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

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: Has a human developer manually write the integration Reads your docs page and tries to parse natural language into API calls 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