Mar 20, 2026 at 5:02 AM 6 signals analysed No manual reviews · fully automatedTrust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety ×0.25 4.6 CVEs, dependency health, and supply chain integrity
3 of 3 sub-signals with data
Known CVEs 40% 5.0
No known CVEs
via OSV.dev
Dependency Health 30% 4.0
46 dependencies (low)
via npm / PyPI
Supply Chain 30% 4.8
35 transitive CVEs found (penalty: -0.25)
via npm provenance
Operational Reliability ×0.15 4.2 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 24 checks
via Health checks
Response Latency 25% 5.0
p99: 84ms, p50: 23ms
via Health checks
Error Rate 20% 5.0
0.00% error rate (0/24)
via Health checks
Incident History 20% 1.0
6 incidents in last 90 days
via Incidents table
Maintenance Activity ×0.15 5.0 Commit recency, release cadence, issue response, CI/CD
3 of 4 sub-signals with data
Commit Recency 37% 5.0
via GitHub
Release Cadence 31% 5.0
via GitHub
Issue Response no data —
Weight redistributed to sub-signals with data
CI/CD Presence 31% 5.0
via GitHub Actions
Adoption ×0.15 4.7 Downloads, stars, dependents, and growth trajectory
2 of 4 sub-signals with data
Download Volume 55% 4.5
1,439,037 weekly downloads
via npm / PyPI
GitHub Stars 45% 5.0
46,599 stars
via GitHub
Dependent Packages no data —
Weight redistributed to sub-signals with data
Growth Trend no data —
Weight redistributed to sub-signals with data
Transparency ×0.15 4.2 License, documentation, security policy, changelog
4 of 4 sub-signals with data
Open Source 30% 5.0
Public repo with OSI-approved license (mit)
via GitHub
Documentation 25% 5.0
Docs site present with comprehensive README (>2000 bytes + examples)
via GitHub
Security Policy 20% 2.0
No SECURITY.md found
via GitHub
Changelog 25% 4.0
Releases exist but no CHANGELOG.md
via GitHub
Publisher Trust ×0.15 3.6 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 4.5
Internal: 1.0 (0 services), External: 4.5 (1810 followers, 54384 stars)
via Fabric index
Org Maturity 30% 3.5
Organization, 1.8 years old
via GitHub
Community Standing 20% 3.0
30 public repositories
via GitHub
Cross-Platform 20% 3.0
Present on 2 platform(s): github, pypi
via Registry scan
About this scoreScored across 23 sub-signals in 6 dimensions Scoring engine v1 (beta) — actively being expanded Phase 1: Core sub-signal architecture (live) Phase 2: Permission scope & expanded collection (in progress)
Trust Assessment AI Assessment
CrewAI is a multi-agent orchestration framework published by crewAIInc on PyPI with an unknown license, designed for coordinating autonomous AI agents on complex tasks. The service shows critical transparency gaps with zero scores across maintenance, adoption, transparency, and publisher trust signals, despite clean vulnerability and operational metrics. With 46 dependencies and no visible maintenance or publisher verification data, organizations should conduct additional due diligence before deploying this framework in production environments.
Generated by Fabric AI · Mar 4, 2026 at 4:58 AM
Package Availability (30d)
100.00%
p50: 23ms · p99: 84ms
Avg Latency
29ms
averaged across 30d health checks
Weekly Downloads
1.4M
PyPI weekly
Transparency & Compliance 4/5 passed
Incidents & Alerts last 90 days
Score History 90 snapshots
Feb 22 Feb 26
Community & Ecosystem adoption signals
Supply Chain & Dependencies trust chain
Showing 6 of 47 dependencies Show more →
Data Sources 6 indexed
◎
OSV.dev CVE database · vulnerability scanning for npm & PyPI packages
◈
GitHub API Commits, issues, releases, repo metadata, transparency checks
⬡
npm Registry Package metadata, weekly downloads, maintainers, dependencies
⬡
PyPI Package metadata, weekly downloads, dependency tree
△
HTTP Health Checks 15-min pings · uptime, latency, status monitoring
◎
PyPI Stats Download statistics and trends
Version History score per release
VERSION RELEASED SCORE DELTA
Showing 6 of 10 releases Show more →
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