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Multi-Chain Node CoverageComplete historical data sourced from full nodes across multiple blockchains, covering addresses, transactions, smart contracts, and token flows, with custom APIs built around your application's needs.
Built on an API-first architecture, this service integrates on-chain data, risk labels, and behavioral analytics to help financial institutions, exchanges, law enforcement agencies, and research teams rapidly deploy virtual asset risk management, compliance screening, fund flow monitoring, and on-chain investment analysis.
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Multi-Chain Node CoverageComplete historical data sourced from full nodes across multiple blockchains, covering addresses, transactions, smart contracts, and token flows, with custom APIs built around your application's needs.
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Multi-Source Data IntegrationAggregates address labels, transaction records, smart contract interactions, fund flows, and external intelligence to support risk reviews, transaction monitoring, audit trails, and investment research and analysis.
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Real-Time Event MonitoringCaptures large-value transfers, fund movements, address interactions, and anomalous activity in real time, helping organizations identify risk events, detect market signals, and support investigations with traceable evidence.
Identifies high-risk addresses, suspicious transactions, blacklist and whitelist matches, and fund flow relationships, helping organizations integrate on-chain risk intelligence into compliance, monitoring, and investigation workflows.
Transforms raw blockchain transaction data into structured datasets for research, modeling, and backtesting, enabling fund flow analysis, transaction pattern recognition, and on-chain strategy development.
Easily expand your implementation with modular APIs tailored to your use case, supporting address risk management, transaction monitoring, fund flow tracing, compliance auditing, on-chain research, and enterprise data integration.
Instantly generates risk scores and levels from wallet addresses or transaction data, enabling organizations to standardize risk classification for compliance and review workflows.
Automatically identifies exchanges, DEXs, bridges, mixers, sanctioned entities, scams, phishing operations, hackers, smart contracts, and other address categories.
Analyzes direct and indirect interactions between target addresses and high-risk entities, with amounts and timelines, to reduce false positives, negatives, and the risk of relying on isolated address labels.
Reconstructs on-chain fund flows to reveal large-value transactions, exchange movements, smart-money and arbitrage activity, and cross-chain transfers, to support market surveillance, research, and modeling.