Padel Analyst logo

Padel Analyst

#5732 · by ferranfg
1.01/ 5.00
cautionBeta
Mar 5, 2026 at 7:48 AM6 signals analysedNo manual reviews · fully automated
Trust Signal Breakdown
low23 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 4 checks

via Health checks

Response Latency25%5.0

p99: 60ms, p50: 57ms

via Health checks

Error Rate20%1.0

100.00% error rate (4/4)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

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

0 of 4 sub-signals with data

Commit Recencyno data

Weight redistributed to sub-signals with data

Release Cadenceno data

Weight redistributed to sub-signals with data

Issue Responseno data

Weight redistributed to sub-signals with data

CI/CD Presenceno data

Weight redistributed to sub-signals with data

Downloads, stars, dependents, and growth trajectory

0 of 4 sub-signals with data

Download Volumeno data

Weight redistributed to sub-signals with data

GitHub Starsno data

Weight redistributed to sub-signals with data

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

0 of 4 sub-signals with data

Open Sourceno data

Weight redistributed to sub-signals with data

Documentationno data

Weight redistributed to sub-signals with data

Security Policyno data

Weight redistributed to sub-signals with data

Changelogno data

Weight redistributed to sub-signals with data

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%1.5

Internal: 1.0 (0 services), External: 1.5 (0 followers, 152 stars)

via Fabric index

Org Maturity30%5.0

User account, 16.1 years old

via GitHub

Community Standing20%3.0

12 public repositories

via GitHub

Cross-Platform20%1.0

Present on 1 platform(s): github

via Registry scan

Limited data available — 4 of 6 signals pending evaluation

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

**Padel Analyst** by [Padel API](https://padelapi.org) is an MCP server that connects AI assistants to professional padel data. It allows you to ask natural language questions about players, tournaments, matches, and statistics without writing any code. **Prerequisites** **1. Subscribe to the Analyst Plan** Sign up for the [Analyst Plan](https://padelapi.org/billing) (19€/month) which includes: - Up to 50K requests/month - MCP Server Access - Works with ChatGPT - Natural language queries - Basic support **2. Create an API Token** Generate your personal API token from the [API Tokens](https://padelapi.org/user/api-tokens) page. You’ll need this to authenticate MCP requests. [Learn more about Padel Analyst →](https://docs.padelapi.org/padel-analyst)

Package Availability (30d)
100.00%
p50: 57ms · p99: 60ms
Avg Latency
43ms
averaged across 30d health checks
Weekly Downloads
no package registry data
Incidents & Alertslast 90 days
Mar 5Trust score decreased by 2.231.01
Feb 24Padel Analyst added to Trust Index2.52
Showing 2 of 2 events
Score History4 snapshots
5.003.752.501.250.00
Feb 24Mar 5
Data Sources6 indexed

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