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PredictLeads Discover Companies
PredictLeads Discover Companies is a paid API for AI agents from agents.predictleads.com, paid per call via MPP, $0.12/call, status healthy (last checked 2026-10-30, last successful call 2026-10-27).
Returns a paginated list of companies filtered by location, company size, industry, NAICS codes, and revenue range, ordered by last updated date.
Price / call$0.12
Success100%
StatusHealthy
How this service works
Returns a list of companies filtered by their location and size, ordered by last updated date.<br>**NOTE**: This endpoint returns an estimated count of all results.
Output
A paginated array of company objects, each including the company's domain, name, stock ticker, primary and additional location data (city, state, country, coordinates, address), a plain-language business description, meta title, industry, language, and timestamps. The response also includes an estimated total result count when a page number is supplied.
Example use cases
Sales prospecting by region and size
“Find me all companies in Texas with between 51 and 500 employees in the SaaS or cloud computing space — I want to build a prospecting list for our enterprise sales team.”
Market research by industry and revenue
“I'm doing market research on the biotech sector — can you pull a list of biotechnology companies in Germany with revenues between $10 million and $100 million?”
Competitive landscape by company size
“Give me a list of fintech companies in New York with 1 to 200 employees so I can map out smaller players in the space I might be competing with.”
Technical details
Endpoint
GEThttps://agents.predictleads.com/api/v3/discover/companies?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to discover and enumerate companies based on firmographic criteria — location, headcount, industry, NAICS codes, or revenue — rather than looking up a specific known company. It is ideal for building prospect lists, conducting market research, or mapping a competitive landscape across a defined segment. Prefer this over a single-company lookup when the goal is broad discovery across many companies rather than deep data on one.
Side effects
- Invalid or unsupported location name returns empty results
- Unrecognized industry enum value returns a 422 validation error
- Invalid NAICS code returns a validation error
- Exceeding limit of 1000 per page returns an error
- Missing or invalid authentication token returns 401
- Network timeout on large result sets
- Estimated count may be inaccurate for niche filter combinations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| page | integer | Page number of shown items. <br> **NOTE**: If the parameter is not provided, the meta property `count` will be omitted from response for performance reasons. |
| limit | integer | Limit the number of shown items per page. |
| sizes | array | One or more valid company sizes. |
| industry | string | The response will include only companies that work in the given industry. |
| location | string | The response will include only results in the given country name or state name/abbreviation. |
| naics_codes | array | One or more valid NAICS codes. |
| revenue_range_low | integer | The response will include only companies with revenue equal or higher than the given number. |
| revenue_range_high | integer | The response will include only companies with revenue lower or equal than the given number. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| datarequired | array | |
| meta | object | Meta information about `CompaniesDataset` object. |
| includedrequired | array | Contains objects referenced in property `relationships`. |
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