# Orthogonal Text-to-Company-Search-Params

> 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.

## Facts

- Endpoint: POST https://x402.orthogonal.com/fiber/v1/text-to-search-params/companies
- Price: $0.04/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/orthogonal-text-to-company-search-params-d1c1c8e9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_h0pJ2p71l8ABTony-HEEX

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability orthogonal-text-to-company-search-params-d1c1c8e9 -d '<json body>'
```

Example prompt: Take this query — 'Series B SaaS companies in Europe with 100 to 500 employees' — and convert it into structured search filters I can use to query a company database.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "query": {
   "type": "string"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/orthogonal-text-to-company-search-params-d1c1c8e9/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.orthogonal.com](https://www.zero.xyz/host/x402.orthogonal.com/llms.txt)