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Arson
Arson

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Your Agent API Needs an OpenAPI Spec (Here is Why)

#openapi #ai #webdev #api

Most APIs serving AI agents have docs written for humans. That is backwards.

Agents do not read documentation pages. They need machine-readable specs to discover endpoints, understand parameters, and generate client code automatically.

The Problem

When an AI agent needs to integrate with your API, it either:

  1. Has a human developer manually write the integration
  2. Reads your docs page and tries to parse natural language into API calls
  3. Uses a structured spec (OpenAPI, MCP) to auto-discover everything

Option 3 is the only one that scales.

What We Shipped

We just added a full OpenAPI 3.1 spec to GateSolve (our CAPTCHA solving API for agents). It covers every endpoint:

  • POST /api/solve -- Submit a CAPTCHA solve request
  • GET /api/solve?id=X -- Poll for results
  • GET /api/detect?url=X -- Classify URL access blocks
  • POST /api/v1/solve/dry-run -- Validate requests without consuming credits
  • GET /api/v1/usage -- Check API key quota

Each endpoint has typed request/response schemas, auth requirements, and error codes.

Why OpenAPI Over Custom Docs

  • Code generation: Any OpenAPI-compatible tool can generate typed clients
  • MCP compatibility: MCP servers can wrap OpenAPI specs directly
  • Directory indexing: API directories can automatically catalog your endpoints
  • IDE support: Developers get autocomplete and type checking for free

The spec IS the documentation for machines.

Try it: gatesolve.dev/openapi.json

Free API key: POST to gatesolve.dev/api/waitlist with your email. 100 free solves.

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