Forensic screening for U.S. public-company financial statements. Six classical forensic layers — Beneish M-Score, Altman Z-Score, Dechow F-Score, Jones discretionary accruals, Roychowdhury REM and SOM clustering — plus a machine-learning ensemble trained on SEC enforcement cases, producing one 0–100 accrual-anomaly score with a complete show-the-math audit trail. Free during early access.

Advanced auto-binning application for credit scoring and risk management. Provides precision, flexibility, and control with automated optimal binning, monotonic bad-rate trends, and special value handling for building statistically robust and compliant credit score models.