Documentation

Learn how to use Trailbit's blockchain analysis tools to trace Bitcoin transactions, detect patterns, assess risk, and generate compliance reports.

Transaction Tracing

Trace Bitcoin fund flows forward or backward through the blockchain with interactive visualization

What is it?

Transaction Tracing helps you follow the money by creating an interactive graph showing how Bitcoin flows between addresses. Start with any transaction and trace funds forward (where did they go?) or backward (where did they come from?).

How to use:

1.Enter a transaction ID (TXID) or Bitcoin address in the input field. Supports Legacy (1...), P2SH (3...), and Bech32 (bc1...) formats.
2.Configure trace options including direction (forward, backward, or both), maximum depth, and minimum value filters.
3.Explore the graph by clicking nodes to view details, zooming, panning, and changing layout modes (force-directed or hierarchical).
4.Save to dataset to run advanced analysis including pattern detection, entity attribution, and risk scoring.

Key Features:

Bidirectional tracing with configurable depth
Interactive graph with zoom, pan, and node selection
Multiple layout algorithms for different visualization needs
Real-time blockchain data integration
Save traces to your dashboard for later access
Export visualizations as PNG images

Transaction Explorer

Examine individual Bitcoin transactions with detailed inputs, outputs, and analysis

What is it?

The Transaction Explorer provides detailed analysis of individual Bitcoin transactions, showing all inputs and outputs, fees, timestamps, and applying heuristic analysis to identify change addresses and transaction patterns.

How to use:

1.Enter a transaction hash (64-character TXID) in the search field.
2.Review transaction details including block height, timestamp, total value, fees, and confirmation status.
3.Click "Analyze" to run heuristic analysis and identify potential change addresses and patterns.
4.Navigate to related transactions by clicking on input or output addresses.

Key Features:

Complete transaction metadata and confirmation details
Input and output breakdown with amounts and script types
Heuristic-based change address detection
Fee analysis and fee rate calculation
Direct links to trace from any address

Bulk Analysis & Datasets

Upload transaction datasets for comprehensive analysis with pattern detection and risk scoring

What is it?

Bulk Analysis lets you upload CSV files containing hundreds or thousands of transactions for comprehensive analysis. Each dataset gets four specialized dashboards for pattern detection, entity attribution, technical forensics, and graph visualization.

How to use:

1.Prepare your CSV with columns: Transaction Hash, Chain, Amount, From Address, To Address.
2.Upload and hydrate to enrich transactions with blockchain data (inputs, outputs, timestamps, fees).
3.Run analysis to detect patterns, score risks, cluster entities, and generate forensic profiles.
4.Explore dashboards for detailed results and export reports in CSV, HTML, or STR-XML format.

CSV Format:

"Transaction Hash","Chain","Amount","From Address","To Address"

"8e38151c...","BTC",10.9879168,"13A1pyHi...","1AeK7wAq..."

Analysis Dashboards

Four specialized dashboards for comprehensive dataset analysis

Each dataset includes four specialized analysis dashboards. Access them from your dataset page after running analysis.

Transaction Graph

Interactive visualization of all addresses and transaction flows. Explore connections, identify clusters, and understand fund movement patterns.

Pattern Intelligence

Automatic detection of peel chains, consolidations, mixing patterns, N-1 distributions, and other obfuscation techniques.

Entity Attribution

Address clustering using Common Input Ownership Heuristic. Identify exchanges, services, and group related addresses.

Technical Forensics

Script type analysis, RBF patterns, wallet fingerprinting, holding periods, and sophistication profiling.

Pattern Detection

Automatic identification of transaction patterns and obfuscation techniques

Trailbit automatically detects sophisticated patterns that may indicate money laundering or obfuscation:

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Peel Chains — Gradual fund stripping where one input produces two outputs repeatedly, commonly used to slowly extract funds.

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Heavy Consolidations — Transactions with 50+ inputs, indicating industrial-scale UTXO management or exchange operations.

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CoinJoin / Mixing — Detection of Wasabi, Whirlpool, JoinMarket, and other mixing protocols through equal-output analysis.

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N-1 Distributions — Recursive splitting patterns where funds are exponentially divided across many addresses.

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Self-Churn — Funds that cycle back to originating addresses, potentially to create false transaction history.

Risk Assessment & Sanctions

Risk scoring and sanctions screening for compliance workflows

Risk Scoring

Each address and transaction receives a 0-100 risk score based on multiple factors:

Sanctions exposure (direct and N-hop connections)
Mixing service involvement
Suspicious pattern detection
Value anomalies and timing patterns
Address reuse behavior

Sanctions Screening

Screen addresses against sanctions lists including OFAC SDN. Trailbit detects:

Direct matches to sanctioned addresses
N-hop exposure (transactions with sanctioned entities)
Connections to known high-risk services

Export & Reporting

Generate reports in multiple formats for compliance and documentation

Export your analysis results in formats suitable for different use cases:

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CSV — Raw transaction and analysis data for spreadsheet analysis or integration with other tools.

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HTML — Interactive reports with visualizations that can be shared with stakeholders or attached to case files.

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STR-XML — Suspicious Transaction Report format for regulatory filings and compliance documentation.

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PNG/SVG — Graph visualizations for presentations and documentation.

Note: While Trailbit provides professional-grade analysis tools, all findings should be verified with additional sources before making compliance decisions or taking action. Blockchain analysis involves probabilistic heuristics and results should be interpreted by qualified professionals.