$C is weaving the 'super neural network' of Web3
Blockchain data has long been 'information islands' scattered across various chains—Ethereum's transaction records, BSC's contract data, and Polygon's user behavior, disconnected and difficult to integrate. Until @Chainbase Official broke the deadlock with the 'Artificial Intelligence Super Data Network', weaving multi-chain data into a 'neural network' that can be directly accessed by AI through a four-layer architecture, while $C , as the native ecological token, is becoming the core energy driving all of this.
Chainbase's innovation lies in making blockchain data 'usable and easy to use': the data access layer aggregates on-chain and off-chain information, ensuring authenticity through zero-knowledge proofs; the co-processor layer allows developers to write 'manuscript' scripts to process data, enabling creators to earn rewards from each use; the execution layer's CVM virtual machine supports large-scale parallel processing, paired with EigenLayer for re-staking to ensure security; the consensus layer achieves rapid finality through the CometBFT and DPoS mechanisms. This architecture enhances data query speeds by 10 times, with over 500B data access records validating its efficiency #chainbase .
The multiple roles of C make the ecosystem operate more efficiently: developers use C to pay for data query fees, node operators stake C to maintain the network and earn rewards, and holders participate in governance using C to decide on functional upgrades. Investments from giants like Tencent and Sequoia Capital China further highlight its infrastructure value. When AI needs high-quality blockchain data to train models, and when DApps require cross-chain information to support functions, Chainbase driven by $C is becoming the 'neural hub' of the Web3 data economy.
#chainbase connects multi-chain data from being isolated to interlinked.
#chainbase strengthens the data infrastructure with a four-layer architecture.