# Anyscale — API Agent Score

> Score: 61/100 (Grade: C) | Domain: anyscale.com | Rubric: 1.0.0 | Checked: July 24, 2026

Anyscale scored 61/100 (C), classified "partially-ready".

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

## Summary

- Overall: 61/100 (C)
- Classification: partially-ready

## Category Scores

- API Design: 75/100 (B)
- Developer Experience: 68/100 (C)
- Agent Discovery: 88/100 (A)
- Agent Understanding: 59/100 (D)
- Agent Usability: 40/100 (F)

## Check Results

### API Design

- [pass] Example coverage — Code samples present on 5/20 pages across 2 language(s); broader multi-language coverage missing. Investigated: docs 100%.
- [warn] Security & governance hygiene — security.txt present but served only at the legacy /security.txt path; missing Contact; missing or expired Expires. Investigated: wellknown 50%.
- [skip] Machine-readable, versioned contract — No surface produced evidence for this capability in this run.
- [skip] Schema coverage & depth — No surface produced evidence for this capability in this run.
- [skip] Auth declared & discoverable — No surface produced evidence for this capability in this run.

### Developer Experience

- [pass] Quickstart present — Quickstart at https://docs.anyscale.com/get-started with a runnable first-call sample. Investigated: docs 100%.
- [pass] Code samples in docs — Code samples present on 5/20 pages across 2 language(s); broader multi-language coverage missing. Investigated: docs 100%.
- [fail] Self-service developer portal — Signup page is sales-gated (contact-sales/request-access language detected). Investigated: docs 0%.
- [skip] Description completeness — No surface produced evidence for this capability in this run.
- [skip] Changelog published — No surface produced evidence for this capability in this run.

### Agent Discovery

- [pass] Docs reachable, not hard auth-gated — All 50 sampled pages are publicly accessible. Investigated: docs 100%.
- [pass] Registry & SDK presence — Indexed on Context7 (websites/anyscale, 8498 snippets). Investigated: docs 100%, sdk 50%, cli 0%.
- [warn] llms.txt present, valid & comprehensive — llms.txt covers 273/498 sitemap doc pages (55%); 225 missing. Investigated: docs 75%.
- [warn] Crawlable / AEO — robots.txt blocks 4 of 7 monitored AI crawlers on docs paths (gptbot, claudebot, google-extended, ccbot). Investigated: wellknown 50%.

### Agent Understanding

- [warn] Agent-navigable, token-efficient docs — 1 of 50 sampled pages have content starting past 50% (worst 67%). Investigated: docs 83%.
- [fail] Agent instructions file (AGENTS.md) — No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.
- [fail] Docs structured data — Neither JSON-LD nor OpenGraph/meta tags detected across 3 assessed pages (3 JS-rendered). Investigated: docs 0%.
- [skip] Machine-readable errors (RFC 9457) — No surface produced evidence for this capability in this run.
- [skip] Operation purpose clarity — 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

- [fail] Runnable collection with test scripts — No public Postman workspace discovered for the org. Investigated: platform 0%.
- [skip] Idempotency documented — No surface produced evidence for this capability in this run.
- [skip] Rate-limit signaling — No surface produced evidence for this capability in this run.
- [skip] Pagination documented & consistent — No surface produced evidence for this capability in this run.
- [skip] Sandbox separation — No surface produced evidence for this capability in this run.

## Executive Summary

Anyscale's API program shows strong discoverability fundamentals, but partners and their AI agents hit a wall once they arrive: there are no machine-readable agent instructions, no structured data for AI parsing, and no runnable collection to validate real workflows. These gaps mean agents building on Anyscale's APIs must guess at context, cannot self-orient, and have no executable ground truth to work from — all of which slow partner integration and erode trust. Closing the agent-context and runnable-truth gaps should be the immediate priority, followed by giving partners a self-serve onboarding path.