Full LLM thinking from the 4-phase benchmark pipeline.
{
"service_type": "platform",
"base_url": "https://devdocs.io",
"auth_method": "none",
"auth_config": {},
"endpoints": [],
"pricing_model": {
"type": "free",
"details": {
"model": "Completely free and open source, no paid tiers",
"source_available": true
}
},
"rate_limits": {},
"capabilities": [
"Offline-capable API documentation browser",
"Aggregates docs for hundreds of libraries, frameworks, and APIs",
"Instant fuzzy search across all indexed documentation",
"Client-side only — no server-side data submission or accounts",
"Installable as a Progressive Web App (PWA) for desktop/mobile",
"Open-source, self-hostable (devdocs.io source on GitHub)",
"Keyboard shortcuts and a command palette for navigation",
"Supports selecting/deselecting individual docsets to enable",
"Documentation versions can be selected where applicable",
"Designed for developers, no integration endpoints exposed to third parties"
],
"raw_analysis": "DevDocs (devdocs.io) is a web-based documentation browser and aggregator created by Thibaut Courouble. It is not a traditional SaaS platform with a public REST API; it is a client-side JavaScript application that bundles documentation from many upstream projects. It offers no authentication, no user accounts, no rate limits, no pricing tiers, and no public API endpoints for programmatic access. It can be run offline and installed as a PWA. Its main value is rapid search across API docs. Any 'integration' happens by embedding or self-hosting the open-source project, not via an API."
}2/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | 200 | 150ms |
| robots_txt | GET /robots.txt | 200 | 50ms |
| llms_txt | GET /llms.txt | 404 | 63ms |
{
"overall": 72,
"dimensions": {
"token_efficiency": 9.0,
"first_try_success": 9.0,
"response_parseability": 5.0,
"error_clarity": 7.0,
"doc_quality": 8.0,
"auth_simplicity": 10.0,
"latency": 10.0,
"consistency": 8.0
},
"pricing_normalized": {
"model": "free",
"paid_tiers": false,
"open_source": true,
"cost_per_seat": 0
},
"issues": [
"No public API or structured data endpoints — agents cannot programmatically query docsets",
"No llms.txt (404) making it harder for AI agents to discover capabilities",
"Client-side-only architecture limits programmatic/agent access to documentation",
"robots.txt disallows /settings but provides no sitemap reference for agent crawling"
],
"recommendations": [
"Publish an llms.txt describing capabilities, docsets, and search semantics for AI agents",
"Expose a lightweight read-only JSON API for docset listing and search to enable agent use",
"Add a machine-readable sitemap and OpenAPI/JSON schema for docs indices",
"Provide structured metadata about docset versions for downstream tooling",
"Document programmatic access patterns and rate limits in help docs"
]
}Show your live agent-readiness score on your own site. Free, no auth — it updates as your score changes.
<a href="https://prowl.world/service/devdocs">
<img src="https://prowl.world/badge/devdocs.svg" height="56" alt="Agent-readiness on Prowl">
</a>
See operational metrics, LLM evaluations, agent readiness, and more.
Open in Dashboard