Ora

Ora is a platform that evaluates and ranks how ready businesses and online services are for interaction with AI agents. It provides a measurable, data-driven system called the Agent Experience Ranking, which assesses a website or API’s ability to be discovered, understood, and utilized by autonomous AI agents. The ranking is based on scanning a domain or an MCP (Model Context Protocol) server URL, analyzing how easily an agent can find and interact with the service. As of the latest scan, Ora has evaluated 11,662 sites, with an average rank score of 35 and only 2% of sites achieving a rank of B or above. The platform categorizes services into specific industry verticals for comparison: Agent Tools (e.g., Apify, Tavily, Retell AI), AI & ML (e.g., Pinecone, Pydantic, HeyGen), Developer Tools (e.g., Semgrep, Manufact, PlanetScale), News & Intelligence (e.g., CB Insights, Statista, Yahoo Finance), Infrastructure & DevOps (e.g., Telnyx, Turso, Vercel), and CRM (e.g., Attio, Close, Instantly). Each category displays the top five ranked services with their score and letter grade (A, B, C, etc.). The ranking methodology breaks readiness down into five layers, though the exact layers are not described on the homepage, the leaderboard and scan results provide transparency. Users can submit their own domain or MCP server URL for scanning, receiving an immediate readiness score and grade. The platform also includes a Research Blog and a Methodology page that likely explains the scoring criteria in detail. Ora’s primary function is to help businesses benchmark their current state of agent-readiness, identify gaps in discoverability or compatibility, and track improvements over time. For developers and product teams, it serves as a diagnostic tool to ensure that their web services, A