On-chain AI data platforms have become the new focus of Web3, and Chainbase has successfully gone beyond expectations. It is not just talk about 'decentralization,' but truly packages data into 'callable, stakable, and exchangeable' structured assets. Developers no longer need to deploy nodes from scratch or maintain complex indexing systems; they only need to write query scripts in Manuscript and can respond in real-time through AVS nodes.

There has been a lot of discussion in the community about its Genesis event, with developers stating after completing tasks that Chainbase is currently the only platform that is 'truly usable and capable of scaling data supply.' Especially in scenarios involving on-chain large models, trading bots, and quantitative analysis, Chainbase's real-time query and high-frequency data push capabilities are frequently mentioned.

What is even more noteworthy is its data economic model. Each piece of structured data can participate in distribution as an asset, and users and nodes can earn rewards based on the call volume and data quality. This economic model not only gives data 'informational' attributes but also grants it 'asset' attributes, entering the core logic of the new generation of DataFi in Web3.

In the future, Chainbase will launch its mainnet and further open up CVM and AI Agent access, allowing developers to directly use on-chain semantic data to train models or drive real-time interactions. This foundational data layer may become an indispensable part of Web3. #Chainbase @Chainbase Official $C