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FullEnrich Company Search
x402
FullEnrich Company Search is a paid API for AI agents from stable-enrich-git-shafu-stableenrich-valid-89fbcd-merit-systems.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Search for companies by name, industry, headcount, or headquarters location, returning structured company profiles with pagination support
Price / call$0.05
Success—
StatusUnknown
How this service works
FullEnrich Company Search — by name, industry, headcount, HQ. Requires names, industries, or headquarters_locations as [{ value: "..." }] (plain strings coerced); limit/page alone → 400. Paginate via search_after. Legal names not brands (Anysphere≠Cursor). Software Development not SaaS; Research Services not AI.
Output
Returns a list of structured company profiles including legal company names, industry classifications, headcount ranges, and headquarters locations. Also returns a search_after token for paginating through additional results.
Example use cases
Sales prospecting by industry and location
“Find me 10 companies in the Research Services industry headquartered in Boston — I need their legal names and headcount to build a prospecting list.”
Identify legal name from brand name
“I know the company by the brand name Cursor, but I need their actual legal company name — can you search FullEnrich for Anysphere or similar to find the right legal entity?”
Market sizing by sector and headcount
“Search for Software Development companies with over 1000 employees headquartered in London — give me as many as possible and paginate through the results if needed.”
Technical details
Endpoint
POSThttps://stable-enrich-git-shafu-stableenrich-valid-89fbcd-merit-systems.vercel.app/api/fullenrich/company-searchWhen to prefer
Use this endpoint when you need to discover or look up companies by name, industry, headcount, or headquarters — especially for B2B sales prospecting, market research, or resolving brand names to legal entity names. Prefer this over generic web search when you need structured, filterable company data rather than unstructured text results. Best when you know the industry classification in LinkedIn taxonomy terms (Software Development, Research Services) rather than casual labels like SaaS or AI.
Side effects
- 400 error if only limit/page is provided without names, industries, or headquarters_locations filters
- 400 error if filter values are not provided as [{value: '...'}] objects
- No results returned if brand name used instead of legal name (e.g. Cursor instead of Anysphere)
- Incorrect industry category if common terms like SaaS or AI are used instead of LinkedIn-style classifications like Software Development or Research Services
- Pagination failure if search_after token from a previous response is not passed correctly
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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