earnings-quality

AAAS — Accrual Anomaly Audit Screening. Forensic screening for U.S. public-company filings: Beneish M-Score, Altman Z, Dechow F, Jones discretionary accruals, REM and an SEC-enforcement-trained ML ensemble. Free during early access. Proprietary, not open source.

Local-first financial statement analysis — forensic cleaning with a full audit log (万/亿 units), provenance-stamped ratios, exact DuPont attribution, AAII + Beneish red flags with per-flag counterfactuals, BYOK AI

FY26 earnings-quality screen across four listed Indian EPC companies using Sloan (1996) total accruals. Every figure page-cited and reconciled.

Forensic screen on Super Micro rebuilt point in time from SEC filings: Beneish M-score and Dechow F-score before the 2024 short report, a back-test on 14 SEC cases and the June 2025 view. Interactive page, Colab notebook, Excel screen, memo and deck.

A public dashboard that screens SEC filings for published earnings-quality red flags (Beneish M-Score inspired), with a transparent, methodology-cited risk score and an optional BYOK LLM explanation layer.

AAAS — Accrual Anomaly Audit Screening. Forensic screening for U.S. public-company filings: Beneish M-Score, Altman Z, Dechow F, Jones discretionary accruals, REM and an SEC-enforcement-trained ML ensemble. Free during early access. Proprietary, not open source.