If DeFi is an attempt to financialize assets, then DataFi is an exploration of the financialization of data. In this narrative, Chainbase's role goes far beyond providing indexing and querying; it may well become the 'value foundation' of DataFi.

Currently, the main uses of on-chain data are concentrated in market analysis, risk control modeling, and on-chain auditing. However, as AI and blockchain converge, data itself is becoming a new type of productive resource. In the future, a model may emerge where developers obtain high-quality on-chain data through the data interfaces provided by Chainbase and convert it into training sets, providing a transparent and verifiable source for AI model decision-making. In this process, data is endowed with a market value that can be priced, and Chainbase becomes the key platform for data circulation and settlement.

Furthermore, Chainbase has the full potential to build a data staking and data market. Users can host specific on-chain datasets they have collected on Chainbase, which can be purchased and used by other DApps or research institutions, with settlement completed using the $C token. This mechanism will open up a new market for both the supply and demand sides of data, similar to 'liquidity pools in DeFi', but here the liquid asset is data rather than tokens.

This logic of data financialization (DataFi) is still in its infancy; if Chainbase establishes standards first, it will possess strong network effects. Once data begins to flow, not only will DeFi, NFT, and GameFi benefit, but AI-driven on-chain applications and cross-border compliance auditing will also find new development space.

In other words, Chainbase is not just solving the problem of 'how to read data', but is creating a completely new value capture mechanism for data. This may be the true long-term support logic of the $C token in the future. @Chainbase Official #chainbase $C