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Is Your Site Agent-Ready? by Cloudflare
AI Listing
Agent Ready is a free agent-readability checker for websites. Enter any public URL and it returns a 0โ100 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 agentic web: โข Vercel Agent Readability Spec - semantic HTML, metadata, structured data, content clarity โข llmstxt.org - llms.txt and llms-full.txt discovery files โข Agent-protocol manifests - MCP server cards, A2A, agents.json, agent-permissions.json, NLWeb, x402, and more
Results are grouped into Site, Page, llms.txt, and Protocol checks, each with a clear pass/fail and a remediation step, so developers can ship changes and re-scan immediately. A corpus benchmark shows how your site ranks against every other site scanned, and every scan gives you a shareable result URL and an embeddable SVG score badge.
Agent Ready is available wherever you work: web app, REST API, MCP server (Claude Desktop, Cursor, Cline, Goose, Continue), CLI (npm: agent-ready-scanner), client SDKs (npm + PyPI: agent-ready-client), and a browser extension for Chrome, Edge, and Firefox.
Freemium: scan free with no signup (3 scans/30 days anonymous, 10 signed in, 25 pages each). Pro ($19/month) adds deeper scans, history, monitoring, and API/MCP access. Built for developers, technical founders, and DevRel teams.
Codecademy Agent-Ready.devNo Agent-Ready.dev videos yet. You could help us improve this page by suggesting one.
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.
Based on our record, Codecademy seems to be more popular. It has been mentiond 113 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
However, a little research was enough to dispel that misconception. Yes, there was a technical aspect to programming, but most developers weren't doing complex calculations all the time. So, my preconceptions faded away and turned into great curiosity and interest. I started studying JavaScript, HTML, and CSS on YouTube and also studied on Codecademy platform. - Source: dev.to / about 2 years ago
Codecademy is a freemium platform with high-quality content. Their courses range from web development to data science, and are interactive and text-based. - Source: dev.to / over 2 years ago
If you really have decided to become the next Guru on Scratch then you should learn at least one real programming language like JavaScript. I found this JavaScript course very useful: https://learnjavascript.online/. You can also learn Java and Python on codecademy.com. - Source: dev.to / almost 3 years ago
Codecademy.com makes use of a similar approach to the one you mentioned in order to teach JavaScript (and HTML and CSS), giving immediate feedback for the code you write on your browser (except that it uses the browser, as mentioned, instead of an IDE). Source: about 3 years ago
Codecademy offers interactive coding courses for various programming languages, including Python and JavaScript. It provides a hands-on learning experience and offers a free trial to get started. codecademy.com. Source: about 3 years ago
Coursera - Build skills with courses, certificates, and degrees online from world-class universities and companies
Scovant - Scovant runs real AI agents against your site โ simulations, CI regressions, and multi-model testing that static readiness scores can't see.
Free Code Camp - Learn to code by helping nonprofits.
AgentReady.site - AI Readiness scoring platform. Scan any website and get an AI Readiness Score measuring how well it works with AI agents, LLMs, and crawlers. Free scan, 10 free tools, open-source algorithm.
Udemy - Online Courses - Learn Anything, On Your Schedule
Firecrawl - Turn any website into LLM-ready data.
