Financial Intelligence API

Detect Financial Fraud Before It Hits Your Portfolio

Six institutional-grade financial models in a single API call. Beneish M-Score, Altman Z-Score, Piotroski F-Score, and more — from one REST endpoint.

0
Financial Models
0+
Tickers Supported
<0ms
Avg Response Time

See It In Action

Enter any stock ticker to get a comprehensive financial risk analysis powered by established academic models.

Apple Inc.AAPL

Technology · 2026-02-21

22Risk Score
LOW Risk

Apple Inc. shows strong financial health with low manipulation risk and solid fundamentals.

Beneish M-Score
Altman Z-Score
Piotroski F-Score
Accrual Analysis

Red Flags (2)

How It Works

From ticker to intelligence in under 200ms.

Step 1

Send Ticker

Make a single API call with any stock ticker symbol.

GET /v1/scan/AAPL
Step 2

We Crunch Numbers

Six financial models analyze income statements, balance sheets, and cash flows.

6 models x 5 years data
Step 3

Get Intelligence

Receive structured risk assessment with scores, flags, and plain-language explanations.

{ compositeRisk: 22 }

Institutional-Grade Financial Models

Built on peer-reviewed academic research, each model targets a different dimension of financial risk.

Beneish M-Score

Detects earnings manipulation using 8 financial ratios

> -2.22 = likely manipulator

Beneish, M.D. (1999)Financial Analysts Journal

Altman Z-Score

Predicts bankruptcy probability within 2 years

< 1.81 distress | > 2.99 safe

Altman, E.I. (1968)Journal of Finance

Piotroski F-Score

Evaluates financial strength on 9 binary criteria

0-9 score (9 = strongest)

Piotroski, J.D. (2000)Journal of Accounting Research

Accrual Quality

Measures earnings quality via cash flow analysis

OCF / Net Income < 1.0 = poor

Sloan, R.G. (1996)The Accounting Review

Composite Risk Score

Weighted combination of all models into 0-100 score

0 = safe | 100 = highest risk

ProprietaryFinScan methodology

One Endpoint. Complete Analysis.

A single REST call returns six financial models with plain-language explanations.

Request
curl -H "X-API-Key: YOUR_KEY" \
  https://api.finscan.dev/v1/scan/AAPL
Response — 200 OK142ms
{
  "ticker": "AAPL",
  "companyName": "Apple Inc.",
  "sector": "Technology",
  "compositeRisk": {
    "score": 22,
    "riskLevel": "LOW",
    "summary": "Low overall financial risk"
  },
  "beneishScore": {
    "mScore": -2.87,
    "interpretation": "Unlikely manipulator",
    "isLikelyManipulator": false
  },
  "altmanScore": {
    "zScore": 4.12,
    "zone": "SAFE",
    "interpretation": "Low bankruptcy risk"
  },
  "piotroskiScore": {
    "fScore": 7,
    "maxScore": 9,
    "interpretation": "Strong financial health"
  }
}

Supporting 10,000+ tickers across NYSE, NASDAQ, and global exchanges

AAPL
MSFT
GOOGL
AMZN
TSLA
META
NVDA
JPM
BAC
GS
V
MA
UNH
JNJ
PG
HD
DIS
NFLX
CRM
ADBE
AAPL
MSFT
GOOGL
AMZN
TSLA
META
NVDA
JPM
BAC
GS
V
MA
UNH
JNJ
PG
HD
DIS
NFLX
CRM
ADBE
AAPL
MSFT
GOOGL
AMZN
TSLA
META
NVDA
JPM
BAC
GS
V
MA
UNH
JNJ
PG
HD
DIS
NFLX
CRM
ADBE
AAPL
MSFT
GOOGL
AMZN
TSLA
META
NVDA
JPM
BAC
GS
V
MA
UNH
JNJ
PG
HD
DIS
NFLX
CRM
ADBE

Simple, Transparent Pricing

Start free, scale as you grow. All plans include access to every financial model.

Free

Free

10 scans per month

  • 10 scans per month
  • All 6 financial models
  • JSON API response
  • Community support

Starter

$29/month

100 scans per month

  • 100 scans per month
  • All 6 financial models
  • JSON API response
  • Email support
  • Batch scanning
Most Popular

Professional

$79/month

500 scans per month

  • 500 scans per month
  • All 6 financial models
  • JSON API response
  • Priority support
  • Batch scanning
  • Webhook notifications

Enterprise

$199/month

Unlimited scans

  • Unlimited scans
  • All 6 financial models
  • JSON API response
  • Dedicated support
  • Batch scanning
  • Webhook notifications
  • Custom integrations

Built on Peer-Reviewed Research

Beneish, M.D. (1999)

The Detection of Earnings Manipulation.” Financial Analysts Journal

Altman, E.I. (1968)

Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy.” Journal of Finance

Piotroski, J.D. (2000)

Value Investing: The Use of Historical Financial Statement Information.” Journal of Accounting Research

Sloan, R.G. (1996)

Do Stock Prices Fully Reflect Information in Accruals and Cash Flows?.” The Accounting Review

Start Scanning Financial Statements Today

Detect earnings manipulation, predict bankruptcy risk, and assess financial strength — all from a single API.

Free tier: 10 scans/month. No credit card required.