| What it does | Validate and monitor AI and LLM models for accuracy, robustness, and governance
| Make your site work for agents
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| Stage | Not given
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| Founded | Not given
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| Based in | IL
| US
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| Pricing model | Not given
| Free
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| Pricing | Not given
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| Key features | - Real-time monitoring and alerts for model mistakes
- Comprehensive validation metrics for stability and accuracy
- Model explainability at global and local levels
- Detection of anomalies and model vulnerabilities
- Bias and fairness analysis
- Governance tools for regulatory compliance
- Automated real-time reporting for stakeholders
- Actionable mitigation steps and risk reduction
- Production monitoring to prevent performance deterioration
- Real-time prediction explanation with error and certainty metrics
| - 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
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| What makes it different | - Outperforms international explainability benchmarks like SHAP and LIME
- Unique ability to dive into local samples in real time
- Patent-pending proprietary methodology
- Comprehensive solution covering development and deployment
- 82% faster time to production
| - 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
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| Community votes | 0 | 2 |
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| DR (Domain Rating by Ahrefs) | 25 ● no change since last check | 59 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 22 |
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| Citation Flow (Majestic) | 16 | 46 |
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| Referring domains (Majestic) | 77 | 811 |
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