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.
The page answers a plain fetch: 4 of 6 checks found.
Initial HTML what a plain fetch receives
<!doctype html>
<html class=announcement data-date=2016-07-14 data-js=js- data-section data-file-dir=/ data-file=_index.md data-env=live data-permalink=https://www.datadoghq.com/ data-draft=false data-image=https://corp.dd-static.net/img/datadog_logo_share_tt.png lang=en itemscope itemtype=http://schema.org/Article>
<head>
<meta name=generator content="Hugo 0.142.0">
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<meta charset=utf-8>
<meta http-equiv=X-UA-Compatible content="IE=edge">
<meta name=viewport content="width=device-width,initial-scale=1">
[... 18 more head elements folded ...]
<title>Cloud Monitoring as a Service | Datadog
</title>
<meta name=description content=" See inside any stack, any app, at any scale, anywhere. ">
[... 18 more head elements folded ...]
<meta http-equiv=Accept-CH content="DPR, Viewport-Width, Width">
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<meta http-equiv=Content-Language content="en">
<link rel=canonical href=https://www.datadoghq.com/>
<link rel=alternate hreflang=en href=https://www.datadoghq.com/>
<link rel=alternate hreflang=x-default href=https://www.datadoghq.com/>
<link rel=alternate hreflang=ja href=https://www.datadoghq.com/ja/>
<link rel=alternate hreflang=ko href=https://www.datadoghq.com/ko/>
[... 3 more head elements folded ...]
<link href=https://www.datadoghq.com/index.xml rel=alternate type=application/rss+xml title="Modern monitoring & security">
[... 8 more head elements folded ...]
</head>
<body class="hydra
home">
<div class="announcement-banner text-center"><a class="fw-semibold text-nowrap" href="https://www.datadoghq.com/resources/gartner-magic-quadrant-observability-platforms-2026/?utm_source=inbound&utm_medium=corpsite-display&utm_campaign=dg-apm-ww-announcement-corpsite-announcement-gartnermq2026-obsplat"><span class="d-none d-md-block tw-hidden banner-title-desktop tablet:tw-block">Datadog named a Leader in the Gartner® Magic Quadrant™ for Observability Platforms
</span><span class="d-block d-md-none tw-block tablet:tw-hidden banner-title-mobile">Leader in the Gartner® Magic Quadrant™
</span></a>
<script>[... 5,915 characters folded ...]
</script>
</div>
<div class=main-nav-wrapper>
<nav class=main-nav>
<div class="container d-flex position-relative">
<div class="d-none d-lg-flex justify-content-between w-100">
<ul class="d-flex flex-row align-items-center list-unstyled m-0 flex-grow-1 justify-content-start">
<li class="dropdown product-dropdown"><a class=dropdown href=https://www.datadoghq.com/product/>Product</a>
<div class="dropdown-menu product-menu" x-data="{
openCategory: 'observability',
timeoutID: null,
setCategory(category) {
this.timeoutID = setTimeout(() => {
this.openCategory = category;
const productMenu = document.querySelector('.product-menu');
window.DD_RUM.onReady(function() {
if (productMenu.classList.contains('show')) {
window.DD_RUM.addAction(`Product Category ${category} Hover`)
}
})
}, 160);
},
clearCategory() {
clearTimeout(this.timeoutID);
}
}" x-init="
const menu = document.querySelector('.product-menu');
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(mutation) {
if (mutation.attributeName === 'class' && !mutation.target.classList.contains('show')) {
openCategory = 'observability';
}
});
});
observer.observe(menu, { attributes: true });
">
<div class=row>
<div class="col-4 category-toggle-list-column p-4 ps-5">
<p class=product-hype>The integrated platform for monitoring & security
</p>
<ul class=category-toggle-list>
<li><button @mouseover="setCategory('observability')" @mouseout=clearCategory() class=w-100 :class="openCategory === 'observability' ? 'text-primary' : ''"><i class=icon-eye-4></i>Observability</button>
</li>
<li><button @mouseover="setCategory('security')" @mouseout=clearCategory() class=w-100 :class="openCategory === 'security' ? 'text-primary' : ''"><i class=icon-security-platform></i>Security</button>
</li>
<li><button @mouseover="setCategory('digital-experience')" @mouseout=clearCategory() class=w-100 :class="openCategory === 'digital-experience' ? 'text-primary' : ''"><i class=icon-rum></i>Digital Experience</button>
</li>
<li><button @mouseover="setCategory('software-delivery')" @mouseout=clearCategory() class=w-100 :class="openCategory === 'software-delivery' ? 'text-primary' : ''"><i class=icon-ci></i>Software Delivery</button>
</li>
<li><button @mouseover="setCategory('service-management')" @mouseout=clearCategory() class=w-100 :class="openCategory === 'service-management' ? 'text-primary' : ''"><i class=icon-software-catalog></i>Service Management</button>
</li>
<li><button @mouseover="setCategory('ai')" @mouseout=clearCategory() class=w-100 :class="openCategory === 'ai' ? 'text-primary' : ''"><i class=icon-bits-ai></i>AI</button>
</li>
<li><button @mouseover="setCategory('platform')" @mouseout=clearCategory() class=w-100 :class="openCategory === 'platform' ? 'text-primary' : ''"><i class=icon-dashboard></i>Platform Capabilities</button>
</li>
</ul><a href=https://www.datadoghq.com/pricing/ class=pricing-link>View pricing<i class=icon-right-carrot-normal-2></i></a>
</div>
<div class=col-8>
<div class=product-category id=observability-detail x-show="openCategory === 'observability'">
<div class=category-description style="--cta-bg:linear-gradient(90deg, #8000FF 0%, #FF0080 100%)">
<div class=category-description-main><i class=icon-eye-4></i>
<div class=info>
<p class=category-header>Observability
</p>
<p class=category-tagline>End-to-end, simplified visibility into your stack’s health & performance
</p>
</div>
</div>
</div>
<div class="category-details d-flex justify-content-start gap-2">
<div class=product-subcategory>
<p class="subcategory-header fw-bold text-uppercase">Infrastructure
</p>
<ul class=product-list>
<li><a href=https://www.datadoghq.com/product/infrastructure-monitoring/ data-dd-action-name="infrastructure_monitoring in observability">Infrastructure Monitoring</a>
</li>
<li><a href=https://www.datadoghq.com/product/metrics/ data-dd-action-name="custom-metrics in observability">Custom Metrics</a>
</li>
<li><a href=https://www.datadoghq.com/product/network-monitoring/ data-dd-action-name="network_monitoring in observability">Network Monitoring</a>
</li>
<li><a href=https://www.datadoghq.com/product/container-monitoring/ data-dd-action-name="container_monitoring in observability">Container Monitoring</a>
</li>
<li><a href=https://www.datadoghq.com/product/kubernetes-autoscaling/ data-dd-action-name="kubernetes_autoscaling in observability">Kubernetes Autoscaling</a>
</li>
<li><a href=https://www.datadoghq.com/product/serverless-monitoring/ data-dd-action-name="serverless_monitoring in observability">Serverless Monitoring</a>
</li>
<li><a href=https://www.datadoghq.com/product/cloud-cost-management/ data-dd-action-name="cloud_cost_management in observability">Cloud Cost Management</a>
</li>
<li><a href=https://www.datadoghq.com/product/storage-management/ data-dd-action-name="storage_management in observability">Storage Management</a>
</li>
<li><a href=https://www.datadoghq.com/product/gpu-monitoring/ data-dd-action-name="gpu_monitoring in observability">GPU Monitoring</a>
</li>
</ul>
</div>
<div class=product-subcategory>
<p class="subcategory-header fw-bold text-uppercase">Applications
</p>
<ul class=product-list>
<li><a href=https://www.datadoghq.com/product/apm/ data-dd-action-name="application_performance_monitoring in observability">Application Performance Monitoring</a>
</li>
<li><a href=https://www.datadoghq.com/product/universal-service-monitoring/ data-dd-action-name="universal_service_monitoring in observability">Universal Service Monitoring</a>
</li>
<li><a href=https://www.datadoghq.com/product/code-profiling/ data-dd-action-name="continuous_profiler in observability">Continuous Profiler</a>
</li>
<li><a href=https://www.datadoghq.com/product/dynamic-instrumentation/ data-dd-action-name="dynamic_instrumentation in observability">Dynamic Instrumentation</a>
</li>
<li><a href=https://www.datadoghq.com/products/ai/agent-observability/ data-dd-action-name="agent_observability in observability">Agent Observability</a>
</li>
</ul>
Shown with 107 long blocks (scripts, styles, long tags) folded into a marker that says how many characters they hide; line breaks added before block tags because the source is minified; the pane stops after the first 200 words; the page is 277 KB.
Reading view the text a plain-fetch client can extract
title: Cloud Monitoring as a Service | Datadog
AI-Powered Observability and Security
Datadog named a Leader in the Gartner® Magic Quadrant™ for Observability Platforms Leader in the Gartner® Magic Quadrant™ Product { this.openCategory = category; const productMenu = document.querySelector('.product-menu'); window.DD_RUM.onReady(function() { if (productMenu.classList.contains('show')) { window.DD_RUM.addAction(`Product Category ${category} Hover`) } }) }, 160); }, clearCategory() { clearTimeout(this.timeoutID); } }" x-init=" const menu = document.querySelector('.product-menu'); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(mutation) { if (mutation.attributeName === 'class' && !mutation.target.classList.contains('show')) { openCategory = 'observability'; } }); }); observer.observe(menu, { attributes: true }); "> The integrated platform for monitoring & security Observability Security Digital Experience Software Delivery Service Management AI Platform Capabilities View pricing Observability End-to-end, simplified visibility into your stack’s health & performance Infrastructure Infrastructure Monitoring Custom Metrics Network Monitoring Container Monitoring Kubernetes Autoscaling Serverless Monitoring Cloud Cost Management Storage Management GPU Monitoring Applications Application Performance Monitoring Universal Service Monitoring Continuous Profiler Dynamic Instrumentation Agent Observability Data Database Monitoring Data Observability Data Streams Monitoring Logs Log Management Audit Trail Observability Pipelines Error Tracking Bring Your Own Cloud Log Management Sensitive Data Scanner ) 0%, %!s() 100%)"> Infrastructure ) 0%, %!s() 100%)"> Applications ) 0%, %!s() 100%)"> Data ) 0%, %!s() 100%)"> Logs Security Outpace AI-powered attacks with unified security and observability Learn more Code Security
1787 more words follow in the initial HTML.
| Check | Result | Detail |
|---|---|---|
| H1 in the initial HTML | Found one H1 | First H1: AI-Powered Observability and Security |
| First 200 words in the initial HTML | Found 200 of 200 words | The initial HTML carries 1987 words of visible text; the first 200 are marked in the left pane. |
| llms.txt present and linked | Note present, not linked | 256000 bytes, 1053 links. Structure grade B (5 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 request | Missing 200 text/html | Accept: text/markdown returned 200 with text/html; charset=utf-8. The server ignores the header. |
| Status of a made-up path | Found 404 | /agent-ready-html-missing-path-check returned 404: a real status code for a missing page. |
| JSON-LD types | Found EntryPoint, ImageObject, Offer, Organization and 6 more | 10 schema.org types in JSON-LD blocks on the home page: EntryPoint, ImageObject, Offer, Organization, Person, PostalAddress, QuantitativeValue, SearchAction, SoftwareApplication, WebSite. |
| OpenAPI link | Note none on the home page | No 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 datadoghq.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
- Ora: AgentReady launch post (Ora's lab findings) https://ora.ai/blog/agentready-launch, read 4 November 2026
- Ora check catalogue, contract 1.38.0 (132 checks, 42 in the Access layer) https://ora.ai/api/checks, read 5 November 2026
- Ora home page (the fixing product is behind a waitlist) https://ora.ai/, read 5 November 2026
- Ora: Introducing Deep Scan (repeat scans) https://ora.ai/blog/introducing-deep-scan, read 5 November 2026
- Ora llms.txt (public URLs only) https://ora.ai/llms.txt, read 5 November 2026
- Vercel: Make your site readable by AI agents https://vercel.com/kb/guide/make-your-site-readable-by-ai-agents, read 4 November 2026
- llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
Last reviewed 5 November 2026