Independent Forensic Tool:Data sourced from public records and represents best estimates. Users should verify independently before citing as fact. Not affiliated with MN DHS.
RETURN_TO_DASHBOARD

METHODOLOGY// DATA_INTEGRITY_PROTOCOLS

Our analysis relies on cross-referencing disparate public record datasets to rebuild the hidden connections between entities. Below is the documentation for our data sources, ingestion pipelines, and risk scoring algorithms.

1. DATA_SOURCES

Primary Dataset: MN DHS License Lookup

We utilize a snapshot of the Minnesota Department of Human Services Licensing Lookup tool. Data points include License Number, Status, Type, owner, and Address.

SNAPSHOT DATE: Dec 30, 2025

Secondary Dataset: Federal Indictments

Entities and individuals named in federal indictments (United States v. [Name]) are manually flagged and cross-referenced against the state license database.

2. RISK_SCORING_ALGORITHM

The Risk Score (0-100) is a weighted metric indicating the likelihood of fraudulent activity or regulatory non-compliance.

Base Score: Active License0 POINTS
Conditional / Suspended Status+50 POINTS
Revoked / Denied Status+100 POINTS
Network Link to Indicted Entity+25 POINTS
High-Risk Address Cluster+15 POINTS

3. PATTERN_DETECTION

We employ graph theory to identify Address Clusters and Ownership Networks.

  • Shared Identity Detection: Fuzzy matching is used to link owners with slight name variations (e.g., John Smith vs John A. Smith).
  • The 'Phoenix' Pattern: Our system specifically flags new entities that open at the exact address of a recently revoked entity, often indicating an attempt to bypass sanctions.