Last updated 07-28-2026
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ora.ai
ai offers a unique agent-readiness scoring platform that measures how well websites and products can be discovered, understood, authenticated, and used by AI agents. Unlike traditional tools focused on human users, Ora evaluates the agent experience across four layers: discovery, accessibility, usability, and payments. It combines static technical checks with AI-powered deep scans, running real autonomous agents to simulate end-to-end interactions.
This approach helps businesses understand how AI agents find and use their products, highlighting areas to improve for better agent integration. Founded by experts who helped set AI interaction standards, Ora is building the benchmark for agent trust and readiness.
🔍 Agent Experience Scoring: Measures product readiness across discovery, access, usability, and payments layers.
🤖 AI-Powered Deep Scans: Runs real autonomous agents to simulate and analyze end-to-end product interactions.
📊 Public Leaderboard: Ranks thousands of products by agent-readiness scores across multiple industry categories.
🛠️ API & MCP Access: Provides REST API and Model Context Protocol server for programmatic scanning and feedback.
📈 Continuous Monitoring: Enables ongoing scans to track score improvements and identify friction points.
Unique focus on AI agent experience rather than human UX.
Combines static checks with real agent simulations for accurate scoring.
Supports continuous monitoring and feedback from autonomous agents.
Public leaderboard offers transparency and competitive insights.
API and MCP server enable easy integration and automation.
Primarily targets businesses preparing for AI agent integration, less suited for general chatbot creation.
Some advanced features require technical knowledge of AI agent protocols.
How does Ora measure agent readiness?
Ora combines static technical checks with AI-powered deep scans where real autonomous agents simulate end-to-end interactions to score how well products support AI agents.
What is the difference between UX and agent experience?
ora.ai uX focuses on human users, while agent experience measures how well AI agents can discover, access, and use a product autonomously.
Can I use Ora to monitor my product's agent readiness over time?
Yes, Ora supports continuous scanning and monitoring to track improvements and identify areas needing attention.
What industries or product types does Ora support?
Ora ranks thousands of products across categories like developer tools, AI & ML, infrastructure, CRM, and more.
Does Ora provide an API for integration?
Yes, Ora offers a REST API and an MCP server for programmatic access to scanning, feedback, and discovery features.
How quickly does a full agent readiness scan complete?
ora.ai the latest Deep Scan v2 completes full scans in about 20 to 30 seconds, much faster than previous versions.
Who founded Ora and what is their background?
Ora was founded by experts who helped shape AI agent knowledge gathering and interaction standards, collaborating with Anthropic and OpenAI.