ora, together with Vercel, Stripe and others, releases the AgentReady open standard
ora, together with Vercel, Stripe, Auth0, Mintlify, Tavily, Google, Elementor and MIT, has launched the AgentReady specification, open-sourced under the MIT license, which defines the extent to which websites must be built so that AI agents can find, understand and operate them. Its research team ran agents on real tasks more than 250,000 times; controlled experiments using 19 configurations and 190 probes in total found that only hiding answers in JavaScript and returning 403 to agents caused failures, while llms.txt, JSON-LD, sitemaps and Markdown mirrors did not change the results. The specification sets out MUST, SHOULD and MAY requirements across the three steps of find, read and operate, with the operate layer requiring at least one of an MCP server or a CLI.
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An open specification based on 250,000 real-world tests that identifies the few conditions under which agents actually fail when accessing websites, serving as a reference for site improvements.
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View original postIntroducing https://t.co/ofzXbW4lOc, the first open standard for agent experience. Agents are a new class of user, but there's still no shared definition of what it takes to be ready for them. So we partnered with the leading companies in the agentic web such as Vercel, Stripe, Auth0, Mintlify, Tavily and Elementor. Our research lab ran agents on real tasks more than 250,000 times to measure what actually decides whether an agent succeeds, and every requirement traces back to that data. The result is a short set of essentials in the order agents meet a product: find, read, act. We've been overwhelmed by requests to join. If you build or study the surfaces agents touch, come help shape it. The spec: https://t.co/MuSWchN40k The story behind it: https://t.co/h1kBIsjlXM
View original
Introducing https://t.co/ofzXbW4lOc, the first open standard for agent experience. Agents are a new class of user, but there's still no shared definition of what it takes to be ready for them. So we partnered with the leading companies in the agentic web such as Vercel, Stripe, Auth0, Mintlify, Tavily and Elementor. Our research lab ran agents on real tasks more than 250,000 times to measure what actually decides whether an agent succeeds, and every requirement traces back to that data. The result is a short set of essentials in the order agents meet a product: find, read, act. We've been overwhelmed by requests to join. If you build or study the surfaces agents touch, come help shape it. The spec: https://t.co/MuSWchN40k The story behind it: https://t.co/h1kBIsjlXM
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AgentReady Launches: An Open "Agent Readiness" Standard Based on 250,000 Real Agent Tests — Only Two Things Actually Block Agents
@oradotai, together with Vercel, Stripe, Auth0, Mintlify, Tavily, Google, Elementor, and MIT, has launched AgentReady: an open-source (MIT-licensed), vendor-neutral specification that defines what websites and products must do for AI agents to find them, understand them, and use them. The core finding is counterintuitive: in controlled experiments, only two changes caused agents to fail — hiding answers in JavaScript, and blocking agents outright. The other dozen-plus "agent optimization" configurations had no effect on whether the answer could be obtained. https://t.co/YEnIQ5ZJwA