The blockchain industry has never lacked grand narratives, but there are very few projects that can truly bring these narratives to life. When we talk about "full-chain data," what comes to most people's minds may be fragmented blockchain explorers, disjointed on-chain analysis tools, or isolated datasets from specific verticals. This sense of fragmentation is reminiscent of the information islands of the early internet—until the advent of Google. Today, Chainbase is attempting to play a similar role in the field of blockchain data: integrating scattered on-chain data into the infrastructure of the AGI era.

How significant is the "whole" in the full-chain data?
To measure the value of a data network, one must first look at its coverage breadth. Chainbase currently integrates data from dozens of mainstream L1/L2 chains, including BTC and ETH, covering both EVM and non-EVM ecosystems. This means that whether it is Bitcoin's UTXO model, Ethereum's smart contract logs, or Solana's high-throughput transaction records, they are all included in the same standardized system. This capability of "one chain for all" is by no means a simple data transfer—it requires compatibility with the underlying protocols of different chains and even the reconstruction of data storage logic.
The more critical aspect is data depth. Chainbase divides on-chain information into three levels:
- Raw data: The most primitive blocks, transactions, and contract bytecode, equivalent to "fresh" in ingredients;
- Decoded data: Converting raw data into a human-readable format, such as lending events in DeFi protocols;
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