| What it does | Make your site work for agents
| Encoding Human Expertise into Machines
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Free
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| Pricing | 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
| - Converse-STT Benchmark for speech-to-text evaluation
- Converse-Diarization Benchmark for speaker attribution
- Expert network with domain specialists
- Audiovisual conversational datasets
- Multilingual conversational AI datasets
- Open-source model post-training research
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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
| - Real-world conversational data from elite professionals
- Multimodal and multilingual expertise encoding
- Rigorous benchmarking with open-source evaluation tools
- Custom data pipelines for each discipline and accent
- Focus on nuance beyond scale, capturing lived experience
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| Community votes | 2 | 1 |
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| DR (Domain Rating by Ahrefs) | 59 ● no change since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 22 | 4 |
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| Citation Flow (Majestic) | 46 | 32 |
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| Referring domains (Majestic) | 811 | 264 |
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Ora
Ocular AI