For years, the phrase "blockchain investigation" meant one thing: a slow, grueling, labor-intensive process. Investigators spent countless hours sifting through endless transaction chains, trying to untangle sophisticated mixers, peel chains, and obfuscation tactics. It was a battle of human intuition against a flood of data.
The CRA Protocol Crypto Tracer changes that paradigm completely.
We built this solution to be the automated brain of blockchain intelligence. Running on Neo4j graph databases and powered by robust Python/Flask APIs, the Tracer automates the entire investigation cycle—from data ingestion and risk scoring to generating instant, visualization-ready reports. It moves manual tracing from a necessary evil to an obsolete memory.
🔎 Why This Is the Breakthrough You Need
The Tracer isn't just a new feature; it's a foundation for trust and enforcement. Each capability is engineered to provide verifiable, audit-grade evidence:
* Audit-Grade Verification: Every transaction processed becomes a node in a verified, immutable graph. This acts as an anchored record for irrefutable, audit-ready provenance.
* Real-Time Risk Scoring: The system provides continuous attribution and scoring, exposing suspicious flows and high-risk activity before they can escalate into larger threats.
* Automated Peel Chain Detection: Sophisticated heuristics automatically identify complex, multi-layered obfuscation patterns that once required days of painstaking human work.
* Advanced Mixer Analysis: Correlation logic cuts through layers of obfuscation, revealing hidden relationships and the true origin/destination of funds routed through crypto mixers.
This isn’t just a tool—it’s a verifiable record keeper. Each trace is automatically serialized into the CRA Verification Ledger, ensuring that all adversarial outputs are exposed, contained, and sealed with full transparency.
⚙️ Under the Hood: The Architecture
The Crypto Tracer is organized into four logical, modular layers:
* Data Layer: Leverages the power of the Neo4j Graph Database for high-performance, relational storage of transaction data.
* Ingestion & Intelligence: The core tracing logic responsible for real-time entity attribution and dynamic risk scoring.
* Analysis Engine: Utilizes advanced Cypher algorithms specifically designed for peel chain and mixer detection at scale.
* Presentation Layer: A Flask REST API that securely exposes endpoints for consuming and integrating visualization-ready results.
🚀 Getting Started
The Tracer is fully open-sourced. Get up and running in minutes:
Clone the repository and set up your environment:
git clone https://github.com/cmiller9851-wq/cra-protocol-crypto-tracer.git
cd cra-protocol-crypto-tracer
pip install -r requirements.txt
python app.py
Run Neo4j via Docker:
docker run \
--name neo4j-tracer \
-p 7474:7474 -p 7687:7687 \
-e NEO4J_AUTH=neo4j/your_strong_password \
neo4j:5.0
🔗 Key API Endpoints
* /api/v1/trace_graph?start_address=<hash> → Initiates a trace, returns graph-structured output.
* /api/v1/analyze_mixer?source_address=<hash>&mixer_name=<name> → Mixer correlation analysis.
* /api/v1/address/<hash> → Address-level intelligence.
📜 License
The CRA Protocol Crypto Tracer is open-sourced under Apache 2.0, enabling modification and redistribution with attribution.
Looking Ahead: Audit-Grade Automation
The CRA Protocol Crypto Tracer is more than just code—it’s the foundation for automated, high-integrity enforcement. By embedding powerful features like risk scoring, peel chain detection, and mixer analysis into a modular API, it transforms blockchain tracing from a manual chore into a trusted, automated process.
Every run generates a verified artifact, ensuring complete closure and economic certainty for all users in the ecosystem.
GitHub: https://github.com/cmiller9851-wq/cra-protocol-crypto-tracer
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