1.93/ 5.00
cautionBeta
Mar 4, 2026 at 11:08 PM6 signals analysedNo manual reviews · fully automated
Trust Signal Breakdown
high23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

0 of 3 sub-signals with data

Known CVEsno data

Weight redistributed to sub-signals with data

Dependency Healthno data

Weight redistributed to sub-signals with data

Supply Chainno data

Weight redistributed to sub-signals with data

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 16 checks

via Health checks

Response Latency25%5.0

p99: 196ms, p50: 169ms

via Health checks

Error Rate20%1.0

25.00% error rate (4/16)

via Health checks

Incident History20%3.0

3 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

4 of 4 sub-signals with data

Commit Recency30%3.0

via GitHub

Release Cadence25%2.0

via GitHub

Issue Response20%5.0

via GitHub

CI/CD Presence25%5.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

1 of 4 sub-signals with data

Download Volumeno data

Weight redistributed to sub-signals with data

GitHub Stars100%2.0

997 stars

via GitHub

Dependent Packagesno data

Weight redistributed to sub-signals with data

Growth Trendno data

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (mit)

via GitHub

Documentation25%4.0

Good README (>2000 bytes with examples)

via GitHub

Security Policy20%2.0

No SECURITY.md found

via GitHub

Changelog25%2.0

No CHANGELOG.md and no releases found

via GitHub

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%0.0

via Fabric index

Org Maturity30%0.0

via GitHub

Community Standing20%0.0

via GitHub

Cross-Platform20%0.0

via Registry scan

About this score
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!

Package Availability (30d)
100.00%
p50: 169ms · p99: 196ms
Avg Latency
137ms
averaged across 30d health checks
Weekly Downloads
no package registry data
Transparency & Compliance3/5 passed
Open Source CodePublic repository on GitHub
OSI LicenseLicensed under MIT
DocumentationREADME with examples/code blocks
SECURITY.mdNo security policy found
API DocumentationNo API documentation detected
Incidents & Alertslast 90 days
Mar 4Trust score decreased by 1.061.93
Feb 26Trust score increased by 0.763.28
Feb 24Ref added to Trust Index2.52
Showing 3 of 3 events
Score History16 snapshots
5.003.752.501.250.00
Feb 24Mar 4
Data Sources6 indexed

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