# Orthogonal Text-to-Profile-Search-Params

> Orthogonal Text-to-Profile-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 2026-09-14).

Converts a free-form natural language description of a candidate profile into structured search filter parameters for profile/talent search.

## Facts

- Endpoint: POST https://x402.orthogonal.com/fiber/v1/text-to-search-params/profiles
- Price: $0.04/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/orthogonal-text-to-profile-search-params-d7d4e95c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ABgoAx_0qw75R5-19tYE3

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-profile-search-params-d7d4e95c -d '<json body>'
```

Example prompt: Convert this candidate description into structured profile search filters: 'Senior backend engineers in the United States with 5+ years of experience in Python and distributed systems, ideally with a computer science degree.'

## When to prefer this

Choose this endpoint when you have a free-form natural language description of a candidate profile or talent requirement and need to convert it into structured, machine-readable search parameters. It is ideal for recruiting agents, HR automation workflows, or talent sourcing pipelines that accept human-written job criteria and need to query a structured profile database. Prefer this over building your own NLP parser when you need standardized fields like job titles, skills, seniority, and locations extracted reliably from plain English.

## Known failure modes

- Vague or ambiguous query may produce overly broad or incomplete filters
- Highly domain-specific jargon may not map correctly to standard taxonomy fields
- Missing required context (e.g. no location or seniority mentioned) results in sparse filter output
- Malformed or empty query string returns an error or empty filter set

## How this service works

Takes free-form text (e.g., 'Software engineers in US with 5+ years of experience') and converts it into a structured set of filters for profile search.           This endpoint helps transform natural language queries into standardized search parameters such as job titles, skills, seniority, locations, past experiences, education, languages, and more.

## Output

A structured object containing standardized search filter parameters derived from the natural language query, such as job titles, required skills, seniority levels, geographic locations, years of experience, past employers, education credentials, and spoken languages — ready to be passed to a profile 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-profile-search-params-d7d4e95c/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)