When AI Meets Blockchain: Chainbase's 'Data Magic' Revolution
In the world of Web3, data is the flowing blood, but the fragmentation of cross-chain data is like a series of blood clots. @Chainbase Official is using technology to break down this barrier—its artificial intelligence super data network has become the 'translator' between blockchain and AI, allowing scattered data across chains to be easily understood by AI.
As a high-performance decentralized data infrastructure platform, @Chainbase Official relies on a unified indexing network to connect multi-chain data. Whether it's transaction records on ETH or NFT information on Polygon, it can achieve cross-chain integration through it. Developers no longer have to worry about adapting to different chain data formats; a single interface can provide the required information, #chainbase makes cross-chain application development go from 'brick moving' to 'plug and play'.
Its core Manuscript framework is known as 'data alchemy': developers can write a script that automatically converts on-chain data into AI-understandable causal inference graphs, achieving an accuracy rate of 99.7%. The four-layer architecture is even more robust—the data access layer uses zk-proof to ensure data authenticity, and the execution layer's CVM virtual machine can handle 500,000 queries per second, which is 20 times faster than traditional solutions, #chainbase has established a strong foothold in the cross-chain data arena through technological strength.
$C tokens are the 'adhesive' of the ecosystem. Developers can earn C rewards by writing high-quality scripts, with annual earnings exceeding 100,000; node operators stake C to provide computing power, achieving an APY of 18%; 5% of the C paid by users calling the API is also burned, creating a deflationary mechanism. With support from Tencent and Jingwei Venture Capital, #chainbase is transforming from data infrastructure into a new entry point for Web3.
