Transparency

Methodology & Data Sources

How TRACR Intelligence analyzes blockchain wallets, scores risk exposure, and produces court-ready forensic evidence packages.

01 — Data Sources

TRACR Intelligence aggregates on-chain data from multiple sources to ensure comprehensive coverage across blockchain networks:

GoldRush / Covalent API
Multi-chain transaction indexing across Ethereum, BNB Chain, Polygon, Arbitrum, Base, Avalanche
Etherscan API
Ethereum mainnet transaction verification and fallback data source
Blockchain.info
Bitcoin address transaction history (no authentication required)
OFAC SDN List
U.S. Treasury Office of Foreign Assets Control — Specially Designated Nationals list of sanctioned entities
On-chain heuristics
Proprietary behavioral clustering and pattern recognition applied to transaction metadata

02 — Risk Scoring Methodology

TRACR uses a heuristic scoring system that assigns weights to behavioral signals detected in on-chain transaction data. Scores range from 0 to 100 and map to four risk levels:

Low

0–24

Moderate

25–49

High

50–74

Critical

75–100

The following signals and weights are applied during analysis:

Risk Signal	Weight	Severity
Interaction with flagged address	+40	Critical
Rapid transaction bursts (>30/day)	+30	High
New wallet, high activity	+25	High
Extremely high volume (>500 tx)	+20	High
Large value movement (>10 ETH)	+20	Medium
Moderate bursting (>15/day)	+15	Medium
High counterparty diversity	+15	Medium
Elevated failed transactions	+10	Medium
Elevated volume (>100 tx)	+10	Medium

* Total score is capped at 100. Weights are additive. Multiple signals compound.

03 — AI-Assisted Analysis

Full paid reports use a 4-stage AI analysis pipeline powered by Claude (Anthropic) to produce defensible, court-ready narratives:

Stage 1

Pattern Extraction

Raw transaction data is analyzed to identify behavioral patterns, flow characteristics, and temporal anomalies.

Stage 2

Risk Classification

Detected patterns are correlated with known risk typologies and scored against AML/FATF frameworks.

Stage 3

Legal Framing

Technical findings are translated into court-appropriate language — cautious, evidence-based, avoiding criminality assertions.

Stage 4

Report Synthesis

A complete forensic report is produced with executive summary, behavioral analysis, legal context, and limitations.

04 — Limitations & Boundaries

TRACR reports are analytical tools, not legal determinations. The following limitations apply to all analyses:

▸Reports are based solely on publicly available on-chain data. Off-chain activity, private transactions, and layer-2 rollup internals may not be captured.

▸Risk scores are probabilistic indicators, not proof of illicit activity. A high score indicates behavioral patterns associated with elevated risk, not confirmed wrongdoing.

▸Address clustering and counterparty attribution is based on heuristics and may produce false positives. Exchange hot wallets and shared custody services may appear as single high-volume entities.

▸TRACR does not have access to exchange KYC data, private keys, or law enforcement databases. Reports complement, but do not replace, formal legal discovery.

▸This report does not constitute legal advice. Recipients should consult qualified legal counsel before taking action based on TRACR findings.

05 — About TRACR Intelligence

TRACR Intelligence is developed by a team of legal professionals and blockchain analysts. Our reports are designed for use in active litigation, regulatory proceedings, and due diligence investigations.

Legal Coverage

NY Bar · ICC Arbitration · DIFC

Jurisdictions

12+ active jurisdictions served

Chain Coverage

ETH · BNB · Polygon · ARB · Base

Report Format

Court-ready PDF · Evidence-grade

NOT LEGAL ADVICE: TRACR Intelligence reports are generated using automated blockchain analysis tools. They are for informational purposes only and do not constitute legal advice. All risk findings are probabilistic indicators only. TRACR does not assert criminal activity. Consult qualified legal counsel before taking any action.