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Para Labs read API

Para Labs counts how often AI answer engines name brands and publishes lab studies on named brands. This page documents the public read API for that record. It is not a product console. Nothing here writes, bills, or signs anyone in.

Canonical URL: https://paralabs.ai/developers

Authentication

No authentication. Do not send an API key or a bearer token. https://paralabs.ai/auth.md states the same thing for agents, and /.well-known/oauth-protected-resource lists no authorization servers.

Endpoints

Method Path What it returns
GET /api/v1 Index of these endpoints
GET /api/v1/brands Brands in the record, 50 per page
GET /api/v1/brands/{slug} One brand
GET /api/v1/research Lab studies still in the index
GET /api/v1/research/{slug} One study, including its markdown body
GET /api/v1/search?q={text} Brand names and study titles matching the text

limit is 1 to 100 (default 50). offset skips that many matches. q filters a list. Search requires q.

curl -sS https://paralabs.ai/api/v1/brands?limit=2
curl -sS https://paralabs.ai/api/v1/search?q=salesforce

The machine-readable description is openapi.json. The RFC 9727 catalog is /.well-known/api-catalog.

Errors

Unknown paths and rejected query strings return application/problem+json (RFC 9457) with type, title, status, detail, and instance. A method other than GET returns 405 and an Allow: GET, HEAD, OPTIONS header. A missing brand or study returns 404. There is no HTML error page on these routes.

Error document

{
  "type": "https://paralabs.ai/developers#errors",
  "title": "Not Found",
  "status": 404,
  "detail": "No brand with slug \"not-a-brand\" is in the Para Labs record.",
  "instance": "/api/v1/brands/not-a-brand"
}

MCP

A read-only Model Context Protocol server speaks Streamable HTTP at /mcp. Tools: list_brands, get_brand, list_research, get_research, search. Each tool is read-only. The server card is /.well-known/mcp/server-card.json. No token is required.

What this API does not do

It does not create accounts, take payment, change the brand record, or accept a write. The record is rebuilt by the lab's own job. Corrections use the editorial mailbox [email protected].

Pages are also available as markdown: append .md, or send Accept: text/markdown. The navigation index is llms.txt.

Brand Visibility Check

See how AI interprets your brand.

Run a visibility audit in ChatGPT or Gemini and compare your brand against the machine-readable market.

ChatGPTGemini
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From the team behind the Machine Relations Index. Related: Machine Relations · Jaxon Parrott