Seah Boon Keong - Chat with OpenDOSM Datasets

Name: Seah Boon Keong - Chat with OpenDOSM Datasets
Rating: 2.99 (1 reviews)
Author: seahbk1006

#1728 · by seahbk1006

agent tool-use multi-step

2.99/ 5.00

cautionBeta

Mar 3, 2026 at 7:21 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—

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Dependency Healthno data—

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Supply Chainno data—

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Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 3 checks

via Health checks

Response Latency25%5.0

p99: 58ms, p50: 44ms

via Health checks

Error Rate20%1.0

100.00% error rate (3/3)

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—

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Release Cadenceno data—

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Issue Responseno data—

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CI/CD Presenceno data—

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Downloads, stars, dependents, and growth trajectory

0 of 4 sub-signals with data

Download Volumeno data—

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GitHub Starsno data—

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Dependent Packagesno data—

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Growth Trendno data—

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License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

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Documentationno data—

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Security Policyno data—

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Changelogno data—

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Track record, org maturity, community standing

0 of 4 sub-signals with data

Track Recordno data—

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Org Maturityno data—

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Community Standingno data—

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Cross-Platformno data—

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Limited data available — 5 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

MCP for public datasets OpenDOSM (Developed by Seah Boon Keong) What it delivers: - 163 curated datasets (Department of Statistics Malaysia + sources) - Programmatic tools: discover, query, get latest, correlation, ARIMA forecasts (with fallback) Benefits: Accessibility - Economists, analysts, and policymakers can interact without technical barriers. Speed - Instant retrieval of complex datasets. Ability to support forecast and correlation features. Integration - Enable integration to dashboards that supports MCP. Sample Queries 1. What are the monthly CPI trends overall and by division (food, transport, housing)? 2. Which items are driving food inflation vs core inflation? 3. How sensitive is GDP growth to changes in key subcomponents (investment, consumption)?

Package Availability (30d)

100.00%

p50: 44ms · p99: 58ms

Avg Latency

38ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Incidents & Alertslast 90 days

Feb 24Seah Boon Keong - Chat with OpenDOSM Datasets added to Trust Index2.52

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