Agent Ready HTML

The Plain Fetch viewer

In short

The viewer requests a URL the way a plain-fetch agent does: no JavaScript, one request for HTML, one for markdown, one for llms.txt and one for a path that should not exist. It shows the initial HTML on the left, the readable text on the right, and seven flags underneath.

Pre-loaded with www.wikipedia.org, read 4 November 2026. Type any public URL to run your own.

GET https://redhat.com/ answered 200 with text/html, 1.1 MB, 1 redirect, read 8 November 2026, 13:12 UTC. Final URL: https://www.redhat.com/en.

Permalink: /viewer/?url=https://redhat.com/

The page answers a plain fetch: 3 of 6 checks found.

Initial HTML what a plain fetch receives

  
<!DOCTYPE html>
<html lang="en" dir="ltr" prefix="og: https://ogp.me/ns#" class="pf-v6-theme-felt">
    <head>
[... 1 more head element folded ...]
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Red Hat - We make open source technologies for the enterprise</title>
[... 28 more head elements folded ...]
<meta name="description" content="Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies." />
<link rel="canonical" href="https://www.redhat.com/en" />
[... 9 more head elements folded ...]
<meta name="Generator" content="Drupal 10 (https://www.drupal.org)" />
[... 8 more head elements folded ...]
<link rel="alternate" type="text/markdown" title="Home Page" href="https://www.redhat.com/en/home-page.md" />
[... 1 more head element folded ...]
<link rel="alternate" hreflang="zh-cn" href="https://www.redhat.com/zh-cn" />
<link rel="alternate" hreflang="zh-hant" href="https://www.redhat.com/zh-tw" />
<link rel="alternate" hreflang="en" href="https://www.redhat.com/en" />
<link rel="alternate" hreflang="fr" href="https://www.redhat.com/fr" />
<link rel="alternate" hreflang="de" href="https://www.redhat.com/de" />
<link rel="alternate" hreflang="it" href="https://www.redhat.com/it" />
<link rel="alternate" hreflang="ja" href="https://www.redhat.com/ja" />
<link rel="alternate" hreflang="ko" href="https://www.redhat.com/ko" />
<link rel="alternate" hreflang="pt-br" href="https://www.redhat.com/pt-br" />
<link rel="alternate" hreflang="es" href="https://www.redhat.com/es" />
<link rel="alternate" href="https://www.redhat.com/en/home-page" hreflang="x-default" />
[... 1 more head element folded ...]
</head>
  <body class="updated path-frontpage rhdc-node-type-page page-node-5 felt-preview" >
    
            <!-- Skip navigation. --><a href="#rhdc-main-content" class="visually-hidden skip-link">Skip to content</a><rh-navigation-primary role="navigation" class="stick-nav"  mobile-toggle-label="Menu" mobile-links-toggle-label="Explore Red Hat" color-palette="lightest" logo-href="/en" data-analytics-region="mega menu" accessible-label="Navigation" rh-shared-libs-dsd><template shadowroot="open" shadowrootmode="open">[... 1,164 characters folded ...]</template></rh-icon><div id="summary" class="visually-hidden"><!--lit-part-->Menu<!--/lit-part--></div></summary><div id="details-content" role="list"><slot></slot></div></details><div id="secondary"><!--lit-node 24--><div id="event" role="list" class="hidden"><slot name="event"></slot></div><!--lit-node 26--><details id="links-menu" class=""><!--lit-node 27--><summary><div id="links-menu-summary" class="visually-hidden"><!--lit-part-->Explore Red Hat<!--/lit-part--></div><!--lit-node 30--><rh-icon icon="menu-switcher" set="ui" defer-hydration=""><template shadowroot="open" shadowrootmode="open">[... 418 characters folded ...]</template></rh-icon></summary><div id="links-menu-content" role="list"><slot name="links"></slot></div></details><!--lit-node 33--><div id="dropdowns" role="list" class="  "><slot name="dropdowns"></slot></div></div></div></div><!--lit-node 35--><div id="overlay" class="  "></div><!--/lit-part--></template><rh-navigation-primary-item variant="dropdown" ><template shadowroot="open" shadowrootmode="open">[... 893 characters folded ...]</template></rh-icon></summary><!--lit-node 7--><rh-navigation-primary-item-menu id="details-content" defer-hydration=""><template shadowroot="open" shadowrootmode="open">[... 177 characters folded ...]</template><slot></slot></rh-navigation-primary-item-menu></details><!--/lit-part--></div><!--/lit-part--></template><span slot="summary" id="nav-ai">
          AI
      </span><div class="nav-layout"><div class="nav-col-1"><ul><li ><h3 id="nav-ai-overview" aria-labelledby="nav-ai nav-ai-overview">Overview</h3><ul><li ><a
              href="/en/blog/channel/artificial-intelligence"
              data-analytics-text="AI news"
              data-analytics-category="AI|Overview"
              
            >
                              AI news
                          </a></li><li ><a
              href="https://developers.redhat.com/blog?field_tax_product_target_id%5B37288%5D=37288&amp;extIdCarryOver=true&amp;intcmp=7013a000003Sl59AAC&amp;sc_cid=RHCTG0250000454096&amp;percmp=RHCTG0250000466729&amp [... 183 characters folded ...]>
                              Technical blog
                          </a></li><li ><a
              href="/en/events/ai"
              data-analytics-text="Live AI events"
              data-analytics-category="AI|Overview"
              
            >
                              Live AI events
                          </a></li><li ><a
              href="/en/artificial-intelligence/inference"
              data-analytics-text="Inference explained"
              data-analytics-category="AI|Overview"
              
            >
                              Inference explained
                          </a></li></ul><ul><li class="nav-cta"><rh-cta><a
        href="/en/artificial-intelligence"
        data-analytics-linktype="cta"
        data-analytics-text="See our approach"
        data-analytics-category="AI|Overview"
        
      >See our approach</a></rh-cta></li></ul></ul></li></ul></div><div class="nav-col-1"><ul><li ><h3 id="nav-ai-products" aria-labelledby="nav-ai nav-ai-products">Products</h3><ul><li ><a
              href="/en/products/ai/enterprise"
              data-analytics-text="Red Hat AI Enterprise"
              data-analytics-category="AI|Products"
               class="zh-tw"
            >
                              Red Hat AI Enterprise
                          </a></li><li ><a
              href="/en/products/ai/inference"
              data-analytics-text="Red Hat AI Inference"
              data-analytics-category="AI|Products"
              
            >
                              Red Hat AI Inference
                          </a></li><li ><a
              href="/en/products/ai/openshift-ai"
              data-analytics-text="Red Hat OpenShift AI"
              data-analytics-category="AI|Products"
              
            >
                              Red Hat OpenShift AI
                          </a></li></ul><ul><li class="nav-cta"><rh-cta><a
        href="/en/products/ai"
        data-analytics-linktype="cta"
        data-analytics-text="Explore Red Hat AI"
        data-analytics-category="AI|Products"
        
      >Explore Red Hat AI</a></rh-cta></li></ul></ul></li></ul></div><div class="nav-card-col"><div class="nav-card-list"><ul><li ><h3 id="nav-ai-engage-learn" aria-labelledby="nav-ai nav-ai-engage-learn">Engage &amp; learn</h3><ul><li ><a
              href="https://docs.redhat.com/en/learn/ai"
              data-analytics-text="Learning hub"
              data-analytics-category="AI|Engage &amp; learn"
              
            >
                              Learning hub
                          </a></li><li ><a
              href="/en/topics/ai"
              data-analytics-text="AI topics"
              data-analytics-category="AI|Engage &amp; learn"
              
            >
                              AI topics
                          </a></li><li ><a
              href="https://catalog.redhat.com/categories/ai#ai-partners"
              data-analytics-text="AI partners"
              data-analytics-category="AI|Engage &amp; learn"
              
            >
                              AI partners
                          </a></li><li ><a
              href="/en/services/consulting/red-hat-consulting-for-ai"
              data-analytics-text="Services for AI"
              data-analytics-category="AI|Engage &amp; learn"
              
            >
                              Services for AI
                          </a></li></ul></li></ul></div></div></div></rh-navigation-primary-item><rh-navigation-primary-item variant="dropdown" ><template shadowroot="open" shadowrootmode="open">[... 893 characters folded ...]</template></rh-icon></summary><!--lit-node 7--><rh-navigation-primary-item-menu id="details-content" defer-hydration=""><template shadowroot="open" shadowrootmode="open">[... 177 characters folded ...]</template><slot></slot></rh-navigation-primary-item-menu></details><!--/lit-part--></div><!--/lit-part--></template><span slot="summary" id="nav-hybrid-cloud">
          Hybrid cloud
      </span><div class="nav-layout"><div class="nav-col-1-split"><ul><li ><h3 id="nav-hybrid-cloud-platform-solutions" aria-labelledby="nav-hybrid-cloud nav-hybrid-cloud-platform-solutions">Platform solutions</h3><ul><li ><!-- © Red Hat, Inc. CC-BY-4.0 licensed --><svg aria-hidden="true" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 36 36">[... 925 characters folded ...]</svg><a
              href="/en/hybrid-cloud-solutions/ai"
              data-analytics-text="Artificial intelligence"
              data-analytics-category="Hybrid cloud|Platform solutions"
               class="zh-tw"
            ><span>Artificial intelligence</span></a><p>Build, deploy, and monitor AI models and apps.</p></li><li ><!-- © Red Hat, Inc. CC-BY-4.0 licensed --><svg aria-hidden="true" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 36 36">[... 262 characters folded ...]</svg><a
              href="/en/hybrid-cloud-solutions/linux-standardization"
              data-analytics-text="Linux standardization"
              data-analytics-category="Hybrid cloud|Platform solutions"
              
            ><span>Linux standardization</span></a><p>Get consistency across operating environments.</p></li><li ><!-- © Red Hat, Inc. CC-BY-4.0 licensed --><svg aria-hidden="true" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 36 36">[... 477 characters folded ...]</svg><a
              href="/en/hybrid-cloud-solutions/application-development"
              data-analytics-text="Application development"
              data-analytics-category="Hybrid cloud|Platform solutions"
              
            ><span>Application development</span></a><p>Simplify the way you build, deploy, and manage apps.</p></li><li ><!-- © Red Hat, Inc. CC-BY-4.0 licensed --><svg aria-hidden="true" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 36 36">[... 1,193 characters folded ...]</svg><a
              href="/en/hybrid-cloud-solutions/automation"
              data-analytics-text="Automation"
              data-analytics-category="Hybrid cloud|Platform solutions"

Shown with 361 long blocks (scripts, styles, long tags) folded into a marker that says how many characters they hide; the pane stops after the first 200 words; the page is 1.1 MB.

Reading view the text a plain-fetch client can extract

title: Red Hat - We make open source technologies for the enterprise

Red Hat is the leading provider of enterprise open source software solutions

Skip to content Menu Explore Red Hat AI Overview AI news Technical blog Live AI events Inference explained See our approach Products Red Hat AI Enterprise Red Hat AI Inference Red Hat OpenShift AI Explore Red Hat AI Engage & learn Learning hub AI topics AI partners Services for AI Hybrid cloud Platform solutions Artificial intelligence Build, deploy, and monitor AI models and apps. Linux standardization Get consistency across operating environments. Application development Simplify the way you build, deploy, and manage apps. Automation Scale automation and unite tech, teams, and environments. Use cases Virtualization Modernize operations for virtualized and containerized workloads. Digital sovereignty Control and protect critical infrastructure. Security Code, build, deploy, and monitor security-focused software. Edge computing Deploy workloads closer to the source with edge technology. Explore solutions Solutions by industry Automotive Financial services Healthcare Industrial sector Media and entertainment Public sector (Global) Public sector (U.S.) Telecommunications Discover cloud technologies Learn how to use our cloud products and solutions at your own pace in the Red Hat® Hybrid Cloud Console. Products Platforms Red Hat AI Develop and deploy AI solutions across the hybrid cloud. Red Hat Enterprise Linux Support hybrid cloud innovation on a flexible operating system. Red Hat

2034 more words follow in the initial HTML.

3 found, 2 missing, 2 notes, from 7 checks run

  • H1Found
  • 200 wordsFound
  • llms.txtNote
  • MarkdownMissing
  • Missing pathFound
  • JSON-LDMissing
  • OpenAPINote
What a plain fetch found on redhat.com
CheckResultDetail
H1 in the initial HTMLFound one H1First H1: Red Hat is the leading provider of enterprise open source software solutions
First 200 words in the initial HTMLFound 200 of 200 wordsThe initial HTML carries 2234 words of visible text; the first 200 are marked in the left pane.
llms.txt present and linkedNote present, not linked4366 bytes, 28 links. Structure grade A (6 of 6). Nothing on the home page points to it. Ora's lab found 86 percent of llms.txt fetches arrived through a link.
Markdown on requestMissing 200 text/htmlAccept: text/markdown returned 200 with text/html; charset=UTF-8. The server ignores the header.
Status of a made-up pathFound 404/agent-ready-html-missing-path-check returned 404: a real status code for a missing page.
JSON-LD typesMissing noneNo JSON-LD block on the home page. Ora's lab found it made no difference when the answer was already in the HTML; Google says it is not needed for AI features.
OpenAPI linkNote none on the home pageNo OpenAPI link on the home page. It matters only for a site that ships an API.

Run the full check

The viewer read one page with four requests. The full check we recommend next is Ora's scan. Its Access layer runs 42 checks worth 30 of its 100 points, among them content without JavaScript, bot detection, llms.txt, markdown on request, JSON-LD and the sitemap (Ora's check catalogue, contract 1.38.0, read 5 November 2026). Open Ora's report for redhat.com.

Limits: Ora reads public URLs only, says two runs of one scan land within a couple of points without publishing repeat-scan data, and keeps the product that fixes what it finds behind a waitlist. Cloudflare's scanner at isitagentready.com is a quick free alternative, and Mintlify's score covers documentation.

What the viewer does

It sends four plain GET requests with the user agent Mozilla/5.0 (compatible; agent-readiness-crawl/1.0): the URL itself, the same URL with Accept: text/markdown, /llms.txt on the same host, and a made-up path at the root. It runs no JavaScript. The left pane is the first bytes of the HTML as text, with long scripts and styles folded into a marker that says how many characters they hide. The H1 and the first 200 words of visible text are marked in both panes. The flags under the panes say what the four responses added up to.

Limits

  • Ten seconds for all four requests together, 1.5 MB read from the home page, at most five redirects, each one checked again.
  • http and https only, default ports only. Private, local and internal addresses and names are refused.
  • Ten runs per address per minute. The counter lives in memory on the edge function, so it is per instance rather than global. Past ten you get a 429 with a Retry-After header.
  • Results are cached for 24 hours by the response headers. Nothing is written to a database: the viewer keeps the first 200 words and the extracted fields for the length of the request and keeps no page body beyond that.

What it does not tell you

A plain fetch from this server is not a real agent. Bot protection weighs the source address more than the user agent, so a page that answers 200 here can still refuse an agent, and the reverse. Ora's lab found (2026-10-19) that returning 403 to agent user agents and hiding the answer in JavaScript were the only two of 19 configurations that stopped retrieval; the viewer can see the second, and can only hint at the first. The initial HTML reference covers both. The server logs and the published crawler address ranges settle the first.

The seven flags

H1 in the initial HTML
Whether the HTML the server sends already contains an H1. It is the cheapest sign that the page does not depend on scripts to say what it is.
First 200 words in the initial HTML
Whether at least 200 words of visible text arrive in the initial HTML. Under 40 words with an app root element is flagged as a JavaScript shell.
llms.txt present and linked
Whether /llms.txt answers with a plain-text file, whether the home page links it (an anchor, a link element or a Link header), and the structure grade the index uses.
Markdown on request
Whether a request with Accept: text/markdown comes back as text/markdown. Cloudflare Radar found 3.9 percent of scanned top sites passing this at its April 2026 launch.
Status of a made-up path
Whether a path that should not exist returns 404 or 410. A 200 is a soft 404 and reads as a live page.
JSON-LD types
The schema.org types found in JSON-LD blocks on the page. Ora's lab found JSON-LD made no difference when the answer was already in the HTML.
OpenAPI link
Whether the page links an OpenAPI file, by an anchor or a service-desc link relation. It matters only for a site that ships an API.

Sources

  1. Ora: AgentReady launch post (Ora's lab findings) https://ora.ai/blog/agentready-launch, read 4 November 2026
  2. Ora check catalogue, contract 1.38.0 (132 checks, 42 in the Access layer) https://ora.ai/api/checks, read 5 November 2026
  3. Ora home page (the fixing product is behind a waitlist) https://ora.ai/, read 5 November 2026
  4. Ora: Introducing Deep Scan (repeat scans) https://ora.ai/blog/introducing-deep-scan, read 5 November 2026
  5. Ora llms.txt (public URLs only) https://ora.ai/llms.txt, read 5 November 2026
  6. Vercel: Make your site readable by AI agents https://vercel.com/kb/guide/make-your-site-readable-by-ai-agents, read 4 November 2026
  7. llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026

Last reviewed 5 November 2026