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Orthogonal Text-to-Company-Search-Params
x402
Orthogonal Text-to-Company-Search-Params is a paid API for AI agents from x402.orthogonal.com, paid per call via x402, $0.04/call, status unknown (last checked 2026-09-16).
Converts a free-form natural language company search query into structured filter parameters (industries, funding stages, headcount ranges, locations, etc.) for company search.
Price / call$0.04
Success—
StatusUnknown
How this service works
Takes free-form text (e.g., 'Series A startups in USA with 50–200 employees') and converts it into a structured set of filters for company search. This endpoint helps transform natural language queries into standardized search parameters such as industries, funding stages, headcount ranges, locations, and more.
Output
A structured JSON object containing standardized search filter parameters derived from the natural language query, including fields such as industries, funding stages, headcount ranges, and geographic locations that can be passed directly to a company search API.
Example use cases
Startup prospecting for sales team
“I want to find all seed-stage fintech startups in the US with fewer than 100 employees — can you turn that into structured filters I can feed into a company search?”
Investor deal flow filtering
“Convert 'Series A and Series B AI companies in the UK or Germany with 50 to 200 employees' into a structured set of search parameters for me.”
Recruiting pipeline segmentation
“I'm looking for mid-sized healthcare tech companies in North America that have raised Series C — parse that into search filter parameters so I can look them up.”
Technical details
Endpoint
POSThttps://x402.orthogonal.com/fiber/v1/text-to-search-params/companiesWhen to prefer
Choose this endpoint when you have a natural language description of companies you want to find and need to convert it into structured, machine-readable search filters. It is ideal for agent workflows where user intent is expressed in free-form text and must be translated into API-compatible parameters for downstream company search calls, avoiding manual filter construction.
Side effects
- Ambiguous or vague query text may produce incomplete or incorrect filter mappings
- Very niche or highly specific criteria may not map to supported filter fields
- Query text in non-English languages may not parse correctly
- Missing or empty query field returns a validation error
- Overly complex compound queries may lose some nuance in translation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string |
Tags
x402
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