The platform provides a full-network intelligence data query function, supporting quick searches using addresses or transaction IDs. We also plan to expand to include queries for user information such as IP, name, phone number, etc.
In terms of features, the platform currently supports on-chain data queries for 31 public blockchains, including behavior and risk label queries. Additionally, deep analysis is conducted on the four major blockchains and their 5.83 million tokens.
The platform has a multi-blockchain explorer that allows on-chain data searches. It provides basic on-chain information for addresses/transactions, including transaction counts, inflows and outflows, counterparties, token holdings, and other multidimensional statistics. Key data such as important counterparties, first and last transactions, and last active time are also displayed.
In addition, leveraging Bitrace’s big data and smart model analysis, the platform provides off-chain intelligence, including counterparty attributes (label affiliation), behavior features (behavior labels), risk evaluation metrics, and cross-chain transaction analysis.
On-chain data analysis provides professional tracking of address transaction behaviors, automatically calculating counterparty transaction amounts, frequency, and net fund flow (total inflows/outflows). Visual fund maps are generated.
The platform supports multi-dimensional filtering, including counterparty address, labels, amount ranges, time frames, and transaction types. Based on filtered data, users can perform transaction pattern recognition, fund path tracing, and anomaly transaction analysis, helping them quickly identify key counterparties and gain insights into fund flow patterns. Analysis can also be viewed through the canvas service, providing data support for on-chain investigations, risk management, and investment decisions.
The platform provides risk assessments for the address itself, identifies risky behavioral patterns, analyzes fund flow characteristics, and calculates the amount and proportion of risky funds. Additionally, historical counterparty risk correlation analysis is performed, presenting comprehensive potential risk intelligence for the queried address.
The platform supports complete on-chain transaction detail queries and analysis, including intelligent cross-chain transaction parsing and token swap records. Counterparty risk labels are automatically identified, with alerts provided.
Various transaction types, including internal transactions, token transfers, and complete event logs for current transactions, are displayed to help users comprehensively track fund flows and identify potential risks.
This module provides in-depth transaction fund analysis capabilities. Based on platform-defined smart parameters, it automatically traces all fund transfers before and after the current transaction up to three layers, accurately pinpointing the core fund sources and flows, and intelligently identifying key counterparty addresses.
An interactive fund flow chart visually presents the entire fund circulation, with a professional data statistics panel that displays associated address lists and transaction details in a structured way. This helps users easily identify key nodes and flow patterns within complex fund networks.