Agent Ready HTML

datadoghq.com llms.txt

In short

datadoghq.com serves a 583 KB llms.txt with 2,431 links. The crawl kept and parsed the first 60 KB of it, which holds 12 H2 sections, graded B on the llmstxt.org structure (5 of 6 checks). It lacks a size under 100 KB.

llms.txt parsed the first 60 KB of a 583 KB file


# Datadog

> AI-Powered Observability and Security. See inside any stack, any app, at any scale, anywhere.

Datadog is the leading cloud-based monitoring and analytics platform for applications, infrastructure, logs, and user experience. We help organizations optimize application performance, troubleshoot issues, and enhance digital experiences at scale.

## Company Information

- [About Datadog](https://www.datadoghq.com/about/)
- [Contact Us](https://www.datadoghq.com/about/contact/)
- [Careers](https://careers.datadoghq.com/)
- [Leadership Team](https://www.datadoghq.com/about/leadership/)

## Free Trial
- [Free 14 Day Trial](https://www.datadoghq.com/free-datadog-trial/)

## Datadog for Startups
- [Datadog for Startups - Scale confidently with a free year of Datadog](https://www.datadoghq.com/partner/datadog-for-startups/)

## Core Products
- [Datadog Experiments](https://www.datadoghq.com/product/experiments.md): Run trusted experiments and A/B tests faster. Validate ideas with real-time behavioral, performance, and warehouse-native business metrics.
- [Serverless Monitoring & Observability](https://www.datadoghq.com/product/serverless-monitoring.md): Monitor your entire serverless environment, from API Gateway to Lambda Functions, and quickly resolve performance issues all in a single platform with Datadog.
- [Datadog Agent Observability](https://www.datadoghq.com/product/ai/llm-observability/index.md): Group, prioritize and resolve errors with speed and confidence. All in one place.
- [GPU Monitoring for AI Workloads](https://www.datadoghq.com/product/gpu-monitoring.md): Monitor GPU capacity, performance, health, and cost in one place. Pinpoint stalled AI workloads, reclaim idle capacity, and reduce wasted spend.
- [Real User Monitoring](https://www.datadoghq.com/product/real-user-monitoring.md): Datadog’s Real User Monitoring enables IT teams with user data and metrics to optimize frontend performance. Learn how to get started with RUM and begin enhancing performance.
- [Synthetic Monitoring - API and Browser Testing](https://www.datadoghq.com/product/synthetic-monitoring.md): Datadog Synthetic Monitoring allows you to run API and browser tests to simulate how your systems are performing and ensure you catch issues before real users are impacted.
- [Network Monitoring](https://www.datadoghq.com/product/network-monitoring.md): Network monitoring with Datadog provides full visibility into every layer of your environment - whether in the cloud, on-premise or a hybrid. Try it free.
- [Sensitive Data Scanner](https://www.datadoghq.com/product/sensitive-data-scanner.md): Datadog’s Sensitive Data Scanner helps businesses meet compliance goals by discovering, classifying, and redacting sensitive data […] in real-time and at scale. Datadog scans for patterns of sensitive data at the edge or during ingestion and then hashes or redacts it following built-in or user-defined rules to help businesses stay compliant with GDPR, HIPAA, CCPA, and more.
- [Universal Service Monitoring](https://www.datadoghq.com/product/universal-service-monitoring.md): Instantly discover, map, and monitor every service[…]without changing code[…] using Datadog Universal Service Monitoring. Learn more.
- [Cloud SIEM](https://www.datadoghq.com/product/cloud-siem.md): An AI-driven threat detection and incident response platform for security operations teams.
- [Datadog Disaster Recovery](https://www.datadoghq.com/product/datadog-disaster-recovery.md): Maintain observability continuity during cloud provider region outages. Recover live telemetry, dashboards, and monitors at an operational secondary Datadog site with zero re-instrumentation.
- [Audit Trail](https://www.datadoghq.com/product/audit-trail.md): Learn how your organization can adopt Datadog while maintaining regulatory compliance, enforcing platform governance and building transparency
- [Cloud Security](https://www.datadoghq.com/product/cloud-security.md): Learn how Datadog Cloud Security delivers real-time threat detection and continuous configuration audits across your entire cloud infrastructure
- [Data Streams Monitoring](https://www.datadoghq.com/product/data-streams-monitoring.md): Easily map, monitor, and troubleshoot your streaming data pipelines with Datadog Data Streams Monitoring. Learn more.
- [Cloud Cost Management](https://www.datadoghq.com/product/cloud-cost-management.md): Unify cost and performance data to […] engineers to optimize workloads and enable FinOps to reduce waste and drive business outcomes
- [Database Monitoring](https://www.datadoghq.com/product/database-monitoring.md): Resolve issues and optimize inefficient query performance across entire database fleets
- [Observability Pipelines](https://www.datadoghq.com/product/observability-pipelines.md): Control costs, simplify SIEM migrations, and manage sensitive data at scale
- [App & API Protection](https://www.datadoghq.com/product/app-and-api-protection.md): Production visibility and security for your web applications and APIs
- [Archive Search](https://www.datadoghq.com/product/archive-search.md): Search live and historical logs in one query experience
- [Jobs Monitoring](https://www.datadoghq.com/product/data-observability/jobs-monitoring.md): Observe, troubleshoot, and cost-optimize your Spark and Databricks jobs across data pipelines[…]using Datadog Jobs Monitoring. Try it free now.

First 41 of 382 lines. 5 spans shown as […] because the words or characters in them are rejected by this site's own style rules; the live file has them.

Parse graded B, 5 of 6

file: https://datadoghq.com/llms.txt

Datadog

AI-Powered Observability and Security. See inside any stack, any app, at any scale, anywhere.

12 sections, 2,431 links, no Optional section.

Ora's cached score: 69, grade C, scanned 15 October 2026.

The parse

The crawl recorded 2,431 links in the whole 583 KB file but kept only its first 60 KB, which is what is parsed here. In that part, 349 links appear: 349 point at datadoghq.com or a relative path, 0 point elsewhere. The hosts it links most: datadoghq.com (347), careers.datadoghq.com (1), docs.datadoghq.com (1).

H2 sectionLinks
Company Information4
Free Trial1
Datadog for Startups1
Core Products50
Solutions45
Case Studies50
Resources and Architecture85
Support Resources2
Certifications and Learning Resources2
About Pages50
Knowledge Center50
Blog Posts9

Grade against the llmstxt.org structure

The file passes 5 of 6 checks and fails 1: under 100 kb. The grade is the count of passed checks: six is A, five is B, four is C, three is D, fewer is F. It measures structure only. Whether any agent reads the file is a separate question, covered on the llms.txt reference.

CheckResultDetail
Starts with an H1 naming the site or projectPassH1: Datadog
Has a blockquote summary under the H1PassBlockquote summary found.
Has at least one H2 section that lists linksPass12 H2 sections, 12 with links.
At least 80 percent of links point at the same sitePass349 of 349 links stay on datadoghq.com (100 percent).
Under 100 KBFail597248 bytes as served.
Plain markdown, no HTMLPassNo HTML document markers in the body.

Ora's cached score

Ora's cached report for datadoghq.com gives it 69 of 100, grade C, scanned on 15 October 2026. Its Access layer, which holds the read-layer checks below, scored 47 of 61 check points. Read from GET ora.ai/api/score/datadoghq.com on 5 November 2026. The score is Ora's, not this site's, and the structure grade above is a different measure: it grades the llms.txt file against the llmstxt.org proposal, while Ora's score covers the whole site. Ora's report for datadoghq.com has every layer.

Read-layer checks in Ora's cached report for datadoghq.com, 5 November 2026
Ora check (Access layer)ResultPoints
Sitemap existsPass2 of 2
Content without JavaScriptPartial2 of 3
Not blocked by bot detectionPass2 of 2
Markdown URL fallbackFail0 of 2
llms.txt existsPass1 of 1
llms.txt formattingPartial1 of 2
JSON-LD structured dataPass4 of 4
Metadata completenessPass2 of 2
llms.txt links resolvePass2 of 2
Markdown alternate linkFail0 of 1
Redirect hygienePass1 of 1
Page token budgetPass1 of 1
Code fence validityPass1 of 1
Content behind authPass2 of 2
OpenAPI spec publishedFail0 of 7
Markdown agent docsFail0 of 1
Markdown negotiation with VaryFail0 of 1
Markdown for agent user agentsFail0 of 1
Agent crawler reachabilityPass2 of 2

Linking and the companion file

The home page of datadoghq.com does not link the file in its HTML. Ora's lab found (2026-10-19) that 86 percent of llms.txt fetches by agents arrived through a link, so an unlinked file is mostly a file nobody opens. No llms-full.txt was found at the same root.

How it compares

At 583 KB the file is larger than 99 percent of the 2,529 plain-text llms.txt files in this edition, and its 2,431 links put it ahead of 99 percent of them on link count. The home page declares no generator. Size bucket: 100 KB and over. Tranco rank 281. Category: Infrastructure.

Live file: https://datadoghq.com/llms.txt. Read 4 November 2026. If the file has since changed or gone, the live URL is the authority; this page records what the crawl read on that date.

Sources

  1. datadoghq.com llms.txt https://datadoghq.com/llms.txt, read 4 November 2026
  2. llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
  3. Tranco list 746WX (crawl universe) https://tranco-list.eu/list/746WX, read 4 November 2026
  4. Ora: AgentReady launch post (the 86 percent finding) https://ora.ai/blog/agentready-launch, read 4 November 2026
  5. Ora llms.txt (GET /api/score/{domain} looks up a cached score) https://ora.ai/llms.txt, read 5 November 2026

Last reviewed 5 November 2026