Like Playwright — but for AI agents using APIs

Test your API with
CursorCursor
before your users do.

Run a real coding agent against your APIs.
See exactly where it fails and get concrete fixes for docs & skills.

Join Waitlist

Test your API against real coding agents

CursorCursor
Claude CodeClaude Code
OpenAI CodexOpenAI Codex
GitHub CopilotGitHub Copilot
WindsurfWindsurf
Amazon QAmazon Q
GeminiGemini
ClineCline

AI agents are failing on your API

Agents are becoming primary API users. APIs are built for humans.

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Zero visibility into agent failures

API companies have zero visibility into whether AI coding agents can actually use their API correctly.

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Docs work for humans, fail for agents

Docs that work for humans often fail for agents — and companies only find out after users churn.

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No continuous feedback loop

Manual testing, hackathons, DevRel intuition — none of these tell you if agents can actually integrate.

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Failures are invisible until churn

Agent failures don't look like blank screens — they look like slower integrations, worse code, and higher abandonment.

FAQ

OpenCanary runs real AI coding agents against your OpenAPI spec to see where they fail. It's like Playwright or Selenium — but for AI agents using APIs. You get a live report with failures, root causes, and suggested fixes you can copy-paste.

You run one command on your OpenAPI spec. We spin up a real IDE with a real coding agent. The agent tries to use your API while you watch it live. You get a report showing exactly where it fails — and how to fix it. Live results. No setup. No dashboards.

Docs that work for humans often fail for agents — and companies only find out after users churn. Agents don't read docs like humans. They parse them differently and get confused by ambiguity, missing examples, unclear auth flows, and inconsistent error messages. Most API teams have zero visibility into this.

You get: (1) Where agents get stuck — auth, params, examples. (2) Why they failed — not just logs, but root causes. (3) Suggested doc & example fixes — markdown diffs you can copy-paste. (4) An agent usability score — shareable and trackable.

Traditional API testing checks if your endpoints work. OpenCanary checks if AI agents can figure out how to use them correctly. Agent failures don't usually look like blank screens — they look like slower integrations, worse code, and higher abandonment. That's the same failure mode as checkout friction or poor search relevance.

Start free with 50 credits. No signup required. Need more? Pay as you go at $0.01 per credit — credits never expire. Enterprise plans available for teams needing CI/CD integration, release gating, SSO, and dedicated support.

Yes. Enterprise plans include CI/PR integration, regression detection, score history, release gating, and policy enforcement — so agent compatibility becomes a required check before deploy.

AI agents are becoming primary API users. With coding agents like Cursor, Claude Code, and GitHub Copilot widely used, your API's agent compatibility directly impacts developer adoption. If agents can't use your API, your onboarding breaks silently and users churn to competitors.