API Readiness Assessment for AI Agents
Evaluate how prepared your APIs are for the AI-driven future with our interactive calculator and comprehensive checklist.
Calculate Your Score
Answer these questions to get an instant assessment of your API's readiness for AI agent consumption.
API Readiness Score Calculator
Answer these 7 questions to evaluate your API's readiness for AI agents.
Do your APIs have OpenAPI 3.1+ specifications that are 100% accurate and up-to-date?
Documentation • 20 pointsDoes every endpoint and parameter have rich description fields explaining when and why to use them?
Documentation • 15 pointsDo your API fields use semantic, descriptive names (e.g., 'temperature_celsius' instead of 'temp')?
Semantic Clarity • 10 pointsDo your error responses include actionable 'suggestion' or 'expected_format' fields?
Error Handling • 15 pointsDo you have an MCP (Model Context Protocol) endpoint for AI agent capability discovery?
Agent Discovery • 20 pointsDo your POST/PATCH endpoints support idempotency keys to prevent duplicate actions?
Reliability • 10 pointsCan clients request specific fields to minimize response payload sizes for token optimization?
Efficiency • 10 pointsDownload the Full Checklist
Get our comprehensive PDF guide with detailed implementation steps, code examples, and best practices.
API Readiness Checklist for AX
A comprehensive guide to preparing your APIs for AI agents.
What's Included:
- OpenAPI 3.1+ specification compliance checklist
- Rich metadata implementation guide
- Actionable error response templates
- MCP server setup quick-start
- Idempotency implementation patterns
- Token optimization strategies
- Real-world examples from leading APIs
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