Among the many blockchain projects, the most talked about are 'fast transactions', 'low gas fees', and 'rich ecosystems'.
However, Chainbase takes a different approach, focusing its narrative on 'data' — which may sound niche, but is one of the most crucial infrastructures in the AI era.
The Hyperdata Network is the core vision of Chainbase. The problem it aims to solve is: the data on the blockchain is vast yet chaotic, not only varying in format but often lacking verifiability. Traditional developers looking to retrieve data need to connect to RPC, set up their own nodes, and often have to clean and process the data, which is extremely costly. Chainbase's goal is to abstract away these cumbersome steps and directly provide structured, verifiable, AI-ready data streams.
In other words, the Hyperdata Network aims to be the 'translator' between AI and blockchain. AI models excel at computation and prediction, but if the input data is chaotic, they cannot generate value. Through Chainbase's Manuscript framework, AI can directly access on-chain transactions, accounts, contract events, and even real-time trends, transforming 'disordered signals' into 'ordered insights'.
This reflects a larger ambition: AgentFi. As autonomous on-chain agents become more widespread in the future, they will need to rely on a clear, verifiable data environment to operate. The Hyperdata Network serves as the data engine for these agents. Just as the power grid supports industrial society, the data network will support the crypto society.
From this perspective, Chainbase is not just 'creating an API platform', but is building an underlying operating system for the AI economy.
