Evaluation Framework
Yoofooz Methodology
Yoofooz evaluates whether APIs are ready for autonomous AI-agent workflows by reviewing documentation, integration safety, machine readability, operational clarity, and developer experience.
What Yoofooz Scores
Yoofooz looks for practical signals that help autonomous agents integrate safely.
- Documentation clarity
- Machine-readable specifications / OpenAPI
- Authentication clarity
- Error handling
- Rate-limit clarity
- Agent-safe workflow support
- Sandbox/test mode
- Webhook/event support
- Commercial trust
- Developer experience
Certification Levels
- Yoofooz Certified
Score: 85+
Meaning: Strong readiness signals across documentation, integration, safety, and developer experience. - Yoofooz Ready
Score: 70-84
Meaning: Generally usable by AI agents, with some improvement areas. - Agent-Compatible With Gaps
Score: 50-69
Meaning: Some agent-readiness signals are present, but important gaps remain. - Not Yet Agent-Ready
Score: below 50
Meaning: Documentation or integration signals are insufficient for reliable autonomous use.
What Scores Are Not
Scores are informational. They are not a guarantee of uptime, security, legal compliance, commercial suitability, or production reliability. Scores may evolve as Yoofooz improves its methodology.
Why This Matters
Autonomous agents need APIs they can discover, understand, authenticate with, call safely, recover from errors, respect rate limits, and integrate into workflows without excessive manual intervention.
Improve Your Score
- Publish OpenAPI specs
- Improve authentication docs
- Document rate limits and retry guidance
- Provide sandbox/test mode
- Explain error codes and recovery behavior
- Add webhook/event docs
- Publish quickstarts and SDK examples