Mar 3, 2026 at 7:21 AM 6 signals analysed No manual reviews · fully automatedTrust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety ×0.25 0.0 CVEs, dependency health, and supply chain integrity
0 of 3 sub-signals with data
Known CVEs no data —
Weight redistributed to sub-signals with data
Dependency Health no data —
Weight redistributed to sub-signals with data
Supply Chain no data —
Weight redistributed to sub-signals with data
Operational Reliability ×0.15 3.4 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 4 checks
via Health checks
Response Latency 25% 4.0
p99: 444ms, p50: 195ms
via Health checks
Error Rate 20% 1.0
25.00% error rate (1/4)
via Health checks
Incident History 20% 2.0
4 incidents in last 90 days
via Incidents table
Maintenance Activity ×0.15 2.0 Commit recency, release cadence, issue response, CI/CD
3 of 4 sub-signals with data
Commit Recency 37% 2.0
via GitHub
Release Cadence 31% 2.0
via GitHub
Issue Response no data —
Weight redistributed to sub-signals with data
CI/CD Presence 31% 2.0
via GitHub Actions
Adoption ×0.15 0.0 Downloads, stars, dependents, and growth trajectory
1 of 4 sub-signals with data
Download Volume no data —
Weight redistributed to sub-signals with data
GitHub Stars 100% 0.0
9 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 3.4 License, documentation, security policy, changelog
4 of 4 sub-signals with data
Open Source 30% 5.0
Public repo with OSI-approved license (apache-2.0)
via GitHub
Documentation 25% 4.0
Good README (>2000 bytes with examples)
via GitHub
Security Policy 20% 2.0
No SECURITY.md found
via GitHub
Changelog 25% 2.0
No CHANGELOG.md and no releases found
via GitHub
Publisher Trust ×0.15 2.5 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 1.5
Internal: 1.0 (0 services), External: 1.5 (24 followers, 1 stars)
via Fabric index
Org Maturity 30% 5.0
User account, 6.5 years old
via GitHub
Community Standing 20% 2.0
9 public repositories
via GitHub
Cross-Platform 20% 1.0
Present on 1 platform(s): github
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
OpenData MCP는 표준화된 MCP 인터페이스를 통해 공공데이터 자원에 대한 접근을 제공합니다. 키워드 검색으로 API 목록을 조회하고, 표준 문서를 자동 생성하며, OpenAPI 엔드포인트를 직접 호출할 수 있습니다. 클라이언트가 다양한 공공데이터 자원을 원활하게 탐색하고 활용할 수 있도록 지원하며, 외부 데이터를 LLM 애플리케이션에 통합하여 향상된 컨텍스트와 기능을 제공합니다.
OpenData MCP provides access to open data resources through a standardized MCP interface. Search APIs by keywords, automatically generate standard documentation, and directly call OpenAPI endpoints. Enables clients to seamlessly explore and utilize various open data resources while integrating external data into LLM applications for enhanced context and capabilities.
Package Availability (30d)
100.00%
p50: 195ms · p99: 444ms
Avg Latency
204ms
averaged across 30d health checks
Weekly Downloads
—
no package registry data
Transparency & Compliance 3/5 passed
Incidents & Alerts last 90 days
Score History 4 snapshots
Feb 24 Mar 1
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
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