Make your API agent-ready
Built for engineers who care about API usability. Test how coding agents interact with your API and fix issues before users hit them.
Challenges we solve
Real sandbox testing shows exactly how agents interact with your API.
Detailed logs show every step agents take, including where they fail.
See how your API ranks vs competitors on Devtool Arena leaderboard.
Identify which docs pages cause agent confusion and failures.
Track how your API performs with AI coding agents
Which coding agents work best with your API
| Agent / Average | Payments | Billing | Checkout | Connect | Webhooks |
|---|---|---|---|---|---|
1  | 97% | ||||
2  | 91% | ||||
3  | 82% | ||||
4  | 78% | ||||
5  | 71% | ||||
6  | 66% |
How each endpoint performs across eval types
/v1/payment_intents/v1/chargesTools for engineers
Sandbox Testing
Real execution environments that test whether agents can discover, call, and use your API correctly.
Custom Evals
Write your own test scenarios. Test specific endpoints, auth flows, and edge cases.
Error Detection
Find 404s, broken redirects, and documentation gaps that cause agent failures.
llms.txt Support
Validate and optimize your llms.txt file. Ensure agents can read your structured context.
Built for technical depth
We know you want details, not dashboards. Get the data you need to debug and optimize.
- Test across 12 coding agents (Claude Code, Cursor, Codex, Muse Code, etc.)
- Measure discoverability, tool calls, and error rates
- Track step count and execution time
- Identify high-failure URLs and endpoints
- Compare SDK/MCP/CLI compatibility
- CI/CD integration for regression testing
{
"api": "stripe",
"agent": "claude-code",
"score": 94,
"metrics": {
"discoverability": 97,
"tool_calls": 92,
"error_rate": 3
},
"steps": 8,
"failed_urls": []
}Is your API agent-ready?
Find out how AI coding agents interact with your API. Get specific recommendations to improve.