# Datadog — API Agent Score

> Score: 75/100 (Grade: B) | Domain: datadog.com | Rubric: 1.0.0 | Checked: August 11, 2026

Datadog scored 75/100 (B), classified "partially-ready".

[View full report](https://www.postman.com/ai/ai-ready-apis/company/datadog)
[All organizations](https://www.postman.com/ai/ai-ready-apis/llms.txt)

## Summary

- Overall: 75/100 (B)
- Classification: partially-ready

## Category Scores

- API Design: 76/100 (B)
- Developer Experience: 100/100 (A+)
- Agent Discovery: 66/100 (C)
- Agent Understanding: 86/100 (A)
- Agent Usability: 59/100 (D)

## Check Results

### API Design

- [pass] Auth declared & discoverable — Authentication required (global or on every operation). Investigated: spec 100%, docs 100%, wellknown 0%.
- [warn] Machine-readable, versioned contract — info.version="1.0" set but no versioning scheme (URL / header / media type) detected. Investigated: spec 75%, docs 50%.
- [pass] Security & governance hygiene — No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 50%.
- [warn] Schema coverage & depth — 82% of operations have documented schemas (target 95%+). Investigated: spec 50%.
- [fail] Example coverage — 28% example coverage. Investigated: spec 0%.

### Developer Experience

- [pass] Self-service developer portal — Self-service signup at https://www.datadoghq.com/free-datadog-trial/; free tier / sandbox documented. Investigated: docs 100%.
- [pass] Description completeness — 93% of operations + parameters have substantive descriptions. Investigated: spec 100%.
- [pass] Changelog published — Newest official SDK activity 0 day(s) ago. Investigated: sdk 100%, spec 0%, docs 0%.
- [skip] Quickstart present — No surface produced evidence for this capability in this run.
- [skip] Code samples in docs — No surface produced evidence for this capability in this run.

### Agent Discovery

- [pass] Registry & SDK presence — Indexed on Context7 (datadog/documentation, 36641 snippets). Investigated: docs 100%, sdk 100%, cli 0%.
- [pass] Crawlable / AEO — Sitemap with 100% lastmod coverage; newest entry < 90 days old. Investigated: wellknown 100%.
- [fail] llms.txt present, valid & comprehensive — No /llms-full.txt found at the candidate origins. Investigated: docs 0%.
- [skip] Docs reachable, not hard auth-gated — No surface produced evidence for this capability in this run.

### Agent Understanding

- [pass] Machine-readable errors (RFC 9457) — 15 distinct 4xx/5xx response codes documented. Investigated: docs 100%, spec 50%.
- [pass] Operation purpose clarity — 100% of operations have a clear summary + operationId an agent can select on. Investigated: spec 100%.
- [fail] Agent instructions file (AGENTS.md) — No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.
- [skip] Agent-navigable, token-efficient docs — No surface produced evidence for this capability in this run.
- [skip] Docs structured data — No surface produced evidence for this capability in this run.
- [skip] Description consistency across surfaces — Only 1 surface description(s) with ≥6 tokens available; need at least 2 to compare.

### Agent Usability

- [pass] Pagination documented & consistent — Pagination params detected on 304 list endpoint(s). Investigated: spec 100%, docs 100%.
- [pass] Sandbox separation — Test credentials signaled (test-key prefixes) but no sandbox server declared in spec. Investigated: spec 100%, docs 100%.
- [warn] Runnable collection with test scripts — No test scripts found in the workspace's collections. Investigated: platform 50%.
- [fail] Idempotency documented — 1% of mutating operations document idempotency. Investigated: spec 0%, docs 0%.
- [fail] Rate-limit signaling — No rate-limit response headers documented. Investigated: spec 0%, docs 0%.

## Executive Summary

Datadog's API program has meaningful strengths in schema design and machine-readable contract quality, but two areas are putting partner outcomes at risk. Agent usability is the most urgent gap: without idempotency documentation or consistent rate-limit signaling, partners and their AI agents will hit unpredictable failures in production workflows. Agent and documentation discovery is equally exposed — no llms.txt or agent instructions file means AI-powered tools cannot reliably find or reason about Datadog's APIs without human intervention. Prioritize making the API surface operationally trustworthy and agent-discoverable first, then close the example coverage gap so partners can build confidently from day one.