The project Chainbase, which claims to be "the super data network built for AI", is opening a new landscape for Web3 data infrastructure with a set of combined strategies. From technical architecture to Token economic models, and to capital operations, every step of Chainbase is quite precise.

The design of the three components of Token C's payment medium + secure staking + governance power essentially covers the closed loop of practical value and governance value. What stands out is their handling of the token release rhythm, where the tokens of the core team and investors are locked for one year and then released linearly over two years, while node incentives are gradually released over five years. This long-term thinking is rare among projects that are eager to harvest profits quickly.
Of course, the most attractive aspect is Chainbase's positioning - the intersection of blockchain full-chain data and AI. At a time when AI requires massive amounts of structured data, and blockchain data is extremely fragmented, this narrative indeed hits the pain point. After all, among the three elements of AI, data is the real moat.

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