When DeFi launched in 2020, no one could have predicted that it would eventually give birth to a hundred billion dollar-level on-chain financial market. Today, standing at the juncture of 2025, similar opportunities are emerging in DataFi—a new track that treats data as a financial asset.

According to reports from McKinsey and Gartner, the global AI data market size is expected to exceed $1.8 trillion by 2030. This is not only fuel for AI models but also raw material for the new generation of finance. The question is:

  • How is data priced?

  • How does data circulate?

  • How is data pledged, settled, and traded?

The answer lies within DataFi, and Chainbase is very likely to become the underlying ledger and settlement layer of this blue ocean.

I. The essence of DataFi: Financialization of data

In traditional finance, the core function of banks is to 'convert deposits into allocable assets.' The same logic will be re-enacted in DataFi:

Data deposits: Personal transaction records, on-chain identities, interaction trajectories;

Data bonds: On-chain liquidity data for institutions, AI training datasets;

Data cash flow: Real-time cross-chain indexing, contract calling data.

Once these data are standardized and verifiable on Chainbase, they can be split, combined, pledged, and traded like financial assets.

This is the essence of DataFi—endowing data with the dual attributes of currency and capital.

II. Chainbase's business blue ocean

Many see Chainbase as a 'high-performance indexing platform,' but under the framework of DataFi, it is more like the clearing center of a data bank.

Data liquidity market: Chainbase can not only provide raw data but also derive 'data liquidity pools,' allowing developers and AI models to pay for data calls like trading liquidity.

Data collateral and credit: The C token is not only an access pass but also a data collateral, representing the value of specific datasets, used for credit endorsement.

Data derivatives: In the future, there may even be derivative financial products based on data usage and data reliability (e.g., data yield bonds).

In other words, Chainbase's business blue ocean is not in 'query functions' but in building the financial layer of data value.

III. Why is the blue ocean at Chainbase?

1. Migration from DeFi to DataFi

DeFi has already proven that 'asset composability' can unleash enormous value. What Chainbase aims to do is extend this composability to data, making data the next tradable asset class.

2. The contradiction between AI and verifiable data

AI requires massive amounts of data, but the data from centralized platforms is neither transparent nor trustworthy. The verifiable data layer provided by Chainbase precisely solves this contradiction. Whoever masters this layer will control the future traffic entrance for AI and finance.

3. The blank in the data market

The contemporary crypto market already has a token market (exchanges), computing power market (DePIN), and storage market (Filecoin, Arweave), but the 'data market' remains blank. Chainbase + C could very well become the first scalable on-chain DataFi market.

IV. Outlook: Chainbase Blueprint for 2030

2026: Chainbase builds the first cross-chain data liquidity pool, C starts to be used as 'data Gas.'

2028: Institutions and AI companies enter DataFi, new financial products such as data bonds and data pledges emerge.

2030: Chainbase becomes the clearing network for global data banks, C evolves into the reserve asset of the data financial system.

One-sentence conclusion

The value of Chainbase lies not in query speed but in the financial logic of DataFi.

It gives data currency attributes, making the data market the next trillion-dollar blue ocean after DeFi and NFTs.