point-of-sale systems and provides standalone kiosks to handle the processing of tips.",
"description_short": "Tippy provides digital tipping solutions for service-based businesses such as salons, spas, grooming facilities, fitness centers, and auto shops.",
"language": "en",
"location": "2755 E Oakland Park Blvd, Fort Lauderdale, Florida 33306, United States",
"location_data": [
{
"id": "01a0b033-9b07-76c1-9add-771c1429f0be",
"type": "company_location_data",
"location": "2755 E Oakland Park Blvd, Fort Lauderdale, Florida 33306, United States",
"zip_code": "33306",
"street_address": "2755 East Oakland Park Boulevard",
"city": "Fort Lauderdale",
"county": "Broward County",
"admin_area": "Florida",
"state": "Florida",
"country": "United States",
"continent": "North America",
"latitude": 26.16749,
"longitude": -80.11004,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a0b033-9b07-7de9-b86c-11b73e76fc12",
"type": "company_location_data",
"location": "935 Berkshire Blvd, Reading, Pennsylvania 19610, United States",
"zip_code": "19606",
"street_address": null,
"city": "Reading",
"county": "Berks County",
"admin_area": "Pennsylvania",
"state": "Pennsylvania",
"country": "United States",
"continent": "North America",
"latitude": 40.346978,
"longitude": -75.924261,
"fuzzy_match": true,
"category": "unknown"
}
],
"last_extraction_states": [
{
"status": "processing_error",
"status_code": null,
"processed_at": "2025-09-28T18:27:10.706385+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-03-28T18:54:01.541244+01:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-06-04T18:49:35.324089+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-04T19:12:11.918288+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-05T18:19:53.217516+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-17T03:34:52.592070+02:00"
}
],
"redirects_to_company": null,
"redirects_to_company_reason": null,
"parent_company": null,
"subsidiary_companies": [],
"similar_companies": [
{
"id": "015354f5-c0b5-7d77-b7a3-2d9159dcabd6",
"type": "company",
"domain": "toasttab.com",
"name": "Toast Tab, Inc.",
"ticker": "NYSE:TOST"
},
{
"id": "015354e1-3157-7e36-883d-c01e24d001a1",
"type": "company",
"domain": "squareup.com",
"name": "Square Inc.",
"ticker": "NYSE:SQ"
},
{
"id": "0154e099-edd4-7f6d-8309-19a6d70a1153",
"type": "company",
"domain": "vagaro.com",
"name": "Vagaro",
"ticker": null
},
{
"id": "016e3753-f830-758e-b9f4-6dc1608f6ac9",
"type": "company",
"domain": "joinblvd.com",
"name": "Boulevard Labs, Inc.",
"ticker": null
},
{
"id": "0160e4cb-854c-7da2-a745-e6b59e0ea29b",
"type": "company",
"domain": "glossgenius.com",
"name": "GlossGenius",
"ticker": null
}
],
"employees_min": 11,
"employees_max": 50,
"social_associated_members": 34,
"social_logo": "https://media.licdn.com/dms/image/v2/C560BAQHr5TzG8l8HZg/company-logo_200_200/company-logo_200_200/0/1644532656596/directtips_logo?e=2147483647&v=beta&t=xOcm6avQ2hBFivlccvElWIOZFcYMXgp_XP7K-HpAKH8",
"social_slogan": "Cashless Tipping Solutions For Any Business!",
"social_description": "We are tipping experts with optimized solutions for any business. The best part? We deposit tips instantly. Some call it magic, we call it expertise.",
"social_url": "https://www.linkedin.com/company/directtips",
"social_industry": "Financial Services",
"social_company_type": "Privately Held",
"social_headquarters": "Fort Lauderdale, Florida",
"social_founded": "2016",
"social_funding_price": "US$ 690.8K",
"social_funding_last_round_date": "2020-05-20",
"social_funding_last_round_stage": "Seed",
"social_crunchbase_url": "https://www.crunchbase.com/organization/directtips",
"social_ticker": null,
"social_specialties": [
"technology",
"software",
"service industry",
"Hospitality",
"fintech",
"tipping",
"digital tipping",
"cashless tipping",
"Beauty Industry",
"Restaurant tipping",
"and Fitness Tipping"
],
"social_company_id": 11544088,
"social_stats": [
{
"followers": 2224,
"updated_at": "2024-09-30",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2251,
"updated_at": "2025-01-31",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2250,
"updated_at": "2025-03-31",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2357,
"updated_at": "2025-07-31",
"associated_members": 31,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2351,
"updated_at": "2025-09-30",
"associated_members": 31,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2358,
"updated_at": "2025-12-31",
"associated_members": 32,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2370,
"updated_at": "2026-03-31",
"associated_members": 32,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2374,
"updated_at": "2026-05-31",
"associated_members": 34,
"employees_min": 11,
"employees_max": 50
}
],
"social_location_data": [
{
"city": "Oakland Park",
"state": "Florida",
"country": "United States"
},
{
"city": "Reading",
"state": "Pennsylvania",
"country": "United States"
}
],
"naics6_codes": [
"522320"
],
"revenue_range": "From $10,000,000 to $49,999,999",
"revenue_range_data": {
"revenue_range_low": 10000000,
"revenue_range_high": 49999999
},
"revenue_source": "company_size_based_estimate"
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}Invalid request body or parameters.
{
"error": {
"type": "bad_request",
"message": "..."
}
}Authentication credentials are invalid or API subscription is not activated.
{
"error": {
"type": "unauthorized",
"message": "..."
}
}Exceeded the monthly request limit.
{
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}Request rate over limit.
{
"error": {
"type": "forbidden",
"message": "..."
}
}Record not found.
{
"error": {
"type": "not_found",
"message": "..."
}
}Provided data failed to validate.
{
"error": {
"type": "unprocessable_content",
"message": "..."
}
}Too many requests.
{
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}Internal server error.
{
"error": {
"type": "internal_server_error",
"message": "..."
}
}Service temporarily unavailable.
{
"error": {
"type": "service_unavailable",
"message": "..."
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "ExtendedCompaniesDataset",
"summary": "Extended information about companies.\n",
"description": "The Extended Companies Dataset includes additional company data such as Company size range,\nCompany Logo, Company Slogan, Industry, Company Type and other company information.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "ExtendedCompany",
"description": "The `ExtendedCompany` object.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker",
"friendly_name",
"meta_title",
"meta_description",
"description",
"description_short",
"language",
"location",
"location_data",
"last_extraction_states",
"redirects_to_company",
"redirects_to_company_reason",
"parent_company",
"subsidiary_companies",
"similar_companies",
"employees_min",
"employees_max",
"social_associated_members",
"social_logo",
"social_slogan",
"social_description",
"social_url",
"social_industry",
"social_company_type",
"social_headquarters",
"social_founded",
"social_funding_price",
"social_funding_last_round_date",
"social_funding_last_round_stage",
"social_crunchbase_url",
"social_ticker",
"social_specialties",
"social_company_id",
"social_stats",
"social_location_data",
"naics6_codes",
"revenue_range",
"revenue_range_data",
"revenue_source"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
},
"friendly_name": {
"description": "Company friendly name.",
"type": [
"string",
"null"
]
},
"meta_title": {
"description": "Company website's meta title.",
"type": [
"string",
"null"
]
},
"meta_description": {
"description": "Company website's meta description.",
"type": [
"string",
"null"
]
},
"description": {
"description": "Translated and summarized description.",
"type": [
"string",
"null"
]
},
"description_short": {
"description": "Short version of the translated and summarized description.",
"type": [
"string",
"null"
]
},
"language": {
"description": "`Company` website's language.",
"type": [
"string",
"null"
]
},
"location": {
"description": "`Company` location.\n<br>\n**NOTE**: It is built from the `location_data` attributes if present.\n",
"example": "Menlo Park, California, 94025, United States, Northern America, Americas",
"type": [
"string",
"null"
]
},
"location_data": {
"description": "**NOTE**: Currently contains at most one object.",
"type": "array",
"items": {
"title": "CompanyLocationData",
"description": "The `CompanyLocationData` object.",
"example": {
"id": "0196e906-3aab-716c-b14b-9cc5f2778291",
"type": "company_location_data",
"location": "4145 SW Watson Ave, Beaverton, Oregon 97005, United States",
"zip_code": "97005",
"street_address": "4145 SW Watson Ave",
"city": "Beaverton",
"county": "Washington County",
"admin_area": "Oregon",
"state": "Oregon",
"country": "United States",
"continent": "North America",
"latitude": 45.489652,
"longitude": -122.806691,
"fuzzy_match": false,
"category": "headquarters"
},
"type": "object",
"required": [
"id",
"type",
"location",
"zip_code",
"street_address",
"city",
"county",
"admin_area",
"state",
"country",
"continent",
"latitude",
"longitude",
"fuzzy_match",
"category"
],
"properties": {
"id": {
"description": "ID of the `CompanyLocationData` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "Type of the `CompanyLocationData` object.",
"const": "company_location_data"
},
"location": {
"description": "Location as a string.",
"example": "4145 SW Watson Ave, Beaverton, Oregon 97005, United States",
"type": "string"
},
"zip_code": {
"description": "ZIP code of the location.",
"example": "97005",
"type": [
"string",
"null"
]
},
"street_address": {
"description": "Street address of the location.",
"example": "4145 SW Watson Ave",
"type": [
"string",
"null"
]
},
"city": {
"description": "City of the location.",
"example": "Beaverton",
"type": [
"string",
"null"
]
},
"county": {
"description": "County of the location.",
"example": "Washington County",
"type": [
"string",
"null"
]
},
"admin_area": {
"description": "Administrative area of the location.",
"example": "Oregon",
"type": [
"string",
"null"
]
},
"state": {
"description": "State of the location.",
"example": "Oregon",
"type": [
"string",
"null"
]
},
"country": {
"description": "Country of the location.",
"example": "United States",
"type": [
"string",
"null"
]
},
"continent": {
"description": "Continent of the location.",
"example": "North America",
"type": [
"string",
"null"
]
},
"latitude": {
"description": "Latitude coordinate of the location.",
"example": 45.489652,
"type": [
"number",
"null"
]
},
"longitude": {
"description": "Longitude coordinate of the location.",
"example": -122.806691,
"type": [
"number",
"null"
]
},
"fuzzy_match": {
"description": "`true` indicates that location data may not have been extracted accurately.\n<br>\n`false` indicates that location data has been extracted correctly.\n",
"type": "boolean",
"example": false
},
"category": {
"description": "Location category.",
"example": "headquarters",
"type": "string",
"enum": [
"headquarters",
"office",
"retail",
"facility",
"service_area",
"registered_address",
"unknown"
]
}
}
}
},
"last_extraction_states": {
"description": "Extraction states of the company website's main subpage.",
"type": "array",
"items": {
"type": "object",
"required": [
"status",
"status_code",
"processed_at"
],
"properties": {
"status": {
"description": "Extraction status.",
"type": "string"
},
"status_code": {
"description": "HTTP response status code.",
"type": [
"integer",
"null"
]
},
"processed_at": {
"description": "Date & time (ISO 8601) of when the `Company` was last processed.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
}
}
}
},
"redirects_to_company": {
"title": "Company",
"description": "The company this company's domain redirects to.",
"type": [
"object",
"null"
],
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"redirects_to_company_reason": {
"description": "Reason of the redirect.",
"type": [
"string",
"null"
],
"enum": [
"acquisition_merger",
"locality",
"rebranding",
null
]
},
"parent_company": {
"title": "Company",
"description": "The company's parent company.",
"type": [
"object",
"null"
],
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"subsidiary_companies": {
"description": "The company's subsidiary companies.",
"type": "array",
"items": {
"title": "Company",
"description": "A subsidiary company of this company.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
},
"similar_companies": {
"description": "Companies similar to this company. Up to 5 are returned.",
"type": "array",
"items": {
"title": "Company",
"description": "A company similar to this company.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
},
"employees_min": {
"description": "Lower bound number of the company size range.",
"type": [
"integer",
"null"
]
},
"employees_max": {
"description": "Upper bound number of the company size range.",
"type": [
"integer",
"null"
]
},
"social_associated_members": {
"description": "Number of associated members on the company's social profile.",
"type": [
"integer",
"null"
]
},
"social_logo": {
"description": "Company social profile logo URL.",
"type": [
"string",
"null"
]
},
"social_slogan": {
"description": "Company social profile slogan.",
"type": [
"string",
"null"
]
},
"social_description": {
"description": "Company social profile description.",
"type": [
"string",
"null"
]
},
"social_url": {
"description": "Company social profile URL.",
"type": [
"string",
"null"
]
},
"social_industry": {
"description": "Company industry from social profile data.",
"type": [
"string",
"null"
]
},
"social_company_type": {
"description": "Company ownership structure.",
"type": [
"string",
"null"
]
},
"social_headquarters": {
"description": "Company headquarters.",
"type": [
"string",
"null"
]
},
"social_founded": {
"description": "Year the company was founded.",
"type": [
"string",
"null"
]
},
"social_funding_price": {
"description": "Company funding amount.",
"type": [
"string",
"null"
]
},
"social_funding_last_round_date": {
"description": "Company funding last round date.",
"type": [
"string",
"null"
],
"format": "date"
},
"social_funding_last_round_stage": {
"description": "Company funding last round stage.",
"type": [
"string",
"null"
]
},
"social_crunchbase_url": {
"description": "Company Crunchbase URL.",
"type": [
"string",
"null"
]
},
"social_ticker": {
"description": "Company ticker from social profile data.",
"type": [
"string",
"null"
]
},
"social_specialties": {
"description": "Company specialties from social profile data.",
"type": [
"array",
"null"
]
},
"social_company_id": {
"description": "Company social profile ID.",
"type": [
"integer",
"null"
]
},
"social_stats": {
"description": "Follower and employee statistics from the company's social profile over time.",
"type": [
"array",
"null"
],
"items": {
"title": "SocialStats",
"description": "The `SocialStats` object.",
"type": "object",
"required": [
"associated_members",
"followers",
"updated_at"
],
"properties": {
"associated_members": {
"type": [
"integer",
"null"
]
},
"followers": {
"type": [
"integer",
"null"
]
},
"employees_min": {
"type": [
"integer"
]
},
"employees_max": {
"type": [
"integer"
]
},
"updated_at": {
"type": [
"string"
],
"format": "date"
}
}
}
},
"social_location_data": {
"description": "Company locations from the social profile, primary location first.",
"type": "array",
"items": {
"title": "LocationDataLite",
"description": "The `LocationDataLite` object.",
"example": {
"city": "Menlo Park",
"state": "California",
"country": "United States"
},
"type": "object",
"required": [
"city",
"state",
"country"
],
"properties": {
"city": {
"description": "City of the location.",
"example": "Menlo Park",
"type": [
"string",
"null"
]
},
"state": {
"description": "State of the location.",
"example": "California",
"type": [
"string",
"null"
]
},
"country": {
"description": "Country of the location.",
"example": "United States",
"type": [
"string",
"null"
]
}
}
}
},
"naics6_codes": {
"description": "Company's NAICS codes.",
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
},
"revenue_range": {
"description": "Estimated revenue range.",
"type": [
"string",
"null"
]
},
"revenue_range_data": {
"description": "Revenue range data.",
"type": "object",
"properties": {
"revenue_range_low": {
"type": [
"integer",
"null"
]
},
"revenue_range_high": {
"type": [
"integer",
"null"
]
}
}
},
"revenue_source": {
"description": "Where the revenue range figure came from.",
"type": [
"string",
"null"
],
"enum": [
"sec_filing",
"wikipedia_infobox",
"evidence_based_estimate",
"company_size_based_estimate",
"manually_reviewed",
null
]
}
}
}
},
"meta": {
"description": "Meta information about `ExtendedCompaniesDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "0164245a-5850-76aa-ba63-f947a5904cbb",
"type": "company",
"domain": "meettippy.com",
"name": "DirectTIPS Operations, LLC.",
"friendly_name": "Tippy",
"ticker": null,
"meta_title": "Homepage - Tippy",
"meta_description": "We are tipping experts with optimized solutions for Salons & Spas. Groomers. Fitness. Auto Shops. Your Business. Let us find the best tipping solution for you! Enter your email to get started! Yay Tippy! Winners for Best Work Spaces, Best of Fort Lauderdale 2022! Thank you Fort Lauderdale Magazine and",
"description": "Tippy provides digital tipping solutions designed for service-based businesses, including salons, spas, grooming facilities, fitness centers, and auto shops. The organization facilitates the collection of gratuities and manages instant payouts to service professionals. To support these operations, the organization integrates with point-of-sale systems and provides standalone kiosks to handle the processing of tips.",
"description_short": "Tippy provides digital tipping solutions for service-based businesses such as salons, spas, grooming facilities, fitness centers, and auto shops.",
"language": "en",
"location": "2755 E Oakland Park Blvd, Fort Lauderdale, Florida 33306, United States",
"location_data": [
{
"id": "01a0b033-9b07-76c1-9add-771c1429f0be",
"type": "company_location_data",
"location": "2755 E Oakland Park Blvd, Fort Lauderdale, Florida 33306, United States",
"zip_code": "33306",
"street_address": "2755 East Oakland Park Boulevard",
"city": "Fort Lauderdale",
"county": "Broward County",
"admin_area": "Florida",
"state": "Florida",
"country": "United States",
"continent": "North America",
"latitude": 26.16749,
"longitude": -80.11004,
"fuzzy_match": false,
"category": "headquarters"
},
{
"id": "01a0b033-9b07-7de9-b86c-11b73e76fc12",
"type": "company_location_data",
"location": "935 Berkshire Blvd, Reading, Pennsylvania 19610, United States",
"zip_code": "19606",
"street_address": null,
"city": "Reading",
"county": "Berks County",
"admin_area": "Pennsylvania",
"state": "Pennsylvania",
"country": "United States",
"continent": "North America",
"latitude": 40.346978,
"longitude": -75.924261,
"fuzzy_match": true,
"category": "unknown"
}
],
"last_extraction_states": [
{
"status": "processing_error",
"status_code": null,
"processed_at": "2025-09-28T18:27:10.706385+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-03-28T18:54:01.541244+01:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-06-04T18:49:35.324089+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-04T19:12:11.918288+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-05T18:19:53.217516+02:00"
},
{
"status": "live",
"status_code": 200,
"processed_at": "2026-10-17T03:34:52.592070+02:00"
}
],
"redirects_to_company": null,
"redirects_to_company_reason": null,
"parent_company": null,
"subsidiary_companies": [],
"similar_companies": [
{
"id": "015354f5-c0b5-7d77-b7a3-2d9159dcabd6",
"type": "company",
"domain": "toasttab.com",
"name": "Toast Tab, Inc.",
"ticker": "NYSE:TOST"
},
{
"id": "015354e1-3157-7e36-883d-c01e24d001a1",
"type": "company",
"domain": "squareup.com",
"name": "Square Inc.",
"ticker": "NYSE:SQ"
},
{
"id": "0154e099-edd4-7f6d-8309-19a6d70a1153",
"type": "company",
"domain": "vagaro.com",
"name": "Vagaro",
"ticker": null
},
{
"id": "016e3753-f830-758e-b9f4-6dc1608f6ac9",
"type": "company",
"domain": "joinblvd.com",
"name": "Boulevard Labs, Inc.",
"ticker": null
},
{
"id": "0160e4cb-854c-7da2-a745-e6b59e0ea29b",
"type": "company",
"domain": "glossgenius.com",
"name": "GlossGenius",
"ticker": null
}
],
"employees_min": 11,
"employees_max": 50,
"social_associated_members": 34,
"social_logo": "https://media.licdn.com/dms/image/v2/C560BAQHr5TzG8l8HZg/company-logo_200_200/company-logo_200_200/0/1644532656596/directtips_logo?e=2147483647&v=beta&t=xOcm6avQ2hBFivlccvElWIOZFcYMXgp_XP7K-HpAKH8",
"social_slogan": "Cashless Tipping Solutions For Any Business!",
"social_description": "We are tipping experts with optimized solutions for any business. The best part? We deposit tips instantly. Some call it magic, we call it expertise.",
"social_url": "https://www.linkedin.com/company/directtips",
"social_industry": "Financial Services",
"social_company_type": "Privately Held",
"social_headquarters": "Fort Lauderdale, Florida",
"social_founded": "2016",
"social_funding_price": "US$ 690.8K",
"social_funding_last_round_date": "2020-05-20",
"social_funding_last_round_stage": "Seed",
"social_crunchbase_url": "https://www.crunchbase.com/organization/directtips",
"social_ticker": null,
"social_specialties": [
"technology",
"software",
"service industry",
"Hospitality",
"fintech",
"tipping",
"digital tipping",
"cashless tipping",
"Beauty Industry",
"Restaurant tipping",
"and Fitness Tipping"
],
"social_company_id": 11544088,
"social_stats": [
{
"followers": 2224,
"updated_at": "2024-09-30",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2251,
"updated_at": "2025-01-31",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2250,
"updated_at": "2025-03-31",
"associated_members": 27,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2357,
"updated_at": "2025-07-31",
"associated_members": 31,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2351,
"updated_at": "2025-09-30",
"associated_members": 31,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2358,
"updated_at": "2025-12-31",
"associated_members": 32,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2370,
"updated_at": "2026-03-31",
"associated_members": 32,
"employees_min": 11,
"employees_max": 50
},
{
"followers": 2374,
"updated_at": "2026-05-31",
"associated_members": 34,
"employees_min": 11,
"employees_max": 50
}
],
"social_location_data": [
{
"city": "Oakland Park",
"state": "Florida",
"country": "United States"
},
{
"city": "Reading",
"state": "Pennsylvania",
"country": "United States"
}
],
"naics6_codes": [
"522320"
],
"revenue_range": "From $10,000,000 to $49,999,999",
"revenue_range_data": {
"revenue_range_low": 10000000,
"revenue_range_high": 49999999
},
"revenue_source": "company_size_based_estimate"
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}
}{
"description": "Bad request.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `BadRequestError` object.",
"const": "bad_request"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "bad_request",
"message": "..."
}
}
}{
"description": "Unauthorized.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnauthorizedError` object.",
"const": "unauthorized"
},
"message": {
"description": "Error message.",
"type": "string",
"const": "Authentication failed"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unauthorized",
"message": "..."
}
}
}{
"description": "Payment required.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `PaymentRequiredError` object.",
"const": "payment_required"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}
}{
"description": "Forbidden.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ForbiddenError` object.",
"const": "forbidden"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "forbidden",
"message": "..."
}
}
}{
"description": "Not found.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `NotFoundError` object.",
"const": "not_found"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "not_found",
"message": "..."
}
}
}{
"description": "Unprocessable content.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnprocessableContentError` object.",
"const": "unprocessable_content"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unprocessable_content",
"message": "..."
}
}
}{
"description": "Too many requests.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `TooManyRequestsError` object.",
"const": "too_many_requests"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}
}{
"description": "Internal server error.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `InternalServerError` object.",
"const": "internal_server_error"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "internal_server_error",
"message": "..."
}
}
}{
"description": "Service unavailable.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ServiceUnavailableError` object.",
"const": "service_unavailable"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "service_unavailable",
"message": "..."
}
}
}Returns a list of a company’s Company Signals.
GET
https://predictleads.com/api/v4/companies/{company_id_or_domain}/company_signals
| Path Parameters | |||
string
|
|||
| Query Parameters | |||
|
|
|||
|
|
|||
|
|
|||
|
Items
string
|
|||
|
One of
(12 total)
|
|||
string
Constant:
"corporate_development"
|
|||
string
Constant:
"funding"
|
|||
string
Constant:
"financials"
|
|||
string
Constant:
"people"
|
|||
string
Constant:
"location_and_facilities"
|
|||
string
Constant:
"strategy"
|
|||
string
Constant:
"product"
|
|||
string
Constant:
"tech_stack"
|
|||
string
Constant:
"market_relationships"
|
|||
string
Constant:
"recognition"
|
|||
string
Constant:
"legal_and_risk"
|
|||
string
Constant:
"other"
|
|||
|
|
|||
|
|
|||
curl --request GET \
--url https://predictleads.com/api/v4/companies/{company_id_or_domain}/company_signals \
--header 'X-Api-Key: {your_api_key}' --header 'X-Api-Token: {your_api_token}'import http.client
conn = http.client.HTTPSConnection("predictleads.com")
headers = {'X-Api-Key': "{your_api_key}", 'X-Api-Token': "{your_api_token}"}
conn.request("GET", "/api/v4/companies/{company_id_or_domain}/company_signals", headers=headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))Request was successfully processed.
{
"data": [
{
"id": "019ff376-0929-770a-bef2-fdc11f58d6d0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "department_hiring_surge",
"headline": "Hiring surge in Operations",
"summary": "Hiring surge in Operations, with 11 new openings in the last 30 days against a usual 1.56 a month.",
"evidence": "11 new openings in the last 30 days vs 1.6 monthly average.",
"details": {
"type": "department_hiring_surge_details",
"openings": 11,
"department": "Operations",
"monthly_average": 1.56
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-0929-7818-9a23-bd3108dc0ca0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "location_hiring_surge",
"headline": "Hiring surge in California, United States",
"summary": "Hiring surge in California, United States, with 29 new openings in the last 30 days against a usual 9.37 a month.",
"evidence": "29 new openings in the last 30 days vs 9.4 monthly average.",
"details": {
"type": "location_hiring_surge_details",
"state": "California",
"country": "United States",
"location": "California, United States",
"openings": 29,
"location_raw": "San Francisco",
"monthly_average": 9.37
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7ab1-b24f-2f06c52841d4",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "financials",
"subcategory": "profitability",
"headline": "Achieved profitability",
"summary": "The company is currently profitable.",
"evidence": "\"Mercor is a profitable Series C company valued at $10 billion.\"",
"details": {
"type": "company_signal_details"
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-13T21:36:36Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019f5d71-9251-7569-998b-e056d8ebb116",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7b0a-8957-acc8f5d288ac",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "product",
"subcategory": "product_launch",
"headline": "Launched APEX benchmark family",
"summary": "The company has released its APEX benchmark family to measure AI's real-world impact.",
"evidence": "\"Mercor's APEX benchmark family measures AI's real-world impact on professional work.\"",
"details": {
"type": "company_signal_details",
"product": "APEX benchmark family"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-27T21:59:55Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019fa597-c6ae-768e-ab61-784e3578b7c0",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "01a05d24-aebc-716d-a81c-cc3d452dd9de",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "other",
"subcategory": "growth_signal",
"headline": "Building a Strategic Finance team",
"summary": "Building a Strategic Finance team to elevate planning, resource allocation, and performance assessment as the company scales.",
"evidence": "\"As we scale, we’re building out a Strategic Finance team to elevate how we plan, allocate resources, and assess performance across the business.\"",
"details": {
"type": "company_signal_details"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-09-01T13:24:40Z",
"first_seen_at": "2026-08-14T00:28:06Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019ffdab-87e6-7769-b10a-04dd2675efaa",
"type": "job_opening"
},
{
"id": "01a0ce94-cf04-7fdf-abc1-80668d42fd9f",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
}
],
"meta": {
"schema_version": "4.2",
"record_state": "active"
}
}Invalid request body or parameters.
{
"error": {
"type": "bad_request",
"message": "..."
}
}Authentication credentials are invalid or API subscription is not activated.
{
"error": {
"type": "unauthorized",
"message": "..."
}
}Exceeded the monthly request limit.
{
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}Request rate over limit.
{
"error": {
"type": "forbidden",
"message": "..."
}
}Record not found.
{
"error": {
"type": "not_found",
"message": "..."
}
}Provided data failed to validate.
{
"error": {
"type": "unprocessable_content",
"message": "..."
}
}Too many requests.
{
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}Internal server error.
{
"error": {
"type": "internal_server_error",
"message": "..."
}
}Service temporarily unavailable.
{
"error": {
"type": "service_unavailable",
"message": "..."
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "CompanySignalsDataset",
"summary": "Signals about company activity derived from PredictLeads datasets.\n",
"description": "PredictLeads Company Signals surface actionable intelligence about companies by\nanalysing patterns across all PredictLeads datasets.\n<br><br>\nEach signal captures a concrete, time-stamped event, such as a hiring surge in a\nspecific job category or a strategic insight extracted from job descriptions, along\nwith a human-readable headline, an importance score, and the evidence behind the\ndetection.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "CompanySignal",
"description": "The `CompanySignal` object.",
"type": "object",
"required": [
"id",
"type",
"sources",
"category",
"subcategory",
"headline",
"summary",
"evidence",
"details",
"importance",
"sentiment",
"detected_at",
"first_seen_at",
"company",
"detected_on_job_openings",
"detected_on_sec_filings"
],
"properties": {
"id": {
"description": "ID of the `CompanySignal` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company_signal"
},
"sources": {
"description": "The data endpoints this signal was derived from.",
"type": "array",
"items": {
"oneOf": [
{
"const": "job_openings",
"description": "Signal derived from the job openings dataset."
},
{
"const": "sec_filings",
"description": "Signal derived from SEC filings."
},
{
"const": "website_changes",
"description": "Signal derived from the website changes dataset."
},
{
"const": "technologies",
"description": "Signal derived from the technology detections dataset."
}
]
}
},
"category": {
"description": "The group the signal's `subcategory` belongs to.",
"oneOf": [
{
"const": "corporate_development",
"description": "Company acquired another company, merged, sold assets, invested into another company, or spun part of itself off."
},
{
"const": "funding",
"description": "Company raised financing, named a backer, or went public."
},
{
"const": "financials",
"description": "Company's reported revenue, earnings, profitability or valuation."
},
{
"const": "people",
"description": "Company's leadership and workforce: an executive or senior personnel change, headcount and team build-out, or a hiring surge against its prior year's monthly average."
},
{
"const": "location_and_facilities",
"description": "Company opened, expanded or closed an office, facility or location."
},
{
"const": "strategy",
"description": "Company changed direction, positioning, pricing, or the market it targets."
},
{
"const": "product",
"description": "Company launched, is developing, or integrated an offering."
},
{
"const": "tech_stack",
"description": "Company adopted, licensed or replaced a named technology or platform."
},
{
"const": "market_relationships",
"description": "Company's customers, partners and competitors."
},
{
"const": "recognition",
"description": "Company or a person at the company received an award or recognition."
},
{
"const": "legal_and_risk",
"description": "Company faces bankruptcy, litigation, security issues, or is winding down."
},
{
"const": "other",
"description": "A notable company-level event that fits none of the other categories."
}
]
},
"subcategory": {
"description": "What the signal reports, within its `category` group (e.g. `\"financing_event\"` under\n`funding`, `\"product_launch\"` under `product`).\nA hiring surge names the dimension it was counted along -- `\"company_wide_hiring_surge\"`,\n`\"department_hiring_surge\"` or `\"location_hiring_surge\"`, all under `people`. The bucket\nthat surged (the job opening category, or the location with its state and country) is in\n`details`.\n",
"type": [
"string",
"null"
]
},
"headline": {
"description": "A short human-readable summary of the signal.",
"type": "string"
},
"summary": {
"description": "The headline extended with the specifics behind it, in one sentence.",
"type": [
"string",
"null"
]
},
"evidence": {
"description": "Evidence supporting the signal: a verbatim excerpt from the source for signals read out of a job description or a SEC filing, or a human-readable explanation for hiring surge signals.",
"type": "string"
},
"details": {
"description": "Structured extras recorded about the signal, keyed by name. Which keys are present depends on what detected the signal, so the object takes exactly one of the definitions below.",
"oneOf": [
{
"title": "DepartmentHiringSurgeDetails",
"description": "Details of a hiring surge counted within one job category.",
"type": "object",
"required": [
"type",
"department",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "department_hiring_surge_details"
},
"department": {
"description": "The job category that surged.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
},
"general": {
"description": "A mark the curator recorded about the signal. Present only on a hiring surge whose bucket the curator judged out of character for the company.",
"type": "string",
"enum": [
"unexpected_surge_for_a_company"
]
},
"general_reason": {
"description": "Why the curator recorded the mark in `general`: what the company does and why the surging bucket falls outside it.",
"type": "string",
"maxLength": 200
}
}
},
{
"title": "LocationHiringSurgeDetails",
"description": "Details of a hiring surge counted within one hiring location.",
"type": "object",
"required": [
"type",
"location",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "location_hiring_surge_details"
},
"location": {
"description": "The location that surged, its state and country when the state is known (e.g. `\"California, United States\"`), its country otherwise.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
},
"state": {
"description": "State or region of the surging location, absent when only the country resolved.",
"type": "string"
},
"country": {
"description": "Country of the surging location.",
"type": "string"
},
"location_raw": {
"description": "The location exactly as one of the counted job postings worded it.",
"type": "string"
},
"general": {
"description": "A mark the curator recorded about the signal. Present only on a hiring surge whose bucket the curator judged out of character for the company.",
"type": "string",
"enum": [
"unexpected_surge_for_a_company"
]
},
"general_reason": {
"description": "Why the curator recorded the mark in `general`: what the company does and why the surging bucket falls outside it.",
"type": "string",
"maxLength": 200
}
}
},
{
"title": "CompanyWideHiringSurgeDetails",
"description": "Details of a hiring surge counted across every job opening of the company.",
"type": "object",
"required": [
"type",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "company_wide_hiring_surge_details"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
},
"open_positions_total": {
"description": "Open positions when the surge was detected, a total rather than new postings.",
"type": "integer"
},
"department_details": {
"description": "Every job category the company is hiring in or averaged an opening a month in.",
"type": "array",
"items": {
"type": "object",
"required": [
"department",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"department": {
"description": "The department this entry counts.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
}
}
}
},
"location_details": {
"description": "Every location the company is hiring in or averaged an opening a month in.",
"type": "array",
"items": {
"type": "object",
"required": [
"location",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"location": {
"description": "The location this entry counts.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
}
}
}
}
}
},
{
"title": "SECFilingSignalDetails",
"description": "Details of a signal extracted from a SEC filing, where a `financing_event` is always debt.",
"type": "object",
"required": [
"type"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "sec_filing_signal_details"
},
"source_item": {
"description": "The Form 8-K item the event was reported under, e.g. `5.02`.",
"type": "string"
},
"person": {
"description": "The individual named, as worded, with no courtesy title, on a `leadership_change` signal.",
"type": "string"
},
"job_title": {
"description": "The title a person takes or leaves, as worded, on a `leadership_change` signal.",
"type": "string"
},
"change_type": {
"description": "Which leadership change this is, on a `leadership_change` signal.",
"oneOf": [
{
"const": "officer_appointment"
},
{
"const": "officer_departure"
},
{
"const": "board_appointment"
},
{
"const": "board_departure"
},
{
"const": "interim_appointment"
}
]
},
"acquirer": {
"description": "The buyer: the company doing the acquiring on an `acquisition` signal, or the one buying the business on an `asset_sale`.",
"type": "string"
},
"acquired_company": {
"description": "The company being acquired, on an `acquisition` signal.",
"type": "string"
},
"amount": {
"description": "The monetary figure the signal turns on, as worded, e.g. `$1.2 billion`. On a `financing_raised_to_date` signal it is the cumulative total raised rather than any single figure.",
"type": "string"
},
"amount_normalized": {
"description": "The `amount` figure in whole US dollars, taking the midpoint where the wording states a range.",
"type": "integer"
},
"partners": {
"description": "Partners named, on a `partnership` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"former_parent": {
"description": "The parent the registrant was separated out of, on a `spin_off` signal.",
"type": "string"
},
"lender": {
"description": "The lender or administrative agent, on a `financing_event` or `debt_agreement_amendment`. Never the company the signal is about.",
"type": "string"
},
"debt_instrument": {
"description": "How the debt is structured, on a debt `financing_event` signal: `security` for a tradable instrument such as notes or bonds, `loan` for an agreement with a bank or a lender group.",
"oneOf": [
{
"const": "security"
},
{
"const": "loan"
}
]
},
"financing_type": {
"description": "The kind of financing raised, on a `financing_event` signal.",
"type": "string"
},
"exchange": {
"description": "The stock exchange a listing signal is about.",
"type": "string"
},
"predecessor": {
"description": "The outgoing audit firm, on an auditor change signal.",
"type": "string"
},
"successor": {
"description": "The incoming audit firm, on an auditor change signal.",
"type": "string"
}
}
},
{
"title": "CompanySignalDetails",
"description": "Details of a signal read out of a job description or a change on the company's website: the specifics behind it, keyed by name. Which keys are present follows from the `subcategory`.",
"type": "object",
"required": [
"type"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "company_signal_details"
},
"financing_type": {
"description": "The kind of financing raised, on a `financing_event` signal.",
"type": "string"
},
"amount": {
"description": "The monetary figure the signal turns on, as worded, e.g. `$1.2 billion`. On a `financing_raised_to_date` signal it is the cumulative total raised rather than any single figure.",
"type": "string"
},
"amount_normalized": {
"description": "The `amount` figure in whole US dollars, taking the midpoint where the wording states a range.",
"type": "integer"
},
"valuation": {
"description": "Valuation as worded, on a `valuation` signal.",
"type": "string"
},
"valuation_normalized": {
"description": "Valuation in whole US dollars.",
"type": "integer"
},
"valuation_increase": {
"description": "Valuation increase as worded, on a `valuation_increase` signal.",
"type": "string"
},
"valuation_increase_normalized": {
"description": "Valuation increase in whole US dollars.",
"type": "integer"
},
"growth_metric": {
"description": "The figure the company grows by, as worded, on a `growth_signal`, `revenue` or `revenue_increase` signal.",
"type": "string"
},
"growth_metric_type": {
"description": "What the figure counts. A rate of change is typed by what it counts, so revenue growth is `revenue`.",
"oneOf": [
{
"const": "revenue"
},
{
"const": "users"
},
{
"const": "customers"
},
{
"const": "transactions"
},
{
"const": "other"
}
]
},
"growth_metric_scope": {
"description": "The slice of the business the figure covers when it is not the whole company - a region, a segment or a channel. Absent when the evidence does not scope the figure, which normally means it covers the whole company.",
"type": "string"
},
"growth_metric_normalized": {
"description": "The `growth_metric` figure as a whole number. Its unit follows `growth_metric_type`: US dollars when the type is monetary, converted at an approximate recent rate, so 5400000 for \"€5M ARR\", and the plain count otherwise, so 1700000 for \"1.7 million users\". Absent when the wording states a rate or a vague phrase rather than a figure, as in \"grown 10x\".",
"type": "integer"
},
"growth_metric_annual_multiplier": {
"description": "The growth as a multiplier over one year. Growth stated over a longer period is annualised, so \"10x since 2022\" read in 2026 is 1.78 rather than 10.",
"type": "number"
},
"product": {
"description": "The product named, on a `product_launch` or `product_in_development` signal.",
"type": "string"
},
"acquirer": {
"description": "The buyer: the company doing the acquiring on an `acquisition` signal, or the one buying the business on an `asset_sale`.",
"type": "string"
},
"acquired_company": {
"description": "The company being acquired, on an `acquisition` signal.",
"type": "string"
},
"integration": {
"description": "The product or platform integrated with, on an `integration` signal.",
"type": "string"
},
"market": {
"description": "The segment, vertical or market entered, on a `market_entry` signal.",
"type": "string"
},
"office_location": {
"description": "The place the office is opening, on a `new_office` signal.",
"type": "string"
},
"technology": {
"description": "The technology or platform adopted, on a `technology_adoption` signal.",
"type": "string"
},
"recognition": {
"description": "The award or listing named, on a `recognition` signal.",
"type": "string"
},
"customers": {
"description": "Customers named, on a `customer_identified` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"investors": {
"description": "Investors named: those backing the company on an `investor_identified` or `financing_raised_to_date` signal, those taking part in the round on a `financing_event` one.",
"type": "array",
"items": {
"type": "string"
}
},
"partners": {
"description": "Partners named, on a `partnership` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"merging_companies": {
"description": "The companies combining, this one included, on a `merger` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"lender": {
"description": "The lender or administrative agent, on a `financing_event` or `debt_agreement_amendment`. Never the company the signal is about.",
"type": "string"
},
"exchange": {
"description": "The stock exchange a listing signal is about.",
"type": "string"
},
"former_parent": {
"description": "The parent the registrant was separated out of, on a `spin_off` signal.",
"type": "string"
},
"predecessor": {
"description": "The outgoing audit firm, on an auditor change signal.",
"type": "string"
},
"person": {
"description": "The individual named, as worded, with no courtesy title, on a `leadership_change` signal.",
"type": "string"
},
"job_title": {
"description": "The title a person takes or leaves, as worded, on a `leadership_change` signal.",
"type": "string"
},
"change_type": {
"description": "Which leadership change this is, on a `leadership_change` signal.",
"oneOf": [
{
"const": "officer_appointment"
},
{
"const": "officer_departure"
},
{
"const": "board_appointment"
},
{
"const": "board_departure"
},
{
"const": "interim_appointment"
}
]
},
"debt_instrument": {
"description": "How the debt is structured, on a debt `financing_event` signal: `security` for a tradable instrument such as notes or bonds, `loan` for an agreement with a bank or a lender group.",
"oneOf": [
{
"const": "security"
},
{
"const": "loan"
}
]
},
"successor": {
"description": "The incoming audit firm, on an auditor change signal.",
"type": "string"
},
"evidence_type": {
"description": "Which sides of the website change the evidence was taken from, on a signal converted from one: `added_text`, `removed_text` for text that disappeared from the page, or `replaced_text` for text that took the place of removed text. The evidence of a `replaced_text` signal holds both, as `Removed: <old text>` and `Added: <new text>` on separate lines.",
"type": "string",
"enum": [
"added_text",
"removed_text",
"replaced_text"
]
}
}
},
{
"title": "CompetitiveDisplacementDetails",
"description": "Details of a company replacing one technology with a competing one.",
"type": "object",
"required": [
"type",
"from_technology",
"from_technology_id",
"to_technology",
"to_technology_id",
"from_last_seen_at",
"to_first_seen_at"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "competitive_displacement_details"
},
"from_technology": {
"description": "The technology that was dropped.",
"type": "string"
},
"from_technology_id": {
"description": "ID of the dropped technology in the technologies dataset.",
"type": "string",
"format": "uuid"
},
"to_technology": {
"description": "The competing technology that replaced it.",
"type": "string"
},
"to_technology_id": {
"description": "ID of the replacing technology in the technologies dataset.",
"type": "string",
"format": "uuid"
},
"from_last_seen_at": {
"description": "Date (ISO 8601) the dropped technology was last detected.",
"type": "string",
"format": "date",
"example": "2024-09-25"
},
"to_first_seen_at": {
"description": "Date (ISO 8601) the replacing technology was first detected.",
"type": "string",
"format": "date",
"example": "2024-09-25"
}
}
}
]
},
"importance": {
"description": "Assessed importance of the signal.",
"oneOf": [
{
"const": "low",
"description": "Minor signal with limited business impact."
},
{
"const": "medium",
"description": "Notable signal worth monitoring."
},
{
"const": "high",
"description": "Strong signal indicating significant company activity."
}
]
},
"sentiment": {
"description": "How the event reads for the company, or `null` until the signal has been reviewed.",
"oneOf": [
{
"const": "positive",
"description": "Good news for the company, e.g. funding raised, a customer won, a product launched."
},
{
"const": "negative",
"description": "Bad news for the company, e.g. revenue down, a customer lost, layoffs, litigation."
},
{
"const": "neutral",
"description": "Neither, or a datapoint rather than a direction, e.g. a technology adopted, an integration, a change of course."
},
{
"type": "null"
}
]
},
"detected_at": {
"description": "Date & time (ISO 8601) when the `CompanySignal` was detected.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"first_seen_at": {
"description": "Date & time (ISO 8601) the signal first became knowable: the earliest job opening linked to it, the website snapshot the change was found in, or for a SEC filing signal the date its filing was made. Null when the signal has no dated source.",
"type": [
"string",
"null"
],
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"company": {
"title": "Company",
"description": "The company this signal is about.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"detected_on_job_openings": {
"description": "Job openings this signal was detected on, earliest first.",
"type": "array",
"items": {
"title": "JobOpening",
"type": "object",
"required": [
"id",
"type"
],
"properties": {
"id": {
"description": "ID of the `JobOpening` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "job_opening"
}
}
}
},
"detected_on_sec_filings": {
"description": "SEC filings this signal was extracted from. The `evidence` of a signal read from a filing is a verbatim sentence of one of these, and the v3 `sec_filings` endpoint serves each one with its form type, filing date, EDGAR URL and full text.",
"type": "array",
"items": {
"title": "SECFiling",
"type": "object",
"required": [
"id",
"type"
],
"properties": {
"id": {
"description": "ID of the `SECFiling` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "sec_filing"
}
}
}
}
}
}
},
"meta": {
"description": "Meta information about `CompanySignalsDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "019ff376-0929-770a-bef2-fdc11f58d6d0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "department_hiring_surge",
"headline": "Hiring surge in Operations",
"summary": "Hiring surge in Operations, with 11 new openings in the last 30 days against a usual 1.56 a month.",
"evidence": "11 new openings in the last 30 days vs 1.6 monthly average.",
"details": {
"type": "department_hiring_surge_details",
"openings": 11,
"department": "Operations",
"monthly_average": 1.56
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-0929-7818-9a23-bd3108dc0ca0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "location_hiring_surge",
"headline": "Hiring surge in California, United States",
"summary": "Hiring surge in California, United States, with 29 new openings in the last 30 days against a usual 9.37 a month.",
"evidence": "29 new openings in the last 30 days vs 9.4 monthly average.",
"details": {
"type": "location_hiring_surge_details",
"state": "California",
"country": "United States",
"location": "California, United States",
"openings": 29,
"location_raw": "San Francisco",
"monthly_average": 9.37
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7ab1-b24f-2f06c52841d4",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "financials",
"subcategory": "profitability",
"headline": "Achieved profitability",
"summary": "The company is currently profitable.",
"evidence": "\"Mercor is a profitable Series C company valued at $10 billion.\"",
"details": {
"type": "company_signal_details"
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-13T21:36:36Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019f5d71-9251-7569-998b-e056d8ebb116",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7b0a-8957-acc8f5d288ac",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "product",
"subcategory": "product_launch",
"headline": "Launched APEX benchmark family",
"summary": "The company has released its APEX benchmark family to measure AI's real-world impact.",
"evidence": "\"Mercor's APEX benchmark family measures AI's real-world impact on professional work.\"",
"details": {
"type": "company_signal_details",
"product": "APEX benchmark family"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-27T21:59:55Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019fa597-c6ae-768e-ab61-784e3578b7c0",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "01a05d24-aebc-716d-a81c-cc3d452dd9de",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "other",
"subcategory": "growth_signal",
"headline": "Building a Strategic Finance team",
"summary": "Building a Strategic Finance team to elevate planning, resource allocation, and performance assessment as the company scales.",
"evidence": "\"As we scale, we’re building out a Strategic Finance team to elevate how we plan, allocate resources, and assess performance across the business.\"",
"details": {
"type": "company_signal_details"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-09-01T13:24:40Z",
"first_seen_at": "2026-08-14T00:28:06Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019ffdab-87e6-7769-b10a-04dd2675efaa",
"type": "job_opening"
},
{
"id": "01a0ce94-cf04-7fdf-abc1-80668d42fd9f",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
}
],
"meta": {
"schema_version": "4.2",
"record_state": "active"
}
}
}{
"description": "Bad request.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `BadRequestError` object.",
"const": "bad_request"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "bad_request",
"message": "..."
}
}
}{
"description": "Unauthorized.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnauthorizedError` object.",
"const": "unauthorized"
},
"message": {
"description": "Error message.",
"type": "string",
"const": "Authentication failed"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unauthorized",
"message": "..."
}
}
}{
"description": "Payment required.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `PaymentRequiredError` object.",
"const": "payment_required"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}
}{
"description": "Forbidden.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ForbiddenError` object.",
"const": "forbidden"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "forbidden",
"message": "..."
}
}
}{
"description": "Not found.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `NotFoundError` object.",
"const": "not_found"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "not_found",
"message": "..."
}
}
}{
"description": "Unprocessable content.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnprocessableContentError` object.",
"const": "unprocessable_content"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unprocessable_content",
"message": "..."
}
}
}{
"description": "Too many requests.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `TooManyRequestsError` object.",
"const": "too_many_requests"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}
}{
"description": "Internal server error.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `InternalServerError` object.",
"const": "internal_server_error"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "internal_server_error",
"message": "..."
}
}
}{
"description": "Service unavailable.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ServiceUnavailableError` object.",
"const": "service_unavailable"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "service_unavailable",
"message": "..."
}
}
}Returns a list of changes detected on a company’s website, including the markdown difference and AI-generated rationale for each change.
GET
https://predictleads.com/api/v4/companies/{company_id_or_domain}/website_changes
| Path Parameters | |||
string
|
|||
| Query Parameters | |||
|
|
|||
|
|
|||
curl --request GET \
--url https://predictleads.com/api/v4/companies/{company_id_or_domain}/website_changes \
--header 'X-Api-Key: {your_api_key}' --header 'X-Api-Token: {your_api_token}'import http.client
conn = http.client.HTTPSConnection("predictleads.com")
headers = {'X-Api-Key': "{your_api_key}", 'X-Api-Token': "{your_api_token}"}
conn.request("GET", "/api/v4/companies/{company_id_or_domain}/website_changes", headers=headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))Request was successfully processed.
{
"data": [
{
"id": "01a1b227-8ab6-7808-9e20-a6a00c9394dd",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -2,7 +2,13 @@\n The Finnish Dutch Chamber of Commerce is a unique non-profit organization for Finnish-Dutch relations with business content.\n Learn More\n UPCOMING EVENTS\n-There are no upcoming events at this time\n+[11\n+December\n+2026](https://fdcc.eu/event/fdcc-independence-day-dinner-2026/)\n+FDCC Independence Day Dinner 2026\n+18:00 - 22:00\n+The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]\n+Find out more\n OUR PATRON MEMBERS\n \")\")\n \")\")",
"company": {
"id": "016325cd-8c8b-7870-a38a-3dd1ce71e484",
"type": "company",
"domain": "fdcc.eu",
"name": "Finnish Dutch Chamber of Commerce",
"ticker": null
},
"events": [
{
"id": "01a1b229-4846-7712-aec1-8f8cbdf239ec",
"category": "attends_event",
"headline": "Hosts Independence Day Dinner 2026",
"summary": "Announced the FDCC Independence Day Dinner 2026, to be held 11 December 2026 at The College Hotel in Amsterdam.",
"added_evidence": "FDCC Independence Day Dinner 2026 The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-06T01:22:10Z"
},
{
"id": "01a1b227-8aba-71a1-9e8e-cdab8bb302e6",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -104,7 +104,7 @@\n International Collaborations\n Events\n [\n-### Where Experience Met Aspiration: Dr. Chandni Kapadia Decodes a Conversation with CA Aniket Talati on Success](events-where-experience-met-aspiration.html)\n+### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)\n [\n ### GLS University Hosts Special Episode of “Decoded with Dr. Chandni Kapadia” Featuring International Tax Expert Shri Mukesh Patel](events-shri-mukesh-patel-decoded.html)\n [\n@@ -122,11 +122,12 @@\n #### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute. This programme marks a monumental development for India’s creative media education sector.\n Read More\n-#### Dr. Ram Madhav graced the event “Shatranj”.\n-Dr. Ram Madhav faced the event “Shatranj” as the chief guest and inspired the students with his enlightening speech on “Building new India - Innovation and Creativity as Benchmark”.\n-#### GLS University Joins Forces with Leeds Beckett University for Global Bachelor’s Program\n-In order to revolutionise the global education system for international students, GLS University will establish a partnership with Leeds Beckett University (LBU) to provide bachelor's degree programmes\n-Read More\n #### GLS University and Ahmedabad School Management Association Spearhead One-Day Education Conclave on Shaping the Education Landscape\n Ahmedabad, February 27, 2024: GLS University, in collaboration with the Ahmedabad School Management Association (ASMA), successfully organised a one-day education conclave dedicated\n+#### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n+GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute.\n Read More\n+#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada\n+The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.\n+Read More\n+####",
"company": {
"id": "016325cc-c2af-70f0-94dc-b0e78c0859ab",
"type": "company",
"domain": "glsuniversity.ac.in",
"name": "GLS University",
"ticker": null
},
"events": [
{
"id": "01a1b22b-1ef9-7896-8b6e-0c1f843b2587",
"category": "attends_event",
"headline": "Hosts IGNITOR MUN 5.0",
"summary": "Hosted IGNITOR MUN 5.0, a named event focused on experiential learning, innovation and young leadership.",
"added_evidence": "### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
},
{
"id": "01a1b22b-1efa-7215-a73f-08bee197c095",
"category": "partnership",
"headline": "Signs MoU with Seneca Polytechnic",
"summary": "Signed an MoU with Seneca Polytechnic, Canada, inaugurating a global programme between the two institutions on 29 March 2025.",
"added_evidence": "#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-05T14:32:39Z"
},
{
"id": "01a1b223-1047-7195-8c0a-c820342aa8db",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,7 +1,7 @@\n We present\n our news\n-Flying Tiger Copenhagen leases nearly 300 m2 in the Mall of Berlin. Learn more ...\n-dsb Deutsche Sanierungsberatung GmbH leases office space for its new corporate headquarters at Schultheiss Quartier. Learn more ...\n+New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.\n+Activate – an interactive gaming experience at the Mall of Berlin. Learn more ...\n We love\n to develop properties\n The Name **HGHI** has always stood for professional management of large commercial properties, efficient management at the highest level, and the planning, design and realization of great visions.\n@@ -10,11 +10,13 @@\n responsible planning of projects for the environment and the social community.\n The tenants as well as the social environment will benefit from the responsible development of the newly built living and working spaces.\n Projects\n-### Potsdamer Straße 163/165\n-Learn more\n ### Mall of Berlin\n Learn more\n ### Schultheiss Quartier\n+Learn more\n+### Tegel Quartier\n+Learn more\n+### Sankt Annen Galerie\n Learn more\n We create\n sustainable added value through the development of real estate projects",
"company": {
"id": "016325c5-03ff-78a6-96dc-116911e36789",
"type": "company",
"domain": "hghi.de",
"name": "HGHI Holding",
"ticker": null
},
"events": [
{
"id": "01a1b22a-2867-7c4a-807d-2a6a486ec305",
"category": "customer_identified",
"headline": "Signs New Yorker for Mall of Berlin",
"summary": "Signed New Yorker to a 3,000 sq m store across three floors at Mall of Berlin starting September 2026.",
"added_evidence": "New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:33:24Z",
"first_seen_at": "2026-11-05T12:59:59Z"
},
{
"id": "01a1b21e-83ec-7c99-ab00-69e75a1e0e14",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,3 +1,4 @@\n+\")\n Creating new tradition - new AW26 collection\n Andersen Furniture welcomes you into a universe where the new meets the classic, and where every detail tells its own story. In our Autumn Winter 2026 collection, we explore materials in new ways – wood, metal, and stone come together in beautiful objects, where craftsmanship meets contemporary design.\n Each piece celebrates the unique and the personal. No detail is identical, as we believe it is in diversity that a home finds its character. The collection embraces variety and creates space for everyone – regardless of style, needs, or taste.\n@@ -26,6 +27,7 @@\n Each piece is carefully designed to balance aesthetics, comfort, and functionality — contributing to spaces that feel welcoming, purposeful, and timeless.\n Rooted in the moments where people gather, exchange ideas, and create connections, the collection celebrates the interaction between materials, forms, and people. The collection reflects a shared vision of creating furniture that naturally brings people together and strengthens the feeling of connection and belonging.\n Soft seating collection\n+\")\n Professionals\n We have gathered all our contract and professionals furniture and design interior to make it as easy for you as possible.\n Explore the univers here.\n@@ -34,7 +36,7 @@\n [\n ### Aw26 Collection - Creating new traditions\n AW26 collection](https://andersen-furniture.com/aw26-collection/)\n-[\n+[\")\n ### Gentle geometry - shelf collection\n Shelf collection – Gentle Geometry](https://andersen-furniture.com/shelf-collection-gentle-geometry/)\n [",
"company": {
"id": "016325b7-1fef-70ff-bf0c-e48b81848d92",
"type": "company",
"domain": "andersen-furniture.com",
"name": "Andersen Furniture A/S",
"ticker": null
},
"events": [
{
"id": "01a1b220-41bb-7914-96eb-13db559fcbad",
"category": "product_launch",
"headline": "Launches AW26 collection",
"summary": "Launched the Autumn Winter 2026 collection, featuring new furniture and soft seating pieces.",
"added_evidence": "\")",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T15:01:50Z"
},
{
"id": "01a1b21e-83f2-7b17-b681-aa2f68c73eb0",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -41,6 +41,10 @@\n News\n See all news\n [\n+18 October 2026\n+### Euca wins Boutique Development Award\n+Read More](https://centina.com.au/2026/10/euca-wins-2026-udia-sa-boutique-development-award/)\n+[\n 23 June 2026\n ### 10 Year Commendation\n Read More](https://centina.com.au/2026/06/10yr-commendation/)\n@@ -48,9 +52,5 @@\n 15 June 2026\n ### Building Women Tour\n Read More](https://centina.com.au/2026/06/building-women-tour/)\n-[\n-20 May 2026\n-### Churchill Welcomes New Entertainment Hub\n-Read More](https://centina.com.au/2026/05/churchill-welcomes-new-entertainment-hub/)\n Our Partners\n Sign up to receive the latest news",
"company": {
"id": "016325b9-0272-7db8-a008-152bb61d7f3a",
"type": "company",
"domain": "centina.com.au",
"name": "Centina",
"ticker": null
},
"events": [
{
"id": "01a1b220-41ba-79b8-9ba9-3d791cc98fd7",
"category": "recognition",
"headline": "Euca wins Boutique Development Award",
"summary": "Won the Boutique Development Award for Euca.",
"added_evidence": "### Euca wins Boutique Development Award",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T16:12:55Z"
}
],
"meta": {
"schema_version": "4.4",
"record_state": "active"
}
}Invalid request body or parameters.
{
"error": {
"type": "bad_request",
"message": "..."
}
}Authentication credentials are invalid or API subscription is not activated.
{
"error": {
"type": "unauthorized",
"message": "..."
}
}Exceeded the monthly request limit.
{
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}Request rate over limit.
{
"error": {
"type": "forbidden",
"message": "..."
}
}Record not found.
{
"error": {
"type": "not_found",
"message": "..."
}
}Provided data failed to validate.
{
"error": {
"type": "unprocessable_content",
"message": "..."
}
}Too many requests.
{
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}Internal server error.
{
"error": {
"type": "internal_server_error",
"message": "..."
}
}Service temporarily unavailable.
{
"error": {
"type": "service_unavailable",
"message": "..."
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "WebsiteChangesDataset",
"summary": "Information about meaningful changes detected on a company's website over time.\n",
"description": "PredictLeads tracks how company websites change by comparing subpage content snapshots over time.\nThe Website Changes dataset exposes detected changes, including the raw markdown\ndifference and a structured AI rationale explaining the operational or commercial significance of each change.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "WebsiteChange",
"description": "The `WebsiteChange` object.",
"type": "object",
"required": [
"id",
"type",
"markdown_difference",
"events",
"detected_at",
"first_seen_at",
"company"
],
"properties": {
"id": {
"description": "ID of the `WebsiteChange` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "website_change"
},
"markdown_difference": {
"description": "Raw textual difference between the two subpage content snapshots.",
"type": "string"
},
"events": {
"description": "Business-change events detected in this diff.",
"type": "array",
"items": {
"type": "object",
"required": [
"id",
"category",
"importance",
"added_evidence",
"removed_evidence",
"evidence_type"
],
"properties": {
"id": {
"description": "ID of the `WebsiteChange` object.",
"type": "string",
"format": "uuid"
},
"category": {
"description": "The type of business change detected.",
"oneOf": [
{
"const": "strategic_pivot",
"description": "The core value proposition or positioning changed."
},
{
"const": "audience_change",
"description": "The target audience or market focus shifted."
},
{
"const": "product_launch",
"description": "A new product/service launched, overhauled, or sunset."
},
{
"const": "pricing_restructure",
"description": "Pricing model, tiers, or plans changed."
},
{
"const": "leadership_change",
"description": "A board or C-suite/executive change."
},
{
"const": "acquisition",
"description": "The company acquired another, or was itself acquired."
},
{
"const": "merger",
"description": "Two companies combined into a single entity."
},
{
"const": "spin_off",
"description": "A business separated out of its parent into an independent company."
},
{
"const": "asset_sale",
"description": "The company sold a business, subsidiary, or other assets such as property to a buyer."
},
{
"const": "financing_event",
"description": "A funding round or financing event."
},
{
"const": "public_listing",
"description": "An IPO filing, planned stock listing, or recent public listing."
},
{
"const": "exchange_delisting",
"description": "The company's shares were delisted from a stock exchange."
},
{
"const": "partnership",
"description": "A new business partnership announced."
},
{
"const": "integration",
"description": "A new integration with a named product or platform."
},
{
"const": "investor_identified",
"description": "A named investor or backer disclosed."
},
{
"const": "customer_identified",
"description": "A new named customer or client win announced."
},
{
"const": "new_office",
"description": "A new office, facility, or location opened."
},
{
"const": "market_entry",
"description": "A new market, geography, or segment entered."
},
{
"const": "operational_restructuring",
"description": "The company closed a site, cut staff, or left a product line or market."
},
{
"const": "recognition",
"description": "An award, certification, or notable recognition."
},
{
"const": "attends_event",
"description": "The company attends, sponsors, or hosts a named industry event."
},
{
"const": "winding_down",
"description": "The company is shutting down or ceasing operations."
},
{
"const": "other",
"description": "A significant business event that fits none of the other categories."
}
]
},
"headline": {
"description": "A short human-readable summary of the event.",
"type": "string"
},
"summary": {
"description": "The headline extended with the specifics behind it, in one sentence.",
"type": "string"
},
"added_evidence": {
"description": "The cited added lines the event rests on, verbatim, joined in page order. Cited lines need not be adjacent on the page. Null when no added line was cited.",
"type": [
"string",
"null"
]
},
"removed_evidence": {
"description": "The cited removed lines the event rests on, verbatim, joined in page order. Cited lines need not be adjacent on the page. Null when no removed line was cited.",
"type": [
"string",
"null"
]
},
"evidence_type": {
"description": "Which sides of the change the evidence was taken from.",
"oneOf": [
{
"const": "added_text",
"description": "Only text added to the page in this change."
},
{
"const": "removed_text",
"description": "Only text removed from the page in this change, such as a product being sunset."
},
{
"const": "replaced_text",
"description": "Text removed from the page together with the text that replaced it."
}
]
},
"importance": {
"description": "Importance of the event, from 1 to 10. A low score is a minor change with limited business impact, a middling one a notable change worth monitoring, and a high one a significant change indicating major company activity.",
"type": "integer",
"minimum": 1,
"maximum": 10
}
}
}
},
"detected_at": {
"description": "Date & time (ISO 8601) when the change was detected, which is when the two snapshots were compared.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"first_seen_at": {
"description": "Date & time (ISO 8601) when the newer of the two snapshots was captured, which is the closest bound on when the change happened.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"company": {
"title": "Company",
"description": "The company this change is about.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
}
}
},
"meta": {
"description": "Meta information about `WebsiteChangesDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "01a1b227-8ab6-7808-9e20-a6a00c9394dd",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -2,7 +2,13 @@\n The Finnish Dutch Chamber of Commerce is a unique non-profit organization for Finnish-Dutch relations with business content.\n Learn More\n UPCOMING EVENTS\n-There are no upcoming events at this time\n+[11\n+December\n+2026](https://fdcc.eu/event/fdcc-independence-day-dinner-2026/)\n+FDCC Independence Day Dinner 2026\n+18:00 - 22:00\n+The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]\n+Find out more\n OUR PATRON MEMBERS\n \")\")\n \")\")",
"company": {
"id": "016325cd-8c8b-7870-a38a-3dd1ce71e484",
"type": "company",
"domain": "fdcc.eu",
"name": "Finnish Dutch Chamber of Commerce",
"ticker": null
},
"events": [
{
"id": "01a1b229-4846-7712-aec1-8f8cbdf239ec",
"category": "attends_event",
"headline": "Hosts Independence Day Dinner 2026",
"summary": "Announced the FDCC Independence Day Dinner 2026, to be held 11 December 2026 at The College Hotel in Amsterdam.",
"added_evidence": "FDCC Independence Day Dinner 2026 The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-06T01:22:10Z"
},
{
"id": "01a1b227-8aba-71a1-9e8e-cdab8bb302e6",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -104,7 +104,7 @@\n International Collaborations\n Events\n [\n-### Where Experience Met Aspiration: Dr. Chandni Kapadia Decodes a Conversation with CA Aniket Talati on Success](events-where-experience-met-aspiration.html)\n+### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)\n [\n ### GLS University Hosts Special Episode of “Decoded with Dr. Chandni Kapadia” Featuring International Tax Expert Shri Mukesh Patel](events-shri-mukesh-patel-decoded.html)\n [\n@@ -122,11 +122,12 @@\n #### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute. This programme marks a monumental development for India’s creative media education sector.\n Read More\n-#### Dr. Ram Madhav graced the event “Shatranj”.\n-Dr. Ram Madhav faced the event “Shatranj” as the chief guest and inspired the students with his enlightening speech on “Building new India - Innovation and Creativity as Benchmark”.\n-#### GLS University Joins Forces with Leeds Beckett University for Global Bachelor’s Program\n-In order to revolutionise the global education system for international students, GLS University will establish a partnership with Leeds Beckett University (LBU) to provide bachelor's degree programmes\n-Read More\n #### GLS University and Ahmedabad School Management Association Spearhead One-Day Education Conclave on Shaping the Education Landscape\n Ahmedabad, February 27, 2024: GLS University, in collaboration with the Ahmedabad School Management Association (ASMA), successfully organised a one-day education conclave dedicated\n+#### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n+GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute.\n Read More\n+#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada\n+The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.\n+Read More\n+####",
"company": {
"id": "016325cc-c2af-70f0-94dc-b0e78c0859ab",
"type": "company",
"domain": "glsuniversity.ac.in",
"name": "GLS University",
"ticker": null
},
"events": [
{
"id": "01a1b22b-1ef9-7896-8b6e-0c1f843b2587",
"category": "attends_event",
"headline": "Hosts IGNITOR MUN 5.0",
"summary": "Hosted IGNITOR MUN 5.0, a named event focused on experiential learning, innovation and young leadership.",
"added_evidence": "### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
},
{
"id": "01a1b22b-1efa-7215-a73f-08bee197c095",
"category": "partnership",
"headline": "Signs MoU with Seneca Polytechnic",
"summary": "Signed an MoU with Seneca Polytechnic, Canada, inaugurating a global programme between the two institutions on 29 March 2025.",
"added_evidence": "#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-05T14:32:39Z"
},
{
"id": "01a1b223-1047-7195-8c0a-c820342aa8db",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,7 +1,7 @@\n We present\n our news\n-Flying Tiger Copenhagen leases nearly 300 m2 in the Mall of Berlin. Learn more ...\n-dsb Deutsche Sanierungsberatung GmbH leases office space for its new corporate headquarters at Schultheiss Quartier. Learn more ...\n+New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.\n+Activate – an interactive gaming experience at the Mall of Berlin. Learn more ...\n We love\n to develop properties\n The Name **HGHI** has always stood for professional management of large commercial properties, efficient management at the highest level, and the planning, design and realization of great visions.\n@@ -10,11 +10,13 @@\n responsible planning of projects for the environment and the social community.\n The tenants as well as the social environment will benefit from the responsible development of the newly built living and working spaces.\n Projects\n-### Potsdamer Straße 163/165\n-Learn more\n ### Mall of Berlin\n Learn more\n ### Schultheiss Quartier\n+Learn more\n+### Tegel Quartier\n+Learn more\n+### Sankt Annen Galerie\n Learn more\n We create\n sustainable added value through the development of real estate projects",
"company": {
"id": "016325c5-03ff-78a6-96dc-116911e36789",
"type": "company",
"domain": "hghi.de",
"name": "HGHI Holding",
"ticker": null
},
"events": [
{
"id": "01a1b22a-2867-7c4a-807d-2a6a486ec305",
"category": "customer_identified",
"headline": "Signs New Yorker for Mall of Berlin",
"summary": "Signed New Yorker to a 3,000 sq m store across three floors at Mall of Berlin starting September 2026.",
"added_evidence": "New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:33:24Z",
"first_seen_at": "2026-11-05T12:59:59Z"
},
{
"id": "01a1b21e-83ec-7c99-ab00-69e75a1e0e14",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,3 +1,4 @@\n+\")\n Creating new tradition - new AW26 collection\n Andersen Furniture welcomes you into a universe where the new meets the classic, and where every detail tells its own story. In our Autumn Winter 2026 collection, we explore materials in new ways – wood, metal, and stone come together in beautiful objects, where craftsmanship meets contemporary design.\n Each piece celebrates the unique and the personal. No detail is identical, as we believe it is in diversity that a home finds its character. The collection embraces variety and creates space for everyone – regardless of style, needs, or taste.\n@@ -26,6 +27,7 @@\n Each piece is carefully designed to balance aesthetics, comfort, and functionality — contributing to spaces that feel welcoming, purposeful, and timeless.\n Rooted in the moments where people gather, exchange ideas, and create connections, the collection celebrates the interaction between materials, forms, and people. The collection reflects a shared vision of creating furniture that naturally brings people together and strengthens the feeling of connection and belonging.\n Soft seating collection\n+\")\n Professionals\n We have gathered all our contract and professionals furniture and design interior to make it as easy for you as possible.\n Explore the univers here.\n@@ -34,7 +36,7 @@\n [\n ### Aw26 Collection - Creating new traditions\n AW26 collection](https://andersen-furniture.com/aw26-collection/)\n-[\n+[\")\n ### Gentle geometry - shelf collection\n Shelf collection – Gentle Geometry](https://andersen-furniture.com/shelf-collection-gentle-geometry/)\n [",
"company": {
"id": "016325b7-1fef-70ff-bf0c-e48b81848d92",
"type": "company",
"domain": "andersen-furniture.com",
"name": "Andersen Furniture A/S",
"ticker": null
},
"events": [
{
"id": "01a1b220-41bb-7914-96eb-13db559fcbad",
"category": "product_launch",
"headline": "Launches AW26 collection",
"summary": "Launched the Autumn Winter 2026 collection, featuring new furniture and soft seating pieces.",
"added_evidence": "\")",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T15:01:50Z"
},
{
"id": "01a1b21e-83f2-7b17-b681-aa2f68c73eb0",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -41,6 +41,10 @@\n News\n See all news\n [\n+18 October 2026\n+### Euca wins Boutique Development Award\n+Read More](https://centina.com.au/2026/10/euca-wins-2026-udia-sa-boutique-development-award/)\n+[\n 23 June 2026\n ### 10 Year Commendation\n Read More](https://centina.com.au/2026/06/10yr-commendation/)\n@@ -48,9 +52,5 @@\n 15 June 2026\n ### Building Women Tour\n Read More](https://centina.com.au/2026/06/building-women-tour/)\n-[\n-20 May 2026\n-### Churchill Welcomes New Entertainment Hub\n-Read More](https://centina.com.au/2026/05/churchill-welcomes-new-entertainment-hub/)\n Our Partners\n Sign up to receive the latest news",
"company": {
"id": "016325b9-0272-7db8-a008-152bb61d7f3a",
"type": "company",
"domain": "centina.com.au",
"name": "Centina",
"ticker": null
},
"events": [
{
"id": "01a1b220-41ba-79b8-9ba9-3d791cc98fd7",
"category": "recognition",
"headline": "Euca wins Boutique Development Award",
"summary": "Won the Boutique Development Award for Euca.",
"added_evidence": "### Euca wins Boutique Development Award",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T16:12:55Z"
}
],
"meta": {
"schema_version": "4.4",
"record_state": "active"
}
}
}{
"description": "Bad request.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `BadRequestError` object.",
"const": "bad_request"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "bad_request",
"message": "..."
}
}
}{
"description": "Unauthorized.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnauthorizedError` object.",
"const": "unauthorized"
},
"message": {
"description": "Error message.",
"type": "string",
"const": "Authentication failed"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unauthorized",
"message": "..."
}
}
}{
"description": "Payment required.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `PaymentRequiredError` object.",
"const": "payment_required"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}
}{
"description": "Forbidden.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ForbiddenError` object.",
"const": "forbidden"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "forbidden",
"message": "..."
}
}
}{
"description": "Not found.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `NotFoundError` object.",
"const": "not_found"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "not_found",
"message": "..."
}
}
}{
"description": "Unprocessable content.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnprocessableContentError` object.",
"const": "unprocessable_content"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unprocessable_content",
"message": "..."
}
}
}{
"description": "Too many requests.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `TooManyRequestsError` object.",
"const": "too_many_requests"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}
}{
"description": "Internal server error.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `InternalServerError` object.",
"const": "internal_server_error"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "internal_server_error",
"message": "..."
}
}
}{
"description": "Service unavailable.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ServiceUnavailableError` object.",
"const": "service_unavailable"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "service_unavailable",
"message": "..."
}
}
}Returns a list of website changes from all companies, newest first. A change is returned only if one of its events matches all filters.
GET
https://predictleads.com/api/v4/discover/website_changes
| Query Parameters | |||
|
|
|||
|
|
|||
|
|
|||
|
Items
string
|
|||
|
One of
(23 total)
|
|||
string
Constant:
"strategic_pivot"
|
|||
string
Constant:
"audience_change"
|
|||
string
Constant:
"product_launch"
|
|||
string
Constant:
"pricing_restructure"
|
|||
string
Constant:
"leadership_change"
|
|||
string
Constant:
"acquisition"
|
|||
string
Constant:
"merger"
|
|||
string
Constant:
"spin_off"
|
|||
string
Constant:
"asset_sale"
|
|||
string
Constant:
"financing_event"
|
|||
string
Constant:
"public_listing"
|
|||
string
Constant:
"exchange_delisting"
|
|||
string
Constant:
"partnership"
|
|||
string
Constant:
"integration"
|
|||
string
Constant:
"investor_identified"
|
|||
string
Constant:
"customer_identified"
|
|||
string
Constant:
"new_office"
|
|||
string
Constant:
"market_entry"
|
|||
string
Constant:
"operational_restructuring"
|
|||
string
Constant:
"recognition"
|
|||
string
Constant:
"attends_event"
|
|||
string
Constant:
"winding_down"
|
|||
string
Constant:
"other"
|
|||
|
|
|||
|
|
|||
|
|
|||
|
|
|||
curl --request GET \
--url https://predictleads.com/api/v4/discover/website_changes \
--header 'X-Api-Key: {your_api_key}' --header 'X-Api-Token: {your_api_token}'import http.client
conn = http.client.HTTPSConnection("predictleads.com")
headers = {'X-Api-Key': "{your_api_key}", 'X-Api-Token': "{your_api_token}"}
conn.request("GET", "/api/v4/discover/website_changes", headers=headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))Request was successfully processed.
{
"data": [
{
"id": "01a1b227-8ab6-7808-9e20-a6a00c9394dd",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -2,7 +2,13 @@\n The Finnish Dutch Chamber of Commerce is a unique non-profit organization for Finnish-Dutch relations with business content.\n Learn More\n UPCOMING EVENTS\n-There are no upcoming events at this time\n+[11\n+December\n+2026](https://fdcc.eu/event/fdcc-independence-day-dinner-2026/)\n+FDCC Independence Day Dinner 2026\n+18:00 - 22:00\n+The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]\n+Find out more\n OUR PATRON MEMBERS\n \")\")\n \")\")",
"company": {
"id": "016325cd-8c8b-7870-a38a-3dd1ce71e484",
"type": "company",
"domain": "fdcc.eu",
"name": "Finnish Dutch Chamber of Commerce",
"ticker": null
},
"events": [
{
"id": "01a1b229-4846-7712-aec1-8f8cbdf239ec",
"category": "attends_event",
"headline": "Hosts Independence Day Dinner 2026",
"summary": "Announced the FDCC Independence Day Dinner 2026, to be held 11 December 2026 at The College Hotel in Amsterdam.",
"added_evidence": "FDCC Independence Day Dinner 2026 The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-06T01:22:10Z"
},
{
"id": "01a1b227-8aba-71a1-9e8e-cdab8bb302e6",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -104,7 +104,7 @@\n International Collaborations\n Events\n [\n-### Where Experience Met Aspiration: Dr. Chandni Kapadia Decodes a Conversation with CA Aniket Talati on Success](events-where-experience-met-aspiration.html)\n+### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)\n [\n ### GLS University Hosts Special Episode of “Decoded with Dr. Chandni Kapadia” Featuring International Tax Expert Shri Mukesh Patel](events-shri-mukesh-patel-decoded.html)\n [\n@@ -122,11 +122,12 @@\n #### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute. This programme marks a monumental development for India’s creative media education sector.\n Read More\n-#### Dr. Ram Madhav graced the event “Shatranj”.\n-Dr. Ram Madhav faced the event “Shatranj” as the chief guest and inspired the students with his enlightening speech on “Building new India - Innovation and Creativity as Benchmark”.\n-#### GLS University Joins Forces with Leeds Beckett University for Global Bachelor’s Program\n-In order to revolutionise the global education system for international students, GLS University will establish a partnership with Leeds Beckett University (LBU) to provide bachelor's degree programmes\n-Read More\n #### GLS University and Ahmedabad School Management Association Spearhead One-Day Education Conclave on Shaping the Education Landscape\n Ahmedabad, February 27, 2024: GLS University, in collaboration with the Ahmedabad School Management Association (ASMA), successfully organised a one-day education conclave dedicated\n+#### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n+GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute.\n Read More\n+#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada\n+The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.\n+Read More\n+####",
"company": {
"id": "016325cc-c2af-70f0-94dc-b0e78c0859ab",
"type": "company",
"domain": "glsuniversity.ac.in",
"name": "GLS University",
"ticker": null
},
"events": [
{
"id": "01a1b22b-1ef9-7896-8b6e-0c1f843b2587",
"category": "attends_event",
"headline": "Hosts IGNITOR MUN 5.0",
"summary": "Hosted IGNITOR MUN 5.0, a named event focused on experiential learning, innovation and young leadership.",
"added_evidence": "### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
},
{
"id": "01a1b22b-1efa-7215-a73f-08bee197c095",
"category": "partnership",
"headline": "Signs MoU with Seneca Polytechnic",
"summary": "Signed an MoU with Seneca Polytechnic, Canada, inaugurating a global programme between the two institutions on 29 March 2025.",
"added_evidence": "#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-05T14:32:39Z"
},
{
"id": "01a1b223-1047-7195-8c0a-c820342aa8db",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,7 +1,7 @@\n We present\n our news\n-Flying Tiger Copenhagen leases nearly 300 m2 in the Mall of Berlin. Learn more ...\n-dsb Deutsche Sanierungsberatung GmbH leases office space for its new corporate headquarters at Schultheiss Quartier. Learn more ...\n+New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.\n+Activate – an interactive gaming experience at the Mall of Berlin. Learn more ...\n We love\n to develop properties\n The Name **HGHI** has always stood for professional management of large commercial properties, efficient management at the highest level, and the planning, design and realization of great visions.\n@@ -10,11 +10,13 @@\n responsible planning of projects for the environment and the social community.\n The tenants as well as the social environment will benefit from the responsible development of the newly built living and working spaces.\n Projects\n-### Potsdamer Straße 163/165\n-Learn more\n ### Mall of Berlin\n Learn more\n ### Schultheiss Quartier\n+Learn more\n+### Tegel Quartier\n+Learn more\n+### Sankt Annen Galerie\n Learn more\n We create\n sustainable added value through the development of real estate projects",
"company": {
"id": "016325c5-03ff-78a6-96dc-116911e36789",
"type": "company",
"domain": "hghi.de",
"name": "HGHI Holding",
"ticker": null
},
"events": [
{
"id": "01a1b22a-2867-7c4a-807d-2a6a486ec305",
"category": "customer_identified",
"headline": "Signs New Yorker for Mall of Berlin",
"summary": "Signed New Yorker to a 3,000 sq m store across three floors at Mall of Berlin starting September 2026.",
"added_evidence": "New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:33:24Z",
"first_seen_at": "2026-11-05T12:59:59Z"
},
{
"id": "01a1b21e-83ec-7c99-ab00-69e75a1e0e14",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,3 +1,4 @@\n+\")\n Creating new tradition - new AW26 collection\n Andersen Furniture welcomes you into a universe where the new meets the classic, and where every detail tells its own story. In our Autumn Winter 2026 collection, we explore materials in new ways – wood, metal, and stone come together in beautiful objects, where craftsmanship meets contemporary design.\n Each piece celebrates the unique and the personal. No detail is identical, as we believe it is in diversity that a home finds its character. The collection embraces variety and creates space for everyone – regardless of style, needs, or taste.\n@@ -26,6 +27,7 @@\n Each piece is carefully designed to balance aesthetics, comfort, and functionality — contributing to spaces that feel welcoming, purposeful, and timeless.\n Rooted in the moments where people gather, exchange ideas, and create connections, the collection celebrates the interaction between materials, forms, and people. The collection reflects a shared vision of creating furniture that naturally brings people together and strengthens the feeling of connection and belonging.\n Soft seating collection\n+\")\n Professionals\n We have gathered all our contract and professionals furniture and design interior to make it as easy for you as possible.\n Explore the univers here.\n@@ -34,7 +36,7 @@\n [\n ### Aw26 Collection - Creating new traditions\n AW26 collection](https://andersen-furniture.com/aw26-collection/)\n-[\n+[\")\n ### Gentle geometry - shelf collection\n Shelf collection – Gentle Geometry](https://andersen-furniture.com/shelf-collection-gentle-geometry/)\n [",
"company": {
"id": "016325b7-1fef-70ff-bf0c-e48b81848d92",
"type": "company",
"domain": "andersen-furniture.com",
"name": "Andersen Furniture A/S",
"ticker": null
},
"events": [
{
"id": "01a1b220-41bb-7914-96eb-13db559fcbad",
"category": "product_launch",
"headline": "Launches AW26 collection",
"summary": "Launched the Autumn Winter 2026 collection, featuring new furniture and soft seating pieces.",
"added_evidence": "\")",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T15:01:50Z"
},
{
"id": "01a1b21e-83f2-7b17-b681-aa2f68c73eb0",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -41,6 +41,10 @@\n News\n See all news\n [\n+18 October 2026\n+### Euca wins Boutique Development Award\n+Read More](https://centina.com.au/2026/10/euca-wins-2026-udia-sa-boutique-development-award/)\n+[\n 23 June 2026\n ### 10 Year Commendation\n Read More](https://centina.com.au/2026/06/10yr-commendation/)\n@@ -48,9 +52,5 @@\n 15 June 2026\n ### Building Women Tour\n Read More](https://centina.com.au/2026/06/building-women-tour/)\n-[\n-20 May 2026\n-### Churchill Welcomes New Entertainment Hub\n-Read More](https://centina.com.au/2026/05/churchill-welcomes-new-entertainment-hub/)\n Our Partners\n Sign up to receive the latest news",
"company": {
"id": "016325b9-0272-7db8-a008-152bb61d7f3a",
"type": "company",
"domain": "centina.com.au",
"name": "Centina",
"ticker": null
},
"events": [
{
"id": "01a1b220-41ba-79b8-9ba9-3d791cc98fd7",
"category": "recognition",
"headline": "Euca wins Boutique Development Award",
"summary": "Won the Boutique Development Award for Euca.",
"added_evidence": "### Euca wins Boutique Development Award",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T16:12:55Z"
}
],
"meta": {
"schema_version": "4.4",
"record_state": "active"
}
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}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "WebsiteChangesDataset",
"summary": "Information about meaningful changes detected on a company's website over time.\n",
"description": "PredictLeads tracks how company websites change by comparing subpage content snapshots over time.\nThe Website Changes dataset exposes detected changes, including the raw markdown\ndifference and a structured AI rationale explaining the operational or commercial significance of each change.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "WebsiteChange",
"description": "The `WebsiteChange` object.",
"type": "object",
"required": [
"id",
"type",
"markdown_difference",
"events",
"detected_at",
"first_seen_at",
"company"
],
"properties": {
"id": {
"description": "ID of the `WebsiteChange` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "website_change"
},
"markdown_difference": {
"description": "Raw textual difference between the two subpage content snapshots.",
"type": "string"
},
"events": {
"description": "Business-change events detected in this diff.",
"type": "array",
"items": {
"type": "object",
"required": [
"id",
"category",
"importance",
"added_evidence",
"removed_evidence",
"evidence_type"
],
"properties": {
"id": {
"description": "ID of the `WebsiteChange` object.",
"type": "string",
"format": "uuid"
},
"category": {
"description": "The type of business change detected.",
"oneOf": [
{
"const": "strategic_pivot",
"description": "The core value proposition or positioning changed."
},
{
"const": "audience_change",
"description": "The target audience or market focus shifted."
},
{
"const": "product_launch",
"description": "A new product/service launched, overhauled, or sunset."
},
{
"const": "pricing_restructure",
"description": "Pricing model, tiers, or plans changed."
},
{
"const": "leadership_change",
"description": "A board or C-suite/executive change."
},
{
"const": "acquisition",
"description": "The company acquired another, or was itself acquired."
},
{
"const": "merger",
"description": "Two companies combined into a single entity."
},
{
"const": "spin_off",
"description": "A business separated out of its parent into an independent company."
},
{
"const": "asset_sale",
"description": "The company sold a business, subsidiary, or other assets such as property to a buyer."
},
{
"const": "financing_event",
"description": "A funding round or financing event."
},
{
"const": "public_listing",
"description": "An IPO filing, planned stock listing, or recent public listing."
},
{
"const": "exchange_delisting",
"description": "The company's shares were delisted from a stock exchange."
},
{
"const": "partnership",
"description": "A new business partnership announced."
},
{
"const": "integration",
"description": "A new integration with a named product or platform."
},
{
"const": "investor_identified",
"description": "A named investor or backer disclosed."
},
{
"const": "customer_identified",
"description": "A new named customer or client win announced."
},
{
"const": "new_office",
"description": "A new office, facility, or location opened."
},
{
"const": "market_entry",
"description": "A new market, geography, or segment entered."
},
{
"const": "operational_restructuring",
"description": "The company closed a site, cut staff, or left a product line or market."
},
{
"const": "recognition",
"description": "An award, certification, or notable recognition."
},
{
"const": "attends_event",
"description": "The company attends, sponsors, or hosts a named industry event."
},
{
"const": "winding_down",
"description": "The company is shutting down or ceasing operations."
},
{
"const": "other",
"description": "A significant business event that fits none of the other categories."
}
]
},
"headline": {
"description": "A short human-readable summary of the event.",
"type": "string"
},
"summary": {
"description": "The headline extended with the specifics behind it, in one sentence.",
"type": "string"
},
"added_evidence": {
"description": "The cited added lines the event rests on, verbatim, joined in page order. Cited lines need not be adjacent on the page. Null when no added line was cited.",
"type": [
"string",
"null"
]
},
"removed_evidence": {
"description": "The cited removed lines the event rests on, verbatim, joined in page order. Cited lines need not be adjacent on the page. Null when no removed line was cited.",
"type": [
"string",
"null"
]
},
"evidence_type": {
"description": "Which sides of the change the evidence was taken from.",
"oneOf": [
{
"const": "added_text",
"description": "Only text added to the page in this change."
},
{
"const": "removed_text",
"description": "Only text removed from the page in this change, such as a product being sunset."
},
{
"const": "replaced_text",
"description": "Text removed from the page together with the text that replaced it."
}
]
},
"importance": {
"description": "Importance of the event, from 1 to 10. A low score is a minor change with limited business impact, a middling one a notable change worth monitoring, and a high one a significant change indicating major company activity.",
"type": "integer",
"minimum": 1,
"maximum": 10
}
}
}
},
"detected_at": {
"description": "Date & time (ISO 8601) when the change was detected, which is when the two snapshots were compared.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"first_seen_at": {
"description": "Date & time (ISO 8601) when the newer of the two snapshots was captured, which is the closest bound on when the change happened.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"company": {
"title": "Company",
"description": "The company this change is about.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
}
}
},
"meta": {
"description": "Meta information about `WebsiteChangesDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "01a1b227-8ab6-7808-9e20-a6a00c9394dd",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -2,7 +2,13 @@\n The Finnish Dutch Chamber of Commerce is a unique non-profit organization for Finnish-Dutch relations with business content.\n Learn More\n UPCOMING EVENTS\n-There are no upcoming events at this time\n+[11\n+December\n+2026](https://fdcc.eu/event/fdcc-independence-day-dinner-2026/)\n+FDCC Independence Day Dinner 2026\n+18:00 - 22:00\n+The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]\n+Find out more\n OUR PATRON MEMBERS\n \")\")\n \")\")",
"company": {
"id": "016325cd-8c8b-7870-a38a-3dd1ce71e484",
"type": "company",
"domain": "fdcc.eu",
"name": "Finnish Dutch Chamber of Commerce",
"ticker": null
},
"events": [
{
"id": "01a1b229-4846-7712-aec1-8f8cbdf239ec",
"category": "attends_event",
"headline": "Hosts Independence Day Dinner 2026",
"summary": "Announced the FDCC Independence Day Dinner 2026, to be held 11 December 2026 at The College Hotel in Amsterdam.",
"added_evidence": "FDCC Independence Day Dinner 2026 The FDCC Independence Day Dinner 2026 11 December 2026 | 18:00–22:00 The College Hotel in Amsterdam (Roelof Hartstraat 1, 1071 VE Amsterdam) Business Casual The Finnish-Dutch Chamber of Commerce is pleased to invite our members to a special evening celebrating Finnish Independence Day. On Friday, 11 December 2026, we will gather at the elegant [...]",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-06T01:22:10Z"
},
{
"id": "01a1b227-8aba-71a1-9e8e-cdab8bb302e6",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -104,7 +104,7 @@\n International Collaborations\n Events\n [\n-### Where Experience Met Aspiration: Dr. Chandni Kapadia Decodes a Conversation with CA Aniket Talati on Success](events-where-experience-met-aspiration.html)\n+### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)\n [\n ### GLS University Hosts Special Episode of “Decoded with Dr. Chandni Kapadia” Featuring International Tax Expert Shri Mukesh Patel](events-shri-mukesh-patel-decoded.html)\n [\n@@ -122,11 +122,12 @@\n #### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute. This programme marks a monumental development for India’s creative media education sector.\n Read More\n-#### Dr. Ram Madhav graced the event “Shatranj”.\n-Dr. Ram Madhav faced the event “Shatranj” as the chief guest and inspired the students with his enlightening speech on “Building new India - Innovation and Creativity as Benchmark”.\n-#### GLS University Joins Forces with Leeds Beckett University for Global Bachelor’s Program\n-In order to revolutionise the global education system for international students, GLS University will establish a partnership with Leeds Beckett University (LBU) to provide bachelor's degree programmes\n-Read More\n #### GLS University and Ahmedabad School Management Association Spearhead One-Day Education Conclave on Shaping the Education Landscape\n Ahmedabad, February 27, 2024: GLS University, in collaboration with the Ahmedabad School Management Association (ASMA), successfully organised a one-day education conclave dedicated\n+#### GLS University in Partnership with SAE Institute Launches India’s First and Only Global B.Design (Hons.) Programme in Animation & VFX and Game Development\n+GLS University proudly announces the launch of its Global B.Design (Hons.) Programme, delivered in partnership with the globally renowned SAE Institute.\n Read More\n+#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada\n+The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.\n+Read More\n+####",
"company": {
"id": "016325cc-c2af-70f0-94dc-b0e78c0859ab",
"type": "company",
"domain": "glsuniversity.ac.in",
"name": "GLS University",
"ticker": null
},
"events": [
{
"id": "01a1b22b-1ef9-7896-8b6e-0c1f843b2587",
"category": "attends_event",
"headline": "Hosts IGNITOR MUN 5.0",
"summary": "Hosted IGNITOR MUN 5.0, a named event focused on experiential learning, innovation and young leadership.",
"added_evidence": "### GLS University Hosts IGNITOR MUN 5.0, Celebrating Experiential Learning, Innovation and Young Leadership](events-hosts-IGNITOR-MUN-5-celebrating.html)",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
},
{
"id": "01a1b22b-1efa-7215-a73f-08bee197c095",
"category": "partnership",
"headline": "Signs MoU with Seneca Polytechnic",
"summary": "Signed an MoU with Seneca Polytechnic, Canada, inaugurating a global programme between the two institutions on 29 March 2025.",
"added_evidence": "#### 1st in India and 1st in Canada: Historic MoU Exchange & Inauguration Ceremony for Global Programme Between GLS University, India and Seneca Polytechnic, Canada The MoU Exchange & Inauguration Ceremony for the Global Programme between GLS University, India, and Seneca Polytechnic, Canada, took place successfully on 29th March 2025 at GLS University.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:38:18Z",
"first_seen_at": "2026-11-05T14:32:39Z"
},
{
"id": "01a1b223-1047-7195-8c0a-c820342aa8db",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,7 +1,7 @@\n We present\n our news\n-Flying Tiger Copenhagen leases nearly 300 m2 in the Mall of Berlin. Learn more ...\n-dsb Deutsche Sanierungsberatung GmbH leases office space for its new corporate headquarters at Schultheiss Quartier. Learn more ...\n+New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.\n+Activate – an interactive gaming experience at the Mall of Berlin. Learn more ...\n We love\n to develop properties\n The Name **HGHI** has always stood for professional management of large commercial properties, efficient management at the highest level, and the planning, design and realization of great visions.\n@@ -10,11 +10,13 @@\n responsible planning of projects for the environment and the social community.\n The tenants as well as the social environment will benefit from the responsible development of the newly built living and working spaces.\n Projects\n-### Potsdamer Straße 163/165\n-Learn more\n ### Mall of Berlin\n Learn more\n ### Schultheiss Quartier\n+Learn more\n+### Tegel Quartier\n+Learn more\n+### Sankt Annen Galerie\n Learn more\n We create\n sustainable added value through the development of real estate projects",
"company": {
"id": "016325c5-03ff-78a6-96dc-116911e36789",
"type": "company",
"domain": "hghi.de",
"name": "HGHI Holding",
"ticker": null
},
"events": [
{
"id": "01a1b22a-2867-7c4a-807d-2a6a486ec305",
"category": "customer_identified",
"headline": "Signs New Yorker for Mall of Berlin",
"summary": "Signed New Yorker to a 3,000 sq m store across three floors at Mall of Berlin starting September 2026.",
"added_evidence": "New Yorker on 3 floors and 3000 m2 at the Mall of Berlin starting September 2026.",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:33:24Z",
"first_seen_at": "2026-11-05T12:59:59Z"
},
{
"id": "01a1b21e-83ec-7c99-ab00-69e75a1e0e14",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -1,3 +1,4 @@\n+\")\n Creating new tradition - new AW26 collection\n Andersen Furniture welcomes you into a universe where the new meets the classic, and where every detail tells its own story. In our Autumn Winter 2026 collection, we explore materials in new ways – wood, metal, and stone come together in beautiful objects, where craftsmanship meets contemporary design.\n Each piece celebrates the unique and the personal. No detail is identical, as we believe it is in diversity that a home finds its character. The collection embraces variety and creates space for everyone – regardless of style, needs, or taste.\n@@ -26,6 +27,7 @@\n Each piece is carefully designed to balance aesthetics, comfort, and functionality — contributing to spaces that feel welcoming, purposeful, and timeless.\n Rooted in the moments where people gather, exchange ideas, and create connections, the collection celebrates the interaction between materials, forms, and people. The collection reflects a shared vision of creating furniture that naturally brings people together and strengthens the feeling of connection and belonging.\n Soft seating collection\n+\")\n Professionals\n We have gathered all our contract and professionals furniture and design interior to make it as easy for you as possible.\n Explore the univers here.\n@@ -34,7 +36,7 @@\n [\n ### Aw26 Collection - Creating new traditions\n AW26 collection](https://andersen-furniture.com/aw26-collection/)\n-[\n+[\")\n ### Gentle geometry - shelf collection\n Shelf collection – Gentle Geometry](https://andersen-furniture.com/shelf-collection-gentle-geometry/)\n [",
"company": {
"id": "016325b7-1fef-70ff-bf0c-e48b81848d92",
"type": "company",
"domain": "andersen-furniture.com",
"name": "Andersen Furniture A/S",
"ticker": null
},
"events": [
{
"id": "01a1b220-41bb-7914-96eb-13db559fcbad",
"category": "product_launch",
"headline": "Launches AW26 collection",
"summary": "Launched the Autumn Winter 2026 collection, featuring new furniture and soft seating pieces.",
"added_evidence": "\")",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 3
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T15:01:50Z"
},
{
"id": "01a1b21e-83f2-7b17-b681-aa2f68c73eb0",
"type": "website_change",
"markdown_difference": "--- old\n+++ new\n@@ -41,6 +41,10 @@\n News\n See all news\n [\n+18 October 2026\n+### Euca wins Boutique Development Award\n+Read More](https://centina.com.au/2026/10/euca-wins-2026-udia-sa-boutique-development-award/)\n+[\n 23 June 2026\n ### 10 Year Commendation\n Read More](https://centina.com.au/2026/06/10yr-commendation/)\n@@ -48,9 +52,5 @@\n 15 June 2026\n ### Building Women Tour\n Read More](https://centina.com.au/2026/06/building-women-tour/)\n-[\n-20 May 2026\n-### Churchill Welcomes New Entertainment Hub\n-Read More](https://centina.com.au/2026/05/churchill-welcomes-new-entertainment-hub/)\n Our Partners\n Sign up to receive the latest news",
"company": {
"id": "016325b9-0272-7db8-a008-152bb61d7f3a",
"type": "company",
"domain": "centina.com.au",
"name": "Centina",
"ticker": null
},
"events": [
{
"id": "01a1b220-41ba-79b8-9ba9-3d791cc98fd7",
"category": "recognition",
"headline": "Euca wins Boutique Development Award",
"summary": "Won the Boutique Development Award for Euca.",
"added_evidence": "### Euca wins Boutique Development Award",
"removed_evidence": null,
"evidence_type": "added_text",
"importance": 2
}
],
"detected_at": "2026-11-06T18:28:26Z",
"first_seen_at": "2026-11-05T16:12:55Z"
}
],
"meta": {
"schema_version": "4.4",
"record_state": "active"
}
}
}{
"description": "Bad request.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `BadRequestError` object.",
"const": "bad_request"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "bad_request",
"message": "..."
}
}
}{
"description": "Unauthorized.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnauthorizedError` object.",
"const": "unauthorized"
},
"message": {
"description": "Error message.",
"type": "string",
"const": "Authentication failed"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unauthorized",
"message": "..."
}
}
}{
"description": "Payment required.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `PaymentRequiredError` object.",
"const": "payment_required"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}
}{
"description": "Forbidden.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ForbiddenError` object.",
"const": "forbidden"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "forbidden",
"message": "..."
}
}
}{
"description": "Not found.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `NotFoundError` object.",
"const": "not_found"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "not_found",
"message": "..."
}
}
}{
"description": "Unprocessable content.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnprocessableContentError` object.",
"const": "unprocessable_content"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unprocessable_content",
"message": "..."
}
}
}{
"description": "Too many requests.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `TooManyRequestsError` object.",
"const": "too_many_requests"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}
}{
"description": "Internal server error.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `InternalServerError` object.",
"const": "internal_server_error"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "internal_server_error",
"message": "..."
}
}
}{
"description": "Service unavailable.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ServiceUnavailableError` object.",
"const": "service_unavailable"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "service_unavailable",
"message": "..."
}
}
}Returns a list of a company’s Subpages.
GET
https://predictleads.com/api/v4/companies/{company_id_or_domain}/subpages
| Path Parameters | |||
string
|
|||
| Query Parameters | |||
|
|
|||
|
|
|||
|
|
|||
|
Items
string
One of (60 total):
|
|||
|
|
|||
|
|
|||
curl --request GET \
--url https://predictleads.com/api/v4/companies/{company_id_or_domain}/subpages \
--header 'X-Api-Key: {your_api_key}' --header 'X-Api-Token: {your_api_token}'import http.client
conn = http.client.HTTPSConnection("predictleads.com")
headers = {'X-Api-Key': "{your_api_key}", 'X-Api-Token': "{your_api_token}"}
conn.request("GET", "/api/v4/companies/{company_id_or_domain}/subpages", headers=headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))Request was successfully processed.
{
"data": [
{
"id": "0157e938-573d-777e-8813-bd7ed4ec1daf",
"type": "subpage",
"category": "about",
"url": "https://groupawheels.com/about-us",
"text_content": "About Us\n========\n\n[Home](https://groupawheels.com/)About Us\n\n[Group-A Wheels](https://groupawheels.com/)\n\nwho we *are*\n------------\n\nLocated in Lindenhurst, Long Island New York, Group-A / Autotrend is one the nation’s largest tire and wheel warehouse’s, open direct to the public. Most importantly, we are a group of enthusiasts, and we LOVE what we do!\n\nUnlike chain stores, and websites where every item is just a SKU, we pride ourselves in our depth of product and fitment knowledge. Our staff of veterans actually IS the best in the business. You will see.\n\n**In The Warehouse**\n\nOur warehouse has a large selection of tires and wheels to fit your needs AND your desires. Whether it is your car, truck, or SUV/CUV, our warehouse has the best selection of the industry’s top-quality wheel and tire brands to choose from.\n\nFounded in 1983, we have a full staff of veterans in the wheel & tire industry.\n\nPlease feel free to [call one of our tech representatives](tel:(631)%20957-3901) at any time regarding fitments for our wheels and tires regarding your car. Or better yet, if you live within the area, feel free to visit us.\n\nOur warehouse has a showroom which is open to the public, and we also have an installation center on site for our local customers.\n\n**Product Shipping**\n\nIf you do not live in the area, fear not. Our shipping department is shipping all of our products to our customers all day long from our other regional warehouses. We also provide same day shipping on all in-stock products, so our customers will receive their products as quickly as possible.\n\n**Tire & Wheel Packages**\n\nTo match your wheels, we also have a complete lineup of Tire & Wheel Packages specific for your car. Tire & Wheel Packages come mounted and dual-plane high-speed balanced on the latest mounting and balancing machines. Packages ready to be installed in the comfort of your own garage.\n\n**Your One Stop Shop**\n\nAt Group A Autotrend, we aim to become your one-stop-shop for all your premium wheel, tire, and suspension component needs. Our goal is to make the tire buying process simple, straightforward and convenient.\n\n**International Recognition**\n\nThe European market recognizes us for our specialty in Porsche, BMW, Mercedes, and Ferrari, while our unique fitments for Acura NSX, Subaru WRX, and Toyota Supra have given us notoriety in the Japanese market as well.\n\n**Complete your car with high performance suspension components**\n\nGroup A Autotrend can also complete your car’s performance with suspension components from Eibach Springs and Tokico Shocks. Please feel free to browse our extensive inventory of wheels, tires and suspension components by brand, type or vehicle make. Can’t find what you’re looking for? Pick up the phone and call one of our friendly, experienced tech representatives. We’re here to help!\n\nQuestions?\n\nIf you have any questions, or do not see something that you are looking for, please feel free to email or even call us. We would love to hear from you.\n\nCall our customer service line: 1-800-WHEEL99\n\n##### Subscribe for News and Get a Discount\n\nLoading...",
"first_seen_at": "2016-10-21T21:49:26Z",
"last_seen_at": "2025-07-25T13:55:15Z",
"last_extraction_states": [
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-16T02:29:19.788165+02:00"
}
],
"company": {
"id": "01528600-957b-760c-a127-c8b2c590bfc5",
"type": "company",
"domain": "groupawheels.com",
"name": "GroupAWheels",
"ticker": null
}
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}Invalid request body or parameters.
{
"error": {
"type": "bad_request",
"message": "..."
}
}Authentication credentials are invalid or API subscription is not activated.
{
"error": {
"type": "unauthorized",
"message": "..."
}
}Exceeded the monthly request limit.
{
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}Request rate over limit.
{
"error": {
"type": "forbidden",
"message": "..."
}
}Record not found.
{
"error": {
"type": "not_found",
"message": "..."
}
}Provided data failed to validate.
{
"error": {
"type": "unprocessable_content",
"message": "..."
}
}Too many requests.
{
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}Internal server error.
{
"error": {
"type": "internal_server_error",
"message": "..."
}
}Service temporarily unavailable.
{
"error": {
"type": "service_unavailable",
"message": "..."
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "SubpagesDataset",
"summary": "Information on how websites are structured, what kind of subpages they have, categories of subpages\n(e.g. blog, careers, about, terms...) and **cleaned text content** from these subpages in markdown format.\n",
"description": "Since 2021, PredictLeads has detected some\n709 million subpages on about\n82 million websites, with the goal\nto track how their websites are evolving through time.\n<br><br>\nThe Subpages dataset tracks when subpages such as \"about us\", \"blog\", \"careers\", \"api docs\",\n\"customer support\" etc. are added over time.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "Subpage",
"description": "The `Subpage` object.",
"type": "object",
"required": [
"id",
"type",
"category",
"url",
"text_content",
"first_seen_at",
"last_seen_at",
"last_extraction_states",
"company"
],
"properties": {
"id": {
"description": "ID of the `Subpage` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "subpage"
},
"category": {
"description": "What the subpage is about, e.g. `about`, `blog`, `jobs` or `pricing`.",
"type": "string",
"enum": [
"blog",
"news",
"press",
"about",
"leadership",
"jobs",
"facebook",
"twitter",
"linkedin",
"instagram",
"pinterest",
"contact",
"playstore",
"appstore",
"news_outlet",
"customers",
"partners",
"integrations",
"case_studies",
"portfolio",
"suppliers",
"testimonials",
"login",
"support",
"pricing",
"job_board",
"main",
"github",
"investors",
"products",
"solutions",
"status",
"demo",
"resources",
"events",
"developers",
"api",
"terms",
"privacy",
"trust",
"feedback",
"marketplace",
"store",
"community",
"retail",
"sitemap",
"webinars",
"search",
"social_media",
"updates",
"registration",
"locations",
"external_review",
"discord",
"youtube",
"tiktok",
"sec",
"review",
"subprocessors",
"changelog"
]
},
"url": {
"description": "Subpage URL.",
"type": "string",
"format": "uri"
},
"text_content": {
"description": "Text content from the subpage in markdown format. Sentences are contextually separated with new lines (\\n). Null when no content was extracted yet.",
"type": [
"string",
"null"
]
},
"first_seen_at": {
"description": "Date & time (ISO 8601) when the `Subpage` was first seen.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"last_seen_at": {
"description": "Date & time (ISO 8601) when the `Subpage` was last seen.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"last_extraction_states": {
"description": "The outcome of the latest visits to the subpage, oldest first.",
"type": "array",
"items": {
"title": "LastExtractionState",
"description": "The outcome of one visit to the subpage.",
"type": "object",
"required": [
"status",
"status_code",
"processed_at"
],
"properties": {
"status": {
"description": "Extraction status, e.g. `live` when the page answered.",
"type": "string"
},
"status_code": {
"description": "HTTP response status code, null when the request got no response.",
"type": [
"integer",
"null"
]
},
"processed_at": {
"description": "Date & time (ISO 8601) when the subpage was visited.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
}
}
}
},
"company": {
"title": "Company",
"description": "The company this subpage belongs to.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
}
}
}
},
"meta": {
"description": "Meta information about `SubpagesDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "0157e938-573d-777e-8813-bd7ed4ec1daf",
"type": "subpage",
"category": "about",
"url": "https://groupawheels.com/about-us",
"text_content": "About Us\n========\n\n[Home](https://groupawheels.com/)About Us\n\n[Group-A Wheels](https://groupawheels.com/)\n\nwho we *are*\n------------\n\nLocated in Lindenhurst, Long Island New York, Group-A / Autotrend is one the nation’s largest tire and wheel warehouse’s, open direct to the public. Most importantly, we are a group of enthusiasts, and we LOVE what we do!\n\nUnlike chain stores, and websites where every item is just a SKU, we pride ourselves in our depth of product and fitment knowledge. Our staff of veterans actually IS the best in the business. You will see.\n\n**In The Warehouse**\n\nOur warehouse has a large selection of tires and wheels to fit your needs AND your desires. Whether it is your car, truck, or SUV/CUV, our warehouse has the best selection of the industry’s top-quality wheel and tire brands to choose from.\n\nFounded in 1983, we have a full staff of veterans in the wheel & tire industry.\n\nPlease feel free to [call one of our tech representatives](tel:(631)%20957-3901) at any time regarding fitments for our wheels and tires regarding your car. Or better yet, if you live within the area, feel free to visit us.\n\nOur warehouse has a showroom which is open to the public, and we also have an installation center on site for our local customers.\n\n**Product Shipping**\n\nIf you do not live in the area, fear not. Our shipping department is shipping all of our products to our customers all day long from our other regional warehouses. We also provide same day shipping on all in-stock products, so our customers will receive their products as quickly as possible.\n\n**Tire & Wheel Packages**\n\nTo match your wheels, we also have a complete lineup of Tire & Wheel Packages specific for your car. Tire & Wheel Packages come mounted and dual-plane high-speed balanced on the latest mounting and balancing machines. Packages ready to be installed in the comfort of your own garage.\n\n**Your One Stop Shop**\n\nAt Group A Autotrend, we aim to become your one-stop-shop for all your premium wheel, tire, and suspension component needs. Our goal is to make the tire buying process simple, straightforward and convenient.\n\n**International Recognition**\n\nThe European market recognizes us for our specialty in Porsche, BMW, Mercedes, and Ferrari, while our unique fitments for Acura NSX, Subaru WRX, and Toyota Supra have given us notoriety in the Japanese market as well.\n\n**Complete your car with high performance suspension components**\n\nGroup A Autotrend can also complete your car’s performance with suspension components from Eibach Springs and Tokico Shocks. Please feel free to browse our extensive inventory of wheels, tires and suspension components by brand, type or vehicle make. Can’t find what you’re looking for? Pick up the phone and call one of our friendly, experienced tech representatives. We’re here to help!\n\nQuestions?\n\nIf you have any questions, or do not see something that you are looking for, please feel free to email or even call us. We would love to hear from you.\n\nCall our customer service line: 1-800-WHEEL99\n\n##### Subscribe for News and Get a Discount\n\nLoading...",
"first_seen_at": "2016-10-21T21:49:26Z",
"last_seen_at": "2025-07-25T13:55:15Z",
"last_extraction_states": [
{
"status": "live",
"status_code": 200,
"processed_at": "2026-08-16T02:29:19.788165+02:00"
}
],
"company": {
"id": "01528600-957b-760c-a127-c8b2c590bfc5",
"type": "company",
"domain": "groupawheels.com",
"name": "GroupAWheels",
"ticker": null
}
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}
}{
"description": "Bad request.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `BadRequestError` object.",
"const": "bad_request"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "bad_request",
"message": "..."
}
}
}{
"description": "Unauthorized.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnauthorizedError` object.",
"const": "unauthorized"
},
"message": {
"description": "Error message.",
"type": "string",
"const": "Authentication failed"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unauthorized",
"message": "..."
}
}
}{
"description": "Payment required.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `PaymentRequiredError` object.",
"const": "payment_required"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}
}{
"description": "Forbidden.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ForbiddenError` object.",
"const": "forbidden"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "forbidden",
"message": "..."
}
}
}{
"description": "Not found.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `NotFoundError` object.",
"const": "not_found"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "not_found",
"message": "..."
}
}
}{
"description": "Unprocessable content.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnprocessableContentError` object.",
"const": "unprocessable_content"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unprocessable_content",
"message": "..."
}
}
}{
"description": "Too many requests.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `TooManyRequestsError` object.",
"const": "too_many_requests"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}
}{
"description": "Internal server error.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `InternalServerError` object.",
"const": "internal_server_error"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "internal_server_error",
"message": "..."
}
}
}{
"description": "Service unavailable.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ServiceUnavailableError` object.",
"const": "service_unavailable"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "service_unavailable",
"message": "..."
}
}
}Returns a list of a company’s periodic SEC filings with the income statement each one reports.
GET
https://predictleads.com/api/v4/companies/{company_id_or_domain}/sec_financials
| Path Parameters | |||
string
|
|||
| Query Parameters | |||
|
|
|||
|
|
|||
curl --request GET \
--url https://predictleads.com/api/v4/companies/{company_id_or_domain}/sec_financials \
--header 'X-Api-Key: {your_api_key}' --header 'X-Api-Token: {your_api_token}'import http.client
conn = http.client.HTTPSConnection("predictleads.com")
headers = {'X-Api-Key': "{your_api_key}", 'X-Api-Token': "{your_api_token}"}
conn.request("GET", "/api/v4/companies/{company_id_or_domain}/sec_financials", headers=headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))Request was successfully processed.
{
"data": [
{
"id": "019d979d-32e5-7697-b63c-7b3832a364cf",
"type": "sec_financial",
"form_type": "10-K",
"filed_at": "2025-07-30",
"report_date": "2025-06-30",
"source_url": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
"company": {
"id": "01535453-2122-71a8-997d-04d3e7cc76ed",
"type": "company",
"domain": "microsoft.com",
"name": "Microsoft Corp.",
"ticker": "NASDAQ:MSFT"
},
"income_statement": {
"period_type": "annual",
"period_start_date": "2024-07-01",
"period_end_date": "2025-06-30",
"revenue": 281724000000.0,
"cost_of_revenue": 87831000000.0,
"gross_profit": 193893000000.0,
"operating_income": 128528000000.0,
"net_income": 101832000000.0
}
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}Invalid request body or parameters.
{
"error": {
"type": "bad_request",
"message": "..."
}
}Authentication credentials are invalid or API subscription is not activated.
{
"error": {
"type": "unauthorized",
"message": "..."
}
}Exceeded the monthly request limit.
{
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}Request rate over limit.
{
"error": {
"type": "forbidden",
"message": "..."
}
}Record not found.
{
"error": {
"type": "not_found",
"message": "..."
}
}Provided data failed to validate.
{
"error": {
"type": "unprocessable_content",
"message": "..."
}
}Too many requests.
{
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}Internal server error.
{
"error": {
"type": "internal_server_error",
"message": "..."
}
}Service temporarily unavailable.
{
"error": {
"type": "service_unavailable",
"message": "..."
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "SECFinancialsDataset",
"summary": "The income statement a public company reported on each of its periodic SEC filings.\n",
"description": "One record per annual (`10-K`, `20-F`, `40-F`) or quarterly (`10-Q`) SEC filing, with the figures\nfor the period it reports on. The same filing is served as a document by the\n<a href=\"https://docs.predictleads.com/guide/sec_filings_dataset\">SEC Filings</a>\ndataset, under the same `id`.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "SECFinancial",
"description": "The `SECFinancial` object.",
"type": "object",
"required": [
"id",
"type",
"form_type",
"filed_at",
"report_date",
"source_url",
"company",
"income_statement"
],
"properties": {
"id": {
"description": "ID of the `SECFinancial` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "sec_financial"
},
"form_type": {
"description": "Type of SEC form the figures were reported on.",
"type": "string",
"enum": [
"10-K",
"20-F",
"40-F",
"10-Q"
]
},
"filed_at": {
"description": "Date (ISO 8601) the filing was submitted to the SEC on.",
"type": "string",
"format": "date",
"example": "2024-09-25"
},
"report_date": {
"description": "Date (ISO 8601) the filing reports on, which is the end of the period it covers. Null when EDGAR reports the filing without one.",
"type": [
"string",
"null"
],
"format": "date",
"example": "2024-09-25"
},
"source_url": {
"description": "URL to the primary filing document on SEC EDGAR.",
"type": "string",
"format": "uri"
},
"company": {
"title": "Company",
"description": "The company that filed these figures.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"income_statement": {
"title": "IncomeStatement",
"description": "What the company earned over the period this filing reports on, in whole US dollars. Null when no figures are available for that period.",
"type": [
"object",
"null"
],
"required": [
"period_type",
"period_start_date",
"period_end_date",
"revenue",
"cost_of_revenue",
"gross_profit",
"operating_income",
"net_income"
],
"properties": {
"period_type": {
"description": "The duration these figures cover. A `10-Q` reports a quarter; a `10-K`, `20-F` or `40-F` reports a fiscal year.",
"type": "string",
"enum": [
"annual",
"quarterly"
]
},
"period_start_date": {
"description": "Date (ISO 8601) the period starts on.",
"type": "string",
"format": "date",
"example": "2024-09-25"
},
"period_end_date": {
"description": "Date (ISO 8601) the period ends on.",
"type": "string",
"format": "date",
"example": "2024-09-25"
},
"revenue": {
"description": "Total revenue the company earned over the period. For a bank, its interest and dividend income plus its non-interest income, before interest expense.",
"type": [
"number",
"null"
]
},
"cost_of_revenue": {
"description": "What producing that revenue cost.",
"type": [
"number",
"null"
]
},
"gross_profit": {
"description": "Revenue less the cost of revenue.",
"type": [
"number",
"null"
]
},
"operating_income": {
"description": "What the company earned from its operations, before tax. For an investment company, its net investment income.",
"type": [
"number",
"null"
]
},
"net_income": {
"description": "What the company earned after every cost, interest and tax.",
"type": [
"number",
"null"
]
}
}
}
}
}
},
"meta": {
"description": "Meta information about `SECFinancialsDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "019d979d-32e5-7697-b63c-7b3832a364cf",
"type": "sec_financial",
"form_type": "10-K",
"filed_at": "2025-07-30",
"report_date": "2025-06-30",
"source_url": "https://www.sec.gov/Archives/edgar/data/789019/000095017025100235/msft-20250630.htm",
"company": {
"id": "01535453-2122-71a8-997d-04d3e7cc76ed",
"type": "company",
"domain": "microsoft.com",
"name": "Microsoft Corp.",
"ticker": "NASDAQ:MSFT"
},
"income_statement": {
"period_type": "annual",
"period_start_date": "2024-07-01",
"period_end_date": "2025-06-30",
"revenue": 281724000000.0,
"cost_of_revenue": 87831000000.0,
"gross_profit": 193893000000.0,
"operating_income": 128528000000.0,
"net_income": 101832000000.0
}
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active"
}
}
}{
"description": "Bad request.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `BadRequestError` object.",
"const": "bad_request"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "bad_request",
"message": "..."
}
}
}{
"description": "Unauthorized.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnauthorizedError` object.",
"const": "unauthorized"
},
"message": {
"description": "Error message.",
"type": "string",
"const": "Authentication failed"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unauthorized",
"message": "..."
}
}
}{
"description": "Payment required.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `PaymentRequiredError` object.",
"const": "payment_required"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}
}{
"description": "Forbidden.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ForbiddenError` object.",
"const": "forbidden"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "forbidden",
"message": "..."
}
}
}{
"description": "Not found.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `NotFoundError` object.",
"const": "not_found"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "not_found",
"message": "..."
}
}
}{
"description": "Unprocessable content.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnprocessableContentError` object.",
"const": "unprocessable_content"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unprocessable_content",
"message": "..."
}
}
}{
"description": "Too many requests.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `TooManyRequestsError` object.",
"const": "too_many_requests"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}
}{
"description": "Internal server error.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `InternalServerError` object.",
"const": "internal_server_error"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "internal_server_error",
"message": "..."
}
}
}{
"description": "Service unavailable.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ServiceUnavailableError` object.",
"const": "service_unavailable"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "service_unavailable",
"message": "..."
}
}
}Returns a paginated list of API request log entries for the current subscription.
GET
https://predictleads.com/api/v4/api_request_logs
| Query Parameters | |||
|
|
|||
|
|
|||
|
|
|||
|
|
|||
curl --request GET \
--url https://predictleads.com/api/v4/api_request_logs \
--header 'X-Api-Key: {your_api_key}' --header 'X-Api-Token: {your_api_token}'import http.client
conn = http.client.HTTPSConnection("predictleads.com")
headers = {'X-Api-Key': "{your_api_key}", 'X-Api-Token': "{your_api_token}"}
conn.request("GET", "/api/v4/api_request_logs", headers=headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))Request was successfully processed.
{
"data": [
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"type": "api_request_log",
"requested_at": "2024-09-25T16:09:53Z",
"request_params": {
"id_or_domain": "stripe.com"
},
"request_path": "/api/v4/companies/stripe.com",
"response_code": 200,
"credits_used": 1,
"duration": 45.2
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active",
"count": 1
}
}Invalid request body or parameters.
{
"error": {
"type": "bad_request",
"message": "..."
}
}Authentication credentials are invalid or API subscription is not activated.
{
"error": {
"type": "unauthorized",
"message": "..."
}
}Exceeded the monthly request limit.
{
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}Request rate over limit.
{
"error": {
"type": "forbidden",
"message": "..."
}
}Record not found.
{
"error": {
"type": "not_found",
"message": "..."
}
}Provided data failed to validate.
{
"error": {
"type": "unprocessable_content",
"message": "..."
}
}Too many requests.
{
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}Internal server error.
{
"error": {
"type": "internal_server_error",
"message": "..."
}
}Service temporarily unavailable.
{
"error": {
"type": "service_unavailable",
"message": "..."
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "ApiRequestLogs",
"description": "Provides a paginated list of API request log entries made by the current subscription.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "ApiRequestLog",
"description": "The `ApiRequestLog` object.",
"type": "object",
"required": [
"id",
"type",
"requested_at",
"request_params",
"request_path",
"response_code",
"credits_used",
"duration",
"source"
],
"properties": {
"id": {
"description": "ID of the `ApiRequestLog` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "api_request_log"
},
"requested_at": {
"description": "Date & time (ISO 8601) when the request was made.",
"type": "string",
"format": "date-time"
},
"request_params": {
"description": "Query parameters included in the request, excluding internal fields such as `api_key` and `api_token`.",
"type": "object"
},
"request_path": {
"description": "Path of the API endpoint that was called.",
"type": "string"
},
"response_code": {
"description": "HTTP response status code returned for the request.",
"type": "integer"
},
"credits_used": {
"description": "Number of credits consumed by the request.",
"type": [
"integer",
"null"
]
},
"duration": {
"description": "Total request processing time in milliseconds.",
"type": [
"number",
"null"
]
},
"source": {
"description": "Surface the request originated from.",
"enum": [
"direct",
"playground",
"mcp",
"mcp_transport",
"zeroclick",
null
]
}
}
}
},
"meta": {
"description": "Meta information about `ApiRequestLogs` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"type": "api_request_log",
"requested_at": "2024-09-25T16:09:53Z",
"request_params": {
"id_or_domain": "stripe.com"
},
"request_path": "/api/v4/companies/stripe.com",
"response_code": 200,
"credits_used": 1,
"duration": 45.2
}
],
"meta": {
"schema_version": "4.0",
"record_state": "active",
"count": 1
}
}
}{
"description": "Bad request.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `BadRequestError` object.",
"const": "bad_request"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "bad_request",
"message": "..."
}
}
}{
"description": "Unauthorized.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnauthorizedError` object.",
"const": "unauthorized"
},
"message": {
"description": "Error message.",
"type": "string",
"const": "Authentication failed"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unauthorized",
"message": "..."
}
}
}{
"description": "Payment required.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `PaymentRequiredError` object.",
"const": "payment_required"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "payment_required",
"message": "You have exceeded the monthly request limit. To minimize your service disruption, you might want to consider upgrading your current API Subscription Plan."
}
}
}{
"description": "Forbidden.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ForbiddenError` object.",
"const": "forbidden"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "forbidden",
"message": "..."
}
}
}{
"description": "Not found.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `NotFoundError` object.",
"const": "not_found"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "not_found",
"message": "..."
}
}
}{
"description": "Unprocessable content.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `UnprocessableContentError` object.",
"const": "unprocessable_content"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "unprocessable_content",
"message": "..."
}
}
}{
"description": "Too many requests.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `TooManyRequestsError` object.",
"const": "too_many_requests"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "too_many_requests",
"message": "Too many requests in a short time period. Please try again later."
}
}
}{
"description": "Internal server error.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `InternalServerError` object.",
"const": "internal_server_error"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "internal_server_error",
"message": "..."
}
}
}{
"description": "Service unavailable.",
"type": "object",
"required": [
"error"
],
"properties": {
"error": {
"type": "object",
"required": [
"type",
"message"
],
"properties": {
"type": {
"description": "Type of the `ServiceUnavailableError` object.",
"const": "service_unavailable"
},
"message": {
"description": "Error message.",
"type": "string"
}
}
}
},
"additionalProperties": false,
"example": {
"error": {
"type": "service_unavailable",
"message": "..."
}
}
}A webhook is an event-driven mechanism that automatically sends updated dataset records from our server to your
Webhook URL over HTTP whenever a specific trigger event occurs.
NOTE: Webhooks are triggered only for
companies you follow
and are available on all upgraded subscription plans. To start receiving them,
upgrade your subscription plan
and add up to 5 webhooks on the
Trigger Subscriptions
page. If you need more, please
get in touch with our sales team.
Compatibility
The server must be able to receive a payload in the request body using any of the following supported
HTTP methods:
POST, PUT, PATCH or DELETE
NOTE: Some Microsoft and other similar servers do not support receiving a payload in the request body using the
DELETE HTTP method.
Fast Response Time
The server should respond with a status code of 200 (OK) as soon as it receives a payload in the request body,
ensuring that the connection is closed within 5 seconds. It should then
process and store the data asynchronously in the background.
IMPORTANT: Your server should not process data while request connection is still open, as this may cause a
timeout and could result in your subscription being temporarily disabled.
Availability
We recommend implementing your webhook server as a stand-alone application to ensure uptime during deployments of
your main application.
Connectivity
A reliable and stable connection.
NOTE: Webhooks are triggered only for companies you follow and are available on all upgraded subscription plans. To start receiving them, upgrade your subscription plan and add up to 5 webhooks on the Trigger Subscriptions page. If you need more, please get in touch with our sales team.
Setting Up
On the
Trigger Subscriptions
page, for any Trigger Subscription,
choose the record state (Active for receiving created/updated records or Deleted for receiving deleted records),
select the HTTP method that your server supports, provide a Webhook URL endpoint on your server to handle
incoming requests, and click Save Webhook Settings.
Testing
On the
Trigger Subscriptions
page, for any Trigger Subscription,
you can use the Webhook Test form to confirm that your provided settings work.
Trigger Event Occurs
When a specified trigger event occurs on our server (e.g., a new Company Signal is found), our server triggers the
webhook.
Sending the Payload
Our server sends an HTTP request to your Webhook URL endpoint, including a payload in the request body.
Processing the Data
Your server receives the request, responds with a status code of 200 (OK), and processes the received data
asynchronously in the background.
To verify that the webhook request came from PredictLeads, we suggest verifying the X-Predict-Signature header
value, which is included with every webhook request we send.
The header value is a SHA1 HMAC hexdigest, computed using your authentication token as the key and the
raw body of the request as the data.
You can also configure custom headers for your
Trigger Subscriptions
if needed.
Sends a list containing a single followed company’s Company Signal.
Triggered when:
POST
{webhook_url}
{
"data": [
{
"id": "019ff376-0929-770a-bef2-fdc11f58d6d0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "department_hiring_surge",
"headline": "Hiring surge in Operations",
"summary": "Hiring surge in Operations, with 11 new openings in the last 30 days against a usual 1.56 a month.",
"evidence": "11 new openings in the last 30 days vs 1.6 monthly average.",
"details": {
"type": "department_hiring_surge_details",
"openings": 11,
"department": "Operations",
"monthly_average": 1.56
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
}
],
"meta": {
"schema_version": "4.2",
"record_state": "active"
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "CompanySignalsDataset",
"summary": "Signals about company activity derived from PredictLeads datasets.\n",
"description": "PredictLeads Company Signals surface actionable intelligence about companies by\nanalysing patterns across all PredictLeads datasets.\n<br><br>\nEach signal captures a concrete, time-stamped event, such as a hiring surge in a\nspecific job category or a strategic insight extracted from job descriptions, along\nwith a human-readable headline, an importance score, and the evidence behind the\ndetection.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "CompanySignal",
"description": "The `CompanySignal` object.",
"type": "object",
"required": [
"id",
"type",
"sources",
"category",
"subcategory",
"headline",
"summary",
"evidence",
"details",
"importance",
"sentiment",
"detected_at",
"first_seen_at",
"company",
"detected_on_job_openings",
"detected_on_sec_filings"
],
"properties": {
"id": {
"description": "ID of the `CompanySignal` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company_signal"
},
"sources": {
"description": "The data endpoints this signal was derived from.",
"type": "array",
"items": {
"oneOf": [
{
"const": "job_openings",
"description": "Signal derived from the job openings dataset."
},
{
"const": "sec_filings",
"description": "Signal derived from SEC filings."
},
{
"const": "website_changes",
"description": "Signal derived from the website changes dataset."
},
{
"const": "technologies",
"description": "Signal derived from the technology detections dataset."
}
]
}
},
"category": {
"description": "The group the signal's `subcategory` belongs to.",
"oneOf": [
{
"const": "corporate_development",
"description": "Company acquired another company, merged, sold assets, invested into another company, or spun part of itself off."
},
{
"const": "funding",
"description": "Company raised financing, named a backer, or went public."
},
{
"const": "financials",
"description": "Company's reported revenue, earnings, profitability or valuation."
},
{
"const": "people",
"description": "Company's leadership and workforce: an executive or senior personnel change, headcount and team build-out, or a hiring surge against its prior year's monthly average."
},
{
"const": "location_and_facilities",
"description": "Company opened, expanded or closed an office, facility or location."
},
{
"const": "strategy",
"description": "Company changed direction, positioning, pricing, or the market it targets."
},
{
"const": "product",
"description": "Company launched, is developing, or integrated an offering."
},
{
"const": "tech_stack",
"description": "Company adopted, licensed or replaced a named technology or platform."
},
{
"const": "market_relationships",
"description": "Company's customers, partners and competitors."
},
{
"const": "recognition",
"description": "Company or a person at the company received an award or recognition."
},
{
"const": "legal_and_risk",
"description": "Company faces bankruptcy, litigation, security issues, or is winding down."
},
{
"const": "other",
"description": "A notable company-level event that fits none of the other categories."
}
]
},
"subcategory": {
"description": "What the signal reports, within its `category` group (e.g. `\"financing_event\"` under\n`funding`, `\"product_launch\"` under `product`).\nA hiring surge names the dimension it was counted along -- `\"company_wide_hiring_surge\"`,\n`\"department_hiring_surge\"` or `\"location_hiring_surge\"`, all under `people`. The bucket\nthat surged (the job opening category, or the location with its state and country) is in\n`details`.\n",
"type": [
"string",
"null"
]
},
"headline": {
"description": "A short human-readable summary of the signal.",
"type": "string"
},
"summary": {
"description": "The headline extended with the specifics behind it, in one sentence.",
"type": [
"string",
"null"
]
},
"evidence": {
"description": "Evidence supporting the signal: a verbatim excerpt from the source for signals read out of a job description or a SEC filing, or a human-readable explanation for hiring surge signals.",
"type": "string"
},
"details": {
"description": "Structured extras recorded about the signal, keyed by name. Which keys are present depends on what detected the signal, so the object takes exactly one of the definitions below.",
"oneOf": [
{
"title": "DepartmentHiringSurgeDetails",
"description": "Details of a hiring surge counted within one job category.",
"type": "object",
"required": [
"type",
"department",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "department_hiring_surge_details"
},
"department": {
"description": "The job category that surged.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
},
"general": {
"description": "A mark the curator recorded about the signal. Present only on a hiring surge whose bucket the curator judged out of character for the company.",
"type": "string",
"enum": [
"unexpected_surge_for_a_company"
]
},
"general_reason": {
"description": "Why the curator recorded the mark in `general`: what the company does and why the surging bucket falls outside it.",
"type": "string",
"maxLength": 200
}
}
},
{
"title": "LocationHiringSurgeDetails",
"description": "Details of a hiring surge counted within one hiring location.",
"type": "object",
"required": [
"type",
"location",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "location_hiring_surge_details"
},
"location": {
"description": "The location that surged, its state and country when the state is known (e.g. `\"California, United States\"`), its country otherwise.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
},
"state": {
"description": "State or region of the surging location, absent when only the country resolved.",
"type": "string"
},
"country": {
"description": "Country of the surging location.",
"type": "string"
},
"location_raw": {
"description": "The location exactly as one of the counted job postings worded it.",
"type": "string"
},
"general": {
"description": "A mark the curator recorded about the signal. Present only on a hiring surge whose bucket the curator judged out of character for the company.",
"type": "string",
"enum": [
"unexpected_surge_for_a_company"
]
},
"general_reason": {
"description": "Why the curator recorded the mark in `general`: what the company does and why the surging bucket falls outside it.",
"type": "string",
"maxLength": 200
}
}
},
{
"title": "CompanyWideHiringSurgeDetails",
"description": "Details of a hiring surge counted across every job opening of the company.",
"type": "object",
"required": [
"type",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "company_wide_hiring_surge_details"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
},
"open_positions_total": {
"description": "Open positions when the surge was detected, a total rather than new postings.",
"type": "integer"
},
"department_details": {
"description": "Every job category the company is hiring in or averaged an opening a month in.",
"type": "array",
"items": {
"type": "object",
"required": [
"department",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"department": {
"description": "The department this entry counts.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
}
}
}
},
"location_details": {
"description": "Every location the company is hiring in or averaged an opening a month in.",
"type": "array",
"items": {
"type": "object",
"required": [
"location",
"openings",
"monthly_average"
],
"additionalProperties": false,
"properties": {
"location": {
"description": "The location this entry counts.",
"type": "string"
},
"openings": {
"description": "New job openings first found in the current 30-day window.",
"type": "integer"
},
"monthly_average": {
"description": "New job openings first found per month, averaged over the prior year.",
"type": "number"
}
}
}
}
}
},
{
"title": "SECFilingSignalDetails",
"description": "Details of a signal extracted from a SEC filing, where a `financing_event` is always debt.",
"type": "object",
"required": [
"type"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "sec_filing_signal_details"
},
"source_item": {
"description": "The Form 8-K item the event was reported under, e.g. `5.02`.",
"type": "string"
},
"person": {
"description": "The individual named, as worded, with no courtesy title, on a `leadership_change` signal.",
"type": "string"
},
"job_title": {
"description": "The title a person takes or leaves, as worded, on a `leadership_change` signal.",
"type": "string"
},
"change_type": {
"description": "Which leadership change this is, on a `leadership_change` signal.",
"oneOf": [
{
"const": "officer_appointment"
},
{
"const": "officer_departure"
},
{
"const": "board_appointment"
},
{
"const": "board_departure"
},
{
"const": "interim_appointment"
}
]
},
"acquirer": {
"description": "The buyer: the company doing the acquiring on an `acquisition` signal, or the one buying the business on an `asset_sale`.",
"type": "string"
},
"acquired_company": {
"description": "The company being acquired, on an `acquisition` signal.",
"type": "string"
},
"amount": {
"description": "The monetary figure the signal turns on, as worded, e.g. `$1.2 billion`. On a `financing_raised_to_date` signal it is the cumulative total raised rather than any single figure.",
"type": "string"
},
"amount_normalized": {
"description": "The `amount` figure in whole US dollars, taking the midpoint where the wording states a range.",
"type": "integer"
},
"partners": {
"description": "Partners named, on a `partnership` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"former_parent": {
"description": "The parent the registrant was separated out of, on a `spin_off` signal.",
"type": "string"
},
"lender": {
"description": "The lender or administrative agent, on a `financing_event` or `debt_agreement_amendment`. Never the company the signal is about.",
"type": "string"
},
"debt_instrument": {
"description": "How the debt is structured, on a debt `financing_event` signal: `security` for a tradable instrument such as notes or bonds, `loan` for an agreement with a bank or a lender group.",
"oneOf": [
{
"const": "security"
},
{
"const": "loan"
}
]
},
"financing_type": {
"description": "The kind of financing raised, on a `financing_event` signal.",
"type": "string"
},
"exchange": {
"description": "The stock exchange a listing signal is about.",
"type": "string"
},
"predecessor": {
"description": "The outgoing audit firm, on an auditor change signal.",
"type": "string"
},
"successor": {
"description": "The incoming audit firm, on an auditor change signal.",
"type": "string"
}
}
},
{
"title": "CompanySignalDetails",
"description": "Details of a signal read out of a job description or a change on the company's website: the specifics behind it, keyed by name. Which keys are present follows from the `subcategory`.",
"type": "object",
"required": [
"type"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "company_signal_details"
},
"financing_type": {
"description": "The kind of financing raised, on a `financing_event` signal.",
"type": "string"
},
"amount": {
"description": "The monetary figure the signal turns on, as worded, e.g. `$1.2 billion`. On a `financing_raised_to_date` signal it is the cumulative total raised rather than any single figure.",
"type": "string"
},
"amount_normalized": {
"description": "The `amount` figure in whole US dollars, taking the midpoint where the wording states a range.",
"type": "integer"
},
"valuation": {
"description": "Valuation as worded, on a `valuation` signal.",
"type": "string"
},
"valuation_normalized": {
"description": "Valuation in whole US dollars.",
"type": "integer"
},
"valuation_increase": {
"description": "Valuation increase as worded, on a `valuation_increase` signal.",
"type": "string"
},
"valuation_increase_normalized": {
"description": "Valuation increase in whole US dollars.",
"type": "integer"
},
"growth_metric": {
"description": "The figure the company grows by, as worded, on a `growth_signal`, `revenue` or `revenue_increase` signal.",
"type": "string"
},
"growth_metric_type": {
"description": "What the figure counts. A rate of change is typed by what it counts, so revenue growth is `revenue`.",
"oneOf": [
{
"const": "revenue"
},
{
"const": "users"
},
{
"const": "customers"
},
{
"const": "transactions"
},
{
"const": "other"
}
]
},
"growth_metric_scope": {
"description": "The slice of the business the figure covers when it is not the whole company - a region, a segment or a channel. Absent when the evidence does not scope the figure, which normally means it covers the whole company.",
"type": "string"
},
"growth_metric_normalized": {
"description": "The `growth_metric` figure as a whole number. Its unit follows `growth_metric_type`: US dollars when the type is monetary, converted at an approximate recent rate, so 5400000 for \"€5M ARR\", and the plain count otherwise, so 1700000 for \"1.7 million users\". Absent when the wording states a rate or a vague phrase rather than a figure, as in \"grown 10x\".",
"type": "integer"
},
"growth_metric_annual_multiplier": {
"description": "The growth as a multiplier over one year. Growth stated over a longer period is annualised, so \"10x since 2022\" read in 2026 is 1.78 rather than 10.",
"type": "number"
},
"product": {
"description": "The product named, on a `product_launch` or `product_in_development` signal.",
"type": "string"
},
"acquirer": {
"description": "The buyer: the company doing the acquiring on an `acquisition` signal, or the one buying the business on an `asset_sale`.",
"type": "string"
},
"acquired_company": {
"description": "The company being acquired, on an `acquisition` signal.",
"type": "string"
},
"integration": {
"description": "The product or platform integrated with, on an `integration` signal.",
"type": "string"
},
"market": {
"description": "The segment, vertical or market entered, on a `market_entry` signal.",
"type": "string"
},
"office_location": {
"description": "The place the office is opening, on a `new_office` signal.",
"type": "string"
},
"technology": {
"description": "The technology or platform adopted, on a `technology_adoption` signal.",
"type": "string"
},
"recognition": {
"description": "The award or listing named, on a `recognition` signal.",
"type": "string"
},
"customers": {
"description": "Customers named, on a `customer_identified` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"investors": {
"description": "Investors named: those backing the company on an `investor_identified` or `financing_raised_to_date` signal, those taking part in the round on a `financing_event` one.",
"type": "array",
"items": {
"type": "string"
}
},
"partners": {
"description": "Partners named, on a `partnership` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"merging_companies": {
"description": "The companies combining, this one included, on a `merger` signal.",
"type": "array",
"items": {
"type": "string"
}
},
"lender": {
"description": "The lender or administrative agent, on a `financing_event` or `debt_agreement_amendment`. Never the company the signal is about.",
"type": "string"
},
"exchange": {
"description": "The stock exchange a listing signal is about.",
"type": "string"
},
"former_parent": {
"description": "The parent the registrant was separated out of, on a `spin_off` signal.",
"type": "string"
},
"predecessor": {
"description": "The outgoing audit firm, on an auditor change signal.",
"type": "string"
},
"person": {
"description": "The individual named, as worded, with no courtesy title, on a `leadership_change` signal.",
"type": "string"
},
"job_title": {
"description": "The title a person takes or leaves, as worded, on a `leadership_change` signal.",
"type": "string"
},
"change_type": {
"description": "Which leadership change this is, on a `leadership_change` signal.",
"oneOf": [
{
"const": "officer_appointment"
},
{
"const": "officer_departure"
},
{
"const": "board_appointment"
},
{
"const": "board_departure"
},
{
"const": "interim_appointment"
}
]
},
"debt_instrument": {
"description": "How the debt is structured, on a debt `financing_event` signal: `security` for a tradable instrument such as notes or bonds, `loan` for an agreement with a bank or a lender group.",
"oneOf": [
{
"const": "security"
},
{
"const": "loan"
}
]
},
"successor": {
"description": "The incoming audit firm, on an auditor change signal.",
"type": "string"
},
"evidence_type": {
"description": "Which sides of the website change the evidence was taken from, on a signal converted from one: `added_text`, `removed_text` for text that disappeared from the page, or `replaced_text` for text that took the place of removed text. The evidence of a `replaced_text` signal holds both, as `Removed: <old text>` and `Added: <new text>` on separate lines.",
"type": "string",
"enum": [
"added_text",
"removed_text",
"replaced_text"
]
}
}
},
{
"title": "CompetitiveDisplacementDetails",
"description": "Details of a company replacing one technology with a competing one.",
"type": "object",
"required": [
"type",
"from_technology",
"from_technology_id",
"to_technology",
"to_technology_id",
"from_last_seen_at",
"to_first_seen_at"
],
"additionalProperties": false,
"properties": {
"type": {
"description": "The shape this details object takes.",
"const": "competitive_displacement_details"
},
"from_technology": {
"description": "The technology that was dropped.",
"type": "string"
},
"from_technology_id": {
"description": "ID of the dropped technology in the technologies dataset.",
"type": "string",
"format": "uuid"
},
"to_technology": {
"description": "The competing technology that replaced it.",
"type": "string"
},
"to_technology_id": {
"description": "ID of the replacing technology in the technologies dataset.",
"type": "string",
"format": "uuid"
},
"from_last_seen_at": {
"description": "Date (ISO 8601) the dropped technology was last detected.",
"type": "string",
"format": "date",
"example": "2024-09-25"
},
"to_first_seen_at": {
"description": "Date (ISO 8601) the replacing technology was first detected.",
"type": "string",
"format": "date",
"example": "2024-09-25"
}
}
}
]
},
"importance": {
"description": "Assessed importance of the signal.",
"oneOf": [
{
"const": "low",
"description": "Minor signal with limited business impact."
},
{
"const": "medium",
"description": "Notable signal worth monitoring."
},
{
"const": "high",
"description": "Strong signal indicating significant company activity."
}
]
},
"sentiment": {
"description": "How the event reads for the company, or `null` until the signal has been reviewed.",
"oneOf": [
{
"const": "positive",
"description": "Good news for the company, e.g. funding raised, a customer won, a product launched."
},
{
"const": "negative",
"description": "Bad news for the company, e.g. revenue down, a customer lost, layoffs, litigation."
},
{
"const": "neutral",
"description": "Neither, or a datapoint rather than a direction, e.g. a technology adopted, an integration, a change of course."
},
{
"type": "null"
}
]
},
"detected_at": {
"description": "Date & time (ISO 8601) when the `CompanySignal` was detected.",
"type": "string",
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"first_seen_at": {
"description": "Date & time (ISO 8601) the signal first became knowable: the earliest job opening linked to it, the website snapshot the change was found in, or for a SEC filing signal the date its filing was made. Null when the signal has no dated source.",
"type": [
"string",
"null"
],
"format": "date-time",
"example": "2024-09-25T16:09:53Z"
},
"company": {
"title": "Company",
"description": "The company this signal is about.",
"type": "object",
"required": [
"id",
"type",
"domain",
"name",
"ticker"
],
"properties": {
"id": {
"description": "ID of the `Company` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company"
},
"domain": {
"description": "Company domain name.",
"type": "string"
},
"name": {
"description": "Company name if available.",
"type": [
"string",
"null"
]
},
"ticker": {
"description": "Company stock symbol (ticker) if available.",
"type": [
"string",
"null"
]
}
}
},
"detected_on_job_openings": {
"description": "Job openings this signal was detected on, earliest first.",
"type": "array",
"items": {
"title": "JobOpening",
"type": "object",
"required": [
"id",
"type"
],
"properties": {
"id": {
"description": "ID of the `JobOpening` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "job_opening"
}
}
}
},
"detected_on_sec_filings": {
"description": "SEC filings this signal was extracted from. The `evidence` of a signal read from a filing is a verbatim sentence of one of these, and the v3 `sec_filings` endpoint serves each one with its form type, filing date, EDGAR URL and full text.",
"type": "array",
"items": {
"title": "SECFiling",
"type": "object",
"required": [
"id",
"type"
],
"properties": {
"id": {
"description": "ID of the `SECFiling` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "sec_filing"
}
}
}
}
}
}
},
"meta": {
"description": "Meta information about `CompanySignalsDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "active"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "019ff376-0929-770a-bef2-fdc11f58d6d0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "department_hiring_surge",
"headline": "Hiring surge in Operations",
"summary": "Hiring surge in Operations, with 11 new openings in the last 30 days against a usual 1.56 a month.",
"evidence": "11 new openings in the last 30 days vs 1.6 monthly average.",
"details": {
"type": "department_hiring_surge_details",
"openings": 11,
"department": "Operations",
"monthly_average": 1.56
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-0929-7818-9a23-bd3108dc0ca0",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "people",
"subcategory": "location_hiring_surge",
"headline": "Hiring surge in California, United States",
"summary": "Hiring surge in California, United States, with 29 new openings in the last 30 days against a usual 9.37 a month.",
"evidence": "29 new openings in the last 30 days vs 9.4 monthly average.",
"details": {
"type": "location_hiring_surge_details",
"state": "California",
"country": "United States",
"location": "California, United States",
"openings": 29,
"location_raw": "San Francisco",
"monthly_average": 9.37
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:46Z",
"first_seen_at": null,
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7ab1-b24f-2f06c52841d4",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "financials",
"subcategory": "profitability",
"headline": "Achieved profitability",
"summary": "The company is currently profitable.",
"evidence": "\"Mercor is a profitable Series C company valued at $10 billion.\"",
"details": {
"type": "company_signal_details"
},
"importance": "high",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-13T21:36:36Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019f5d71-9251-7569-998b-e056d8ebb116",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "019ff376-1130-7b0a-8957-acc8f5d288ac",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "product",
"subcategory": "product_launch",
"headline": "Launched APEX benchmark family",
"summary": "The company has released its APEX benchmark family to measure AI's real-world impact.",
"evidence": "\"Mercor's APEX benchmark family measures AI's real-world impact on professional work.\"",
"details": {
"type": "company_signal_details",
"product": "APEX benchmark family"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-08-12T00:53:48Z",
"first_seen_at": "2026-07-27T21:59:55Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019fa597-c6ae-768e-ab61-784e3578b7c0",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
},
{
"id": "01a05d24-aebc-716d-a81c-cc3d452dd9de",
"type": "company_signal",
"sources": [
"job_openings"
],
"category": "other",
"subcategory": "growth_signal",
"headline": "Building a Strategic Finance team",
"summary": "Building a Strategic Finance team to elevate planning, resource allocation, and performance assessment as the company scales.",
"evidence": "\"As we scale, we’re building out a Strategic Finance team to elevate how we plan, allocate resources, and assess performance across the business.\"",
"details": {
"type": "company_signal_details"
},
"importance": "medium",
"sentiment": "positive",
"detected_at": "2026-09-01T13:24:40Z",
"first_seen_at": "2026-08-14T00:28:06Z",
"company": {
"id": "016325d2-479a-79ba-8bc1-5b45b812daab",
"type": "company",
"domain": "mercor.com",
"name": "Mercor",
"ticker": null
},
"detected_on_job_openings": [
{
"id": "019ffdab-87e6-7769-b10a-04dd2675efaa",
"type": "job_opening"
},
{
"id": "01a0ce94-cf04-7fdf-abc1-80668d42fd9f",
"type": "job_opening"
}
],
"detected_on_sec_filings": []
}
],
"meta": {
"schema_version": "4.2",
"record_state": "active"
}
}
}Sends a list containing a single followed company’s deleted Company Signal.
Triggered when:
POST
{webhook_url}
{
"data": [
{
"id": "01a1b222-8f32-7094-b425-b9776092ce17",
"type": "company_signal"
}
],
"meta": {
"schema_version": "4.0",
"record_state": "deleted"
}
}{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "CompanySignalsDeletedDataset",
"description": "Deleted (disapproved) Company Signals.\n",
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "array",
"items": {
"title": "CompanySignalDeleted",
"description": "The `CompanySignalDeleted` object.",
"type": "object",
"required": [
"id",
"type"
],
"properties": {
"id": {
"description": "ID of the `CompanySignalDeleted` object.",
"type": "string",
"format": "uuid"
},
"type": {
"description": "The type of this object.",
"const": "company_signal"
}
}
}
},
"meta": {
"description": "Meta information about `CompanySignalsDeletedDataset` object.\n",
"type": "object",
"required": [
"schema_version",
"record_state"
],
"properties": {
"schema_version": {
"title": "Meta.SchemaVersion",
"description": "Represents schema version of objects.\n",
"type": "string"
},
"record_state": {
"title": "Meta.RecordState",
"description": "Represents record state of objects.\n",
"type": "string",
"const": "deleted"
},
"count": {
"description": "Total number of results.\n<br>\n**NOTE**: Only included in API responses when the request parameter `page` is provided,\nfor performance reasons.\n",
"type": "integer",
"example": 344
}
}
}
},
"example": {
"data": [
{
"id": "01a1b222-8f32-7094-b425-b9776092ce17",
"type": "company_signal"
},
{
"id": "01a1b222-98e3-74b4-87e5-05d84927c4f4",
"type": "company_signal"
},
{
"id": "01a1b222-b8d3-76cd-bcb5-4562d9fd3b16",
"type": "company_signal"
},
{
"id": "01a1b222-c998-7ac4-92e1-e5e72fefa657",
"type": "company_signal"
},
{
"id": "01a1b222-dc99-7bff-a27e-c6d753f79749",
"type": "company_signal"
}
],
"meta": {
"schema_version": "4.0",
"record_state": "deleted"
}
}
}The MCP (Model Context Protocol) enables AI agents to access PredictLeads data and services seamlessly.
It provides a structured way to interact with your system and retrieve all information available via PredictLeads API.
Every tool represents an individual API endpoint with the same available parameters.
To use the PredictLeads MCP Server, authorize your application via OAuth2, or
sign up for a public account and provide your
API credentials as HTTP headers.
https://mcp.predictleads.com/v4The MCP Server supports two authentication methods. Your API key and token are available on the Your Subscription Plans page.
PredictLeads supports two OAuth2 flows.
Access Token URL: https://oauth.predictleads.com/token
Client ID: {your_api_key}
Client Secret: {your_api_token}For direct access, pass your credentials as request headers:
X-Api-Key: {your_api_key}
X-Api-Token: {your_api_token}
Each account using the MCP Server has request limits implemented.
The amount of requests one can do each month is limited by the chosen plan. You can track your monthly usage on
Your Subscription Plans page.
Responses carry an X-Credits-Used header, and MCP tool results include a credits_used field, with the credits
that request used. Requests rejected before reaching your account (401, 403 and 429) do not include it.
Once the account reaches the limit, all further requests will produce a 402 HTTP error, notifying the user of
the reached limit. If you have any further questions regarding the limits, feel free to contact us via
support.
This section explains how to configure and start using PredictLeads MCP quickly and efficiently across
different clients.
PredictLeads MCP works with any client that supports HTTP-based connections and authenticates
via OAuth2 or HTTP headers, ensuring broad compatibility and straightforward setup.
Web Client
Open the
PredictLeads listing
in the Claude connectors directory and click Connect.
Claude will handle the OAuth2 authorization automatically.
Desktop Client
In Claude Desktop, open Settings → Connectors under the Customize section,
search for PredictLeads, and click Connect.
Claude will handle the OAuth2 authorization automatically.
Claude Code
Once the connector is enabled using any of the clients above, it is available in Claude Code
automatically, with no extra setup required.
NOTE: If you gain access to additional datasets, refresh the PredictLeads connector’s tools list
so the new tools become available.
Open the
PredictLeads listing
in the ChatGPT plugins directory and click Install plugin. ChatGPT will handle the OAuth2 authorization
automatically.
NOTE: On Enterprise / Edu plans, an admin may need to enable the plugin for your workspace
before members can use it.
Download
LM Studio,
then add the following lines to the mcp.json configuration file.
{
"mcpServers": {
"PredictLeads": {
"url": "https://mcp.predictleads.com/v4"
}
}
}Download
LibreChat,
then add the following lines to the librechat.yaml configuration file.
mcpServers:
PredictLeads:
url: "https://mcp.predictleads.com/v4"
iconPath: "https://mcp.predictleads.com/images/predictleads-logo-mcp.svg"
type: "streamable-http"
headers:
X-Api-Key: "{{API_KEY}}"
X-Api-Token: "{{API_TOKEN}}"
customUserVars:
API_KEY:
title: "Authentication key"
description: "Your personal `Authentication key`. You can find it under `API Subscriptions` section \
on <a href='https://predictleads.com/subscriptions' target='_blank'>`Your Subscription Plans`</a> page."
API_TOKEN:
title: "Authentication token"
description: "Your personal `Authentication token`. You can find it under `API Subscriptions` section \
on <a href='https://predictleads.com/subscriptions' target='_blank'>`Your Subscription Plans`</a> page."
serverInstructions: trueDownload
VS Code,
then add the following lines to the mcp.json configuration file.
{
"servers": {
"PredictLeads": {
"url": "https://mcp.predictleads.com/v4",
"headers": {
"X-Api-Key": "{your_api_key}",
"X-Api-Token": "{your_api_token}"
}
}
}
}To connect to the PredictLeads MCP Server using
MCP Inspector,
create a new mcp.json configuration file and add the following lines.
{
"mcpServers": {
"PredictLeads": {
"type": "streamable-http",
"url": "https://mcp.predictleads.com/v4",
"headers": {
"X-Api-Key": "{your_api_key}",
"X-Api-Token": "{your_api_token}"
}
}
}
}If you include your credentials as headers in the configuration, MCP Inspector will use them for
authentication. Otherwise, you can omit the headers, and MCP Inspector will use the OAuth2 authorization
flow when it connects.
Then run the following command in your terminal to start the MCP Inspector.
npx -y @modelcontextprotocol/inspector --config mcp.json --server PredictLeadsNOTE: Node.js must be installed.