FIRST CVSS Severity Index - Free Exploit Probability API avatar

FIRST CVSS Severity Index - Free Exploit Probability API

Pricing

$100.00 / 1,000 charged when a dividend safety analysis is successes

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FIRST CVSS Severity Index - Free Exploit Probability API

FIRST CVSS Severity Index - Free Exploit Probability API

Free API for FIRST EPSS (Exploit Prediction Scoring System). No subscription. Get exploit probability scores and prioritize vulnerability patching. Government data, pay-per-use.

Pricing

$100.00 / 1,000 charged when a dividend safety analysis is successes

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Developer

daehwan kim

daehwan kim

Maintained by Community

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2

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1

Monthly active users

5 days ago

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Dividend Safety Analyzer

Analyze dividend safety for any US-listed stock using SEC EDGAR financial filings and FRED macroeconomic data. Returns a 0-100 safety score, A+ to F grade, and actionable verdict — ideal for income investors, financial advisors, and portfolio risk tools.

What It Does

For each ticker symbol, this actor fetches real SEC EDGAR company facts (annual 10-K filings) and computes four weighted dimensions:

DimensionWeightWhat It Measures
Payout Ratio25 ptsDividends paid vs. earnings per share
Dividend Growth25 ptsConsecutive years of growth + CAGR
Earnings Stability25 ptsEPS volatility coefficient + negative years
Debt Coverage25 ptsLong-term debt relative to earnings

Total score: 0-100. Grade: A+ to F.

Use Cases

  • Income investors — Screen dividend stocks before buying
  • Financial advisors — Quickly assess dividend sustainability for client portfolios
  • Portfolio risk tools — Batch-analyze dividend payers for risk flags
  • Fintech apps — Embed dividend quality scores in investment platforms
  • Robo-advisors — Filter high-yield dividend traps from safe dividend growers

Input

{
"ticker": "JNJ",
"years": 5
}
FieldTypeRequiredDefaultDescription
tickerstringYesJNJStock ticker symbol. Supports comma-separated batch (e.g., "JNJ,KO,PG")
yearsintegerNo5Years of historical data to analyze (1-10)

Output

{
"ticker": "JNJ",
"safetyScore": 82,
"grade": "B+",
"verdict": "Safe dividend — solid fundamentals with manageable payout ratio",
"payoutRatio": { "ratio": 0.44, "score": 20, "maxScore": 25 },
"dividendGrowth": { "cagr": 5.2, "consecutiveGrowthYears": 5, "score": 25, "maxScore": 25 },
"earningsStability": { "volatilityCoefficient": 0.12, "negativeEarningsYears": 0, "score": 22, "maxScore": 25 },
"debtCoverage": { "debtToEarningsRatio": 2.1, "score": 15, "maxScore": 25 },
"flags": [],
"scoreBreakdown": { "payoutRatioScore": 20, "dividendGrowthScore": 25, "earningsStabilityScore": 22, "debtCoverageScore": 15 },
"sources": ["SEC EDGAR Company Facts", "FRED Federal Reserve"],
"timestamp": "2025-03-17T00:00:00.000Z"
}

Score Guide

ScoreGradeMeaning
90-100A / A+Highly safe — consistent growth, strong coverage
75-89B / B+Safe — solid fundamentals
50-74CModerate risk — some sustainability concerns
25-49DElevated risk — cut possible in downturn
0-24FHigh cut risk — unsustainable payout

Risk Flags

  • HIGH_PAYOUT_RATIO — Payout ratio > 90%
  • PAYOUT_EXCEEDS_EARNINGS — Dividends exceed earnings (ratio > 100%)
  • NO_DIVIDEND_GROWTH — No consecutive growth years detected
  • NEGATIVE_EARNINGS_YEARS — Company had loss years in the analysis window
  • HIGH_DEBT_LOAD — Debt-to-earnings ratio > 6x

Data Sources

  • SEC EDGARdata.sec.gov/api/xbrl/companyfacts — Annual 10-K filings for EPS, dividends, long-term debt
  • FRED (Federal Reserve)api.stlouisfed.org — Fed funds rate for macro context

All data is fetched in real time from official public APIs. No third-party data providers or subscriptions required.

Pricing

Pay-per-event: $0.05 per ticker analyzed.

Analyzing 10 tickers = $0.50. Batch input supported — pass comma-separated tickers.

Example: Batch Analysis

{
"ticker": "JNJ,KO,PG,MMM,T",
"years": 5
}

Returns one result per ticker, each with full score breakdown and flags.

Limitations

  • Requires SEC EDGAR CIK lookup — works for US-listed companies with 10-K filings
  • Funded ratio data comes from annual 10-K filings; REITs and MLPs may show distorted payout ratios by design
  • FRED macro context uses national-level rates, not company-specific

About

Built by NtriqPRO — financial data intelligence tools for Apify Store.