Federal fraud detection · public data only

Federal spending,
cross-referenced.

taxbleed.com automatically compares Medicare billing, federal loans, contractor records, sanctions lists, and exclusion databases — then surfaces patterns associated with federal fraud in plain English. Every finding is traceable to a public federal dataset.

Federal records indexed

Anomalies detected

Federal dollars in anomalies

Top anomalies by score

View all

All data sourced from public federal datasets. Anomaly scores reflect statistical deviation, not legal findings.

How it works

Three steps. No human judgment until you read the output.

01

Ingest

Nine federal datasets loaded continuously — Medicare billing, PPP loans, EIDL disaster loans, contractor registries, sanctions lists, exclusion databases, corporate ownership, and audit findings.

67M+ records

02

Detect

53 automated fraud pattern detectors cross-reference datasets by stable federal IDs — NPI, UEI, EIN, loan number. Validated at 6x precision lift over random using leave-one-out cross-validation on 10 confirmed government enforcement cases. Medicare detector weights sourced from OpenMedicare (CC BY 4.0, AUC 0.83, 1.72M providers). PPP indicators sourced from SBA OIG Report 23-09 (330 prosecuted cases).

53 detectors · 6x validated lift · published methodology

03

Analyze

Each anomaly gets a plain-English public records analysis — what the two source records show, why the pattern is statistically unusual, which federal laws may be implicated, and three ways to verify independently using public data. Every finding is traceable to a specific row in a public federal dataset.

AI-generated · statute citations · source-traceable

Fraud pattern detectors

Each detector fires only on stable federal ID joins — no name matching, no fuzzy logic.

P1

Inflated Payroll

PPP loan exceeds plausible payroll for reported headcount

P10

NPI Laundering

Excluded provider billing under a different provider NPI

P12

Telemedicine Kickback

High Part D cost + large pharma payment from same manufacturer

P14

Pharma Kickback

Extraordinary manufacturer payments correlated with prescribing volume

P18

Excluded Provider Billing

OIG-excluded NPI still generating Medicare Part B claims

P22

Contract Splitting

Multiple awards just below the simplified acquisition threshold

P32

Grant + Material Weakness

Entity received new federal award after repeat audit failures

P34

Address Cluster

Multiple distinct entities operating from one address

P45

Excluded Entity Funded

SAM-excluded company still receiving federal contracts

P51

Peer-Group Drug Cost Outlier

Provider drug spend 5× their specialty's 99th percentile

Data sources

All data is sourced from public federal datasets. Every finding can be independently verified by downloading the cited source file from the URL shown in each record.

SAM.gov

Federal exclusions & entity registry

CMS Part B / Part D

Medicare provider billing records

SBA PPP / EIDL

COVID-19 emergency loan data

OIG LEIE

HHS excluded individuals & entities

OFAC SDN

Treasury sanctions list

USAspending.gov

Federal contracts & grants

NPPES

National provider registry

GLEIF

Global corporate ownership chains

Federal Audit Clearinghouse

Audit findings on federal grantees

Open Payments (CMS)

Pharma manufacturer payments to providers

CMS Medicare Revocations

Providers with revoked Medicare enrollment (7,465 records)

Important

Anomaly scores reflect statistical deviation from patterns in public federal data. They are not findings of fraud, wrongdoing, or legal violation. Whether a statistical anomaly constitutes illegal conduct requires investigation beyond what public records can establish. All entity names and data points shown are drawn from public federal government datasets and are accurate as of the date of ingestion.