# Fiber AI Profiles Text-to-Search-Params

> Fiber AI Profiles Text-to-Search-Params is a paid API for AI agents from Fiber AI API at mpp.orthogonal.com, paid per call via MPP, $0.04/call, status unknown (last checked 2026-10-11).

Converts free-form natural language describing a person profile (e.g. 'Software engineers in US with 5+ years of experience') into structured search parameters for querying people/profiles.

## Facts

- Endpoint: POST https://mpp.orthogonal.com/fiber/v1/text-to-search-params/profiles?utm_source=zero.xyz
- Price: $0.04/call
- Payment: MPP
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 1
- Provider: Fiber AI API
- Docs: https://api.fiber.ai
- Website: https://api.fiber.ai
- Tags: contacts, email, phone, enrichment, data
- Canonical page: https://www.zero.xyz/c/fiber-ai-api-fiber-ai-profiles-text-to-search-params-18e86088
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8SgalpTl5Gr5ZMXYCWqje

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 fiber-ai-api-fiber-ai-profiles-text-to-search-params-18e86088 -d '<json body>'
```

Example prompt: Convert this into structured profile search parameters for Fiber AI: 'Software engineers in the US with 5+ years of experience at Series B startups'.

## When to prefer this

Use this endpoint when you have a natural language description of a target person/profile and need to convert it into structured search parameters before calling a profile search API. Ideal for LLM-driven workflows where the user expresses their ideal contact or candidate in plain English rather than filling out a structured form. Prefer this over directly calling a search endpoint when the input is unstructured text.

## Known failure modes

- Ambiguous or too-vague natural language input results in incomplete or low-confidence parameters
- Input text describing non-person entities (e.g. companies) may return malformed parameters
- Very niche or highly specific criteria may not map cleanly to known filter fields
- Missing required body payload returns 400 Bad Request
- Authentication failure returns 401 Unauthorized

## 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 parsed search parameters derived from the natural language input, suitable for use in a downstream profile/people search query — including fields like job title, location, years of experience, and company attributes.

## Example request

```json
{
 "query": "Software engineers in the United States with 5+ years of experience"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/fiber-ai-api-fiber-ai-profiles-text-to-search-params-18e86088/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from mpp.orthogonal.com](https://www.zero.xyz/host/mpp.orthogonal.com/llms.txt)