FinancialData.Net

Name: FinancialData.Net
Rating: 2.99 (1 reviews)
Author: financial-data

#1728 · by financial-data

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: 97ms, p50: 67ms

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

A comprehensive MCP server delivering real-time and historical market data across stocks, ETFs, indices, forex, crypto, commodities, and derivatives. Beyond raw prices, it exposes tools for querying global financial statements, insider trading and ownership logs, institutional holdings, valuation and risk ratios, ESG metrics, and corporate actions. It also includes macroeconomic indicators and event calendars (economic releases, earnings, dividends, splits), enabling agents to run end-to-end workflows—from market screening to corporate and cross-asset analysis—backed by consistent, queryable datasets. Usage examples: Alpha Analysis "Check NVIDIA’s TTM performance against the S&P 500 and calculate the alpha generated." Profitability Comparison "Compare the net income growth and profit margins of AAPL and MSFT for the current fiscal year." Historical Valuation "Assess if Eli Lilly is undervalued by comparing its current P/E ratio to its five-year historical average." For more detail

Package Availability (30d)

100.00%

p50: 67ms · p99: 97ms

Avg Latency

74ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Incidents & Alertslast 90 days

Feb 24FinancialData.Net added to Trust Index2.52

Showing 1 of 1 events