Like Playwright β€” but for AI agents using APIs

Test your API with
CursorCursor
before your users do.

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

$opencanary run openapi.yml

Live results. No setup. No dashboards.

No signup. No credit card.

AI agents are becoming your main API users.
Most APIs aren't ready β€” and nobody knows until it's too late.

Test your API against real coding agents

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

The problem nobody's solving

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

πŸ”‡

Zero visibility into agent failures

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

πŸ“„

Docs work for humans, fail for agents

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

πŸ”„

No continuous feedback loop

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

πŸ“‰

Failures are invisible until churn

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

How it works

Three steps. One command. Live results.

01

Run one command on your OpenAPI spec

Point OpenCanary at your OpenAPI spec. That's it.

opencanary run openapi.yml
02

We spin up a real IDE + coding agent

A real coding agent in a real IDE tries to use your API. You watch it live.

Streamed in real-time
03

You get a live report

Failures, root causes, and suggested fixes. Not just logs β€” actionable insights.

Fixes you can copy-paste

What you get

❌
Where agents get stuck
auth, params, examples
🧠
Why they failed
not just logs
✏️
Suggested fixes
markdown diffs
πŸ“Š
Agent usability score
shareable, trackable

The standard for agent-compatible APIs

Like browser compatibility β€” but for AI.

Your API
OpenAPI Spec+Docs+Examples
OpenCanary
Agent Compatibility Testing
Run a real coding agent against your API. Watch what breaks. Fix it before users complain.
πŸ”
Test
Real IDE + agent
πŸ“Š
Report
Failures + root causes
πŸ”§
Fix
Markdown diffs
AI Coding Agents
CursorCursor
Claude CodeClaude Code
GitHub CopilotGitHub Copilot
WindsurfWindsurf
Becoming your main API users
Your Users
πŸ‘¨β€πŸ’»Developers using AI to build with your API

Docs that work for humans often fail for agents.
Companies only find out after users churn.

The path to becoming required infrastructure

Today
Developer Insight
See where agents fail on your API
Soon
CI Integration
Catch regressions before release
Future
Release Gate
Block deploys on compatibility failures

Like Selenium β†’ BrowserStack. Developer insight becomes release gate.

Pricing

Start free. Pay only for what you use.

Most popular

Free

$0

50 credits to start

Try free
  • Real coding agent in a real IDE
  • Live streamed β€” watch it happen
  • Failure breakdowns (auth, params, examples)
  • Root cause analysis, not just logs
  • Suggested doc & example fixes
  • Shareable report link

Pay as you go

$0.01

per credit

Get started
  • Everything in Free, plus:
  • Unlimited endpoints per run
  • Select specific endpoints to test
  • Test multiple APIs
  • Credits never expire
  • Priority support

Enterprise

Custom

For teams & CI/CD

Talk to us
  • Everything in Pay as you go, plus:
  • CI / PR integration
  • Regression detection & alerts
  • Release gating & policy enforcement
  • SSO & audit logs
  • Dedicated support & SLA

What every run includes

❌
Where agents get stuck
auth, params, examples
🧠
Why they failed
root causes, not just logs
✏️
Suggested fixes
copy-paste markdown diffs
πŸ“Š
Usability score
shareable, trackable

No signup required for free tier. No credit card needed.

Try it on your API in 30 seconds

No signup. No credit card.

Free run analyzes first 10 endpoints. Upgrade with credits to test all endpoints.

What you get

❌Where agents get stuck (auth, params, examples)
🧠Why they failed (not just logs)
✏️Suggested doc & example fixes (markdown diffs)
πŸ“ŠAgent usability score (shareable, trackable)

Who it's for

API-first companiesPlatform & DevRel teamsβ€œAI-ready” APIs that want proof

FAQ

OpenCanary runs real AI coding agents against your OpenAPI spec to see where they fail. It's like Playwright or Selenium β€” 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 β€” and how to fix it. Live results. No setup. No dashboards.

Docs that work for humans often fail for agents β€” 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 β€” auth, params, examples. (2) Why they failed β€” not just logs, but root causes. (3) Suggested doc & example fixes β€” markdown diffs you can copy-paste. (4) An agent usability score β€” 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 β€” 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 β€” 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 β€” 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.

We help API companies answer a question they currently can't:

β€œCan AI coding agents actually use our API correctly?”

You run one command on your OpenAPI spec.
We run a real coding agent in a real IDE.
We show you exactly where it fails β€” and how to fix it.

It's like Playwright for AI agents using APIs.

$opencanary run openapi.yml

No signup. No credit card. Live results.

AI agents are becoming your main API users.
Most APIs aren't ready β€” and nobody knows until it's too late.