| What it does | Make your site work for agents
| AI writes your code. Canary tests it.
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Free
| Contact for pricing
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| Pricing | Not given
| Not given
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| Key features | - Automated and live agent simulations
- Journey - agent task recording
- Terminal-based audit tool
- Four-layer scoring system
- Real agent simulations from multiple platforms
- MCP server scoring
- Web research and registry checks
- Agent readiness research and monitoring
- API access with no authentication required
| - Automatic test generation from code diffs
- Sandbox app testing with real browsers and APIs
- Reproduced failures with root causes
- Automatic regression test creation
- GitHub PR integration with inline comments
- Testing at every development step
- Support for multiple coding agents
- Slack and Linear integration
- Comprehensive test reports with evidence
- CLI for local testing before commits
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| What makes it different | - First standard measuring how well agents can use websites
- Tests with real agents from ChatGPT, Claude, and other platforms
- Founded by creators of agent standards at Anthropic and OpenAI
- Open standard with industry partnerships
- Public research on web agent readiness
| - Catches bugs in AI-generated code automatically before they reach production
- Tests code in real browsers and APIs, not just unit tests
- Automatically converts findings into lasting regression tests
- Works directly inside coding agents with one-line integration
- Provides proof with replays and root causes for every failure
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| Community votes | 2 | 0 |
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| DR (Domain Rating by Ahrefs) | 60 ▲ +1 (up) since last check | 18 ● no change since last check |
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| Trust Flow (Majestic) | 22 | 5 |
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| Citation Flow (Majestic) | 46 | 32 |
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| Referring domains (Majestic) | 811 | 150 |
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