
Scovant
AgentReady.site
Firecrawl
agentShelf.app
Agent.ai
Is Your Site Agent-Ready? by Cloudflare
AI Listing
Score any website 0–100 for how well AI agents and LLMs can read and use it - with a fix for every issue.
Website, pricing, platforms and company facts side by side.
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Mini Button Bundle
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| Website | agent-ready.dev | felixdigistash.gumroad.com |
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| Company | 2026 | — |
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In their own words, as submitted to SaaSHub.

Agent Ready is a free agent-readability checker for websites. Enter any public URL and it returns a 0–100 score for how well AI agents, crawlers, and LLMs can understand and act on your site - plus a plain-English fix for every issue it finds. It validates against the standards that govern the...
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As answered by people managing Agent-Ready.dev and Mini Button Bundle.
Agent-Ready.dev's answer
Most agent-readiness tools check a shallow list of well-known paths and produce inconsistent or false-positive results. Agent Ready validates against the actual published specs in depth, groups findings into Site / Page / llms.txt / Protocol layers, and gives a concrete remediation step for each. It scans free with no signup, shows how your site ranks against the whole corpus, and meets you wherever you work - API, MCP, CLI, SDK, or browser extension - not just a single web form.
Agent-Ready.dev's answer
Developers, technical founders, and DevRel teams preparing their websites for AI search and autonomous agents. Anyone who needs their site to be discoverable and usable by LLMs, AI assistants, and agentic crawlers.
Agent-Ready.dev's answer
Agent Ready is the only readiness checker grounded in the full set of agentic-web standards at once - the Vercel Agent Readability Spec, the llmstxt.org standard, and the major agent-protocol manifests (MCP, A2A, agents.json, NLWeb, x402). Independent scanners score the same site anywhere from 46 to 96 because they disagree on what to check; Agent Ready's value is spec fidelity and depth of protocol validation, with a plain-English fix for every issue. It's also available on every surface developers use - web, REST API, MCP, CLI, SDKs, and a browser extension.
Agent-Ready.dev's answer
As AI assistants and autonomous agents became a primary way people find products and information, websites built only for human visitors started getting left behind - and there was no precise, standards-grounded way to know how "agent-ready" a site actually was. Agent Ready was built to fill that gap: a rigorous, spec-faithful score plus actionable fixes, so teams can prepare for the agentic web with confidence instead of guesswork.
Agent-Ready.dev's answer
Next.js (App Router) and TypeScript, Tailwind CSS with shadcn/ui, Postgres for scan storage, deployed on Vercel. Standards/protocols implemented include the Vercel Agent Readability Spec, llmstxt.org, Model Context Protocol (MCP), A2A, agents.json, NLWeb, and x402.
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