Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)
Trust AssessmentAI Assessment
Provide your AI coding tools with token-efficient access to up-to-date technical documentation for APIs, services, libraries, and more. Enable powerful search and reading capabilities to help your agent find precise information from documentation and web pages.
Learn more: https://ref.tools
How is this different from Context7?
- Context7 works by looking up a library and giving you the 10k most relevant tokens. If you have 2 libraries, that's 20k tokens etc. It's unlikely you need all of that and it's costly. Ref uses on average 60% fewer tokens and up to 95% fewer (eg 500 tokens instead of 10000) in some cases.
- Ref supports indexing private GitHub repos and PDFs so you can bring your own context as well.
Want to chat or have a feature request?
- Reach out to hello@ref.tools and say hi!