Ora

Ora ranks any product on its agent experience across four layers: discovery, access, usability, and payments. The tool scans public URLs, simulates agent interactions, and returns a score and breakdown that reflects what agents can actually access and understand. It operates as a standard for how agents learn to trust a product and decide whom to work with.

Ora uses static checks against published documents, public APIs, and registries, then spawns real agents across platforms to attempt onboarding and end-to-end use. Real agents are employed to validate published content and to reveal gaps between stated capabilities and actual agent usability. The rank reflects both published information and practical outcomes.

Ora presents a four-layer scoring system normalized to 100 points, with a focus on what agents find, how they access data, how usable the product is, and how payments are handled. Checks may have maturity signals ranging from verified to emerging, influencing the reliability of the score while not punishing for inapplicable checks.

Ora offers optional integrations and an API-centric workflow. It provides a gateway to agent-ready products via a public directory, and publishes research and documentation to guide improvements. The approach includes standardization efforts like AgentReady.org and partnerships with industry players to support agent-focused optimization.