Bitrace AI: Advancing On-Chain Investigation and Risk Intelligence with Large Language Models
As crypto-related crimes continue to evolve, traditional investigation methods—relying heavily on manual searches, manual correlation, and investigator experience—are becoming increasingly insufficient to handle complex, multi-chain, cross-platform criminal networks.
Built on years of accumulated on-chain risk intelligence and proprietary detection models, Bitrace integrates Large Language Models (LLMs) with its modular tool framework (bitrace-mcp) to launch Bitrace AI—an intelligent system capable of analyzing and interpreting blockchain addresses, transactions, fund flows, and address relationships.
Bitrace AI significantly enhances the efficiency of investigations, intelligence analysis, and risk identification, providing regulators and law enforcement agencies with more advanced capabilities in crime prediction, lead discovery, and case investigation.
Core Capabilities of Bitrace AI
Multi-Chain Analysis Engine and Modular Tool Framework
Bitrace AI is powered by the bitrace-mcp modular on-chain analysis engine, which currently integrates 16 core tools covering address risk analysis, transaction tracing, relationship mining, compliance assessment, and visualization.
The system supports major blockchains including TRON, Ethereum, Bitcoin, BNB Smart Chain, and Arbitrum, with unified modeling and standardized processing of multi-chain data. It covers key fund flow scenarios such as stablecoins, DeFi, exchanges, and cross-chain bridges.
Through multi-tool collaboration and cross-chain data fusion, Bitrace AI enables continuous tracking and correlation analysis of cross-chain fund flows, effectively addressing data fragmentation across blockchain ecosystems.
The 16 tools form a complete analytical framework:
- Address Profiling and Risk Quantification: label identification, risk scoring, balance snapshots, and peak asset analysis
- Deep Transaction Analysis: structured parsing of individual transactions, swap and cross-chain behavior recognition, and bulk transaction filtering
- Fund Relationship Mining: identification of shared counterparties, key counterparty detection, and automatic chain recognition
- Graph Construction and Visualization: generation of fund flow networks and exportable evidentiary relationship graphs
- Supporting Capabilities: methodology invocation, external data integration, valuation calculations, and system collaboration
Under standardized input-output protocols, these tools can be automatically orchestrated and combined to create a full closed-loop workflow from data acquisition to analytical output.
Risk Detection Based on Real-Time On-Chain Data
Bitrace AI analyzes real-time blockchain transaction data, enabling immediate identification of suspicious addresses and fund movements once risks emerge.
Combined with Bitrace’s risk labeling framework and detection models, the system can automatically classify risks into high, medium, and low severity levels, covering scenarios such as fraud, money laundering, illegal gambling, hacking, asset theft, sanctions exposure, and mixer-related activities.
Deep Relationship Analysis and Fund Tracing
Bitrace AI automatically analyzes transaction relationships between addresses, shared counterparties, fund aggregation paths, and cross-chain transfer behaviors.
By combining multiple analytical tools, the system reconstructs complex fund flow networks and identifies potential criminal group structures and control relationships.
Visualization and Report Generation
Bitrace AI supports the generation of fund flow diagrams and relationship graphs, with exportable structured investigation reports.
Beyond presenting data, the system provides explanations for key behaviors, helping regulators and investigators make informed decisions more efficiently.
Batch Processing and Large-Scale Analysis
Bitrace AI supports batch analysis and statistical processing of multiple addresses and transactions, making it suitable for large-scale risk screening and targeted enforcement operations.
Through automated workflows, the system significantly improves operational efficiency for regulatory and law enforcement teams.
Automated Monitoring and Alerting
Bitrace AI supports scheduled inspections and continuous monitoring, enabling automatic checks on target addresses or transactions and real-time alerts through channels such as DingTalk.
The system includes built-in micro-transaction filtering mechanisms to reduce noise and improve the signal-to-noise ratio of risk detection.
AI Agent Architecture and Integration Capability
Bitrace AI adopts an AI Agent architecture, deeply integrating LLM reasoning capabilities with blockchain analysis tools. This allows the model to automatically invoke the bitrace-mcp toolchain based on investigation objectives, execute multi-step analysis, and generate structured results.
This architecture breaks down complex investigative workflows into executable task units and enables automated task orchestration through intelligent agent scheduling.
At the same time, Bitrace AI provides standardized APIs and modular capability outputs, allowing flexible integration into regulatory systems, risk control platforms, and law enforcement tools. It can function either as a standalone analysis engine or as an embedded intelligence module within existing systems, enabling rapid deployment and scalable capability expansion.
Empowering Regulators and Law Enforcement with Advanced Investigative Capabilities
One of the core application scenarios of Bitrace AI is to provide regulators, law enforcement agencies, and financial institutions with smarter and more proactive investigative capabilities.
Powered by Bitrace’s on-chain risk intelligence and AI reasoning capabilities, the system not only helps investigators quickly answer questions such as “Who controls this address?” and “Where did these funds come from and where did they go?”, but also helps identify:
- Whether organized or networked criminal activities exist
- Whether money laundering, layering, or cross-chain fund transfers are involved
- Which addresses or accounts should be prioritized for investigation
- How a specific risk event may evolve in the future
Bitrace AI transforms investigations from reactive analysis to proactive prediction, enabling regulators and law enforcement agencies to identify key leads faster, detect risks earlier, and combat crypto-related crime more effectively.
About Bitrace
Bitrace is a leading Web3 Regtech company in Asia, headquartered in Hong Kong. The company leverages AI and big data analytics to identify and monitor on-chain risks and criminal activities with precision and efficiency. Bitrace provides crypto fund tracing, AML compliance solutions, and risk intelligence services to financial institutions, exchanges, payment providers, and regulatory authorities.
Bitrace specializes in crypto crime investigations, working closely with Hong Kong law enforcement agencies, including the Hong Kong Police and Hong Kong Customs, as well as global regulatory bodies and Web3 enterprises. To date, Bitrace has supported thousands of cases, monitored billions in high-risk transactions, and successfully recovered assets worth billions of US dollars.
Contact us:
Website: www.bitrace.io
Email: bd@bitrace.io
Twitter: @Bitrace_team
LinkedIn：@bitrace tech
