《@Chainbase Official uses $C to activate the value of blockchain data, #chainbase makes multi-chain data as easy to use as tap water》

When developers are still struggling with cross-chain data queries, @Chainbase Official has already built the "blockchain data pipeline"—this decentralized data infrastructure can index multi-chain data from Ethereum, Solana, Polygon, and more in real-time, just like gathering scattered water sources into a reservoir. Developers can simply turn on the "tap" (API interface) to access it. After integrating a certain DeFi project, the speed of querying users' cross-chain holding data was reduced from 5 seconds to 0.3 seconds, and server costs dropped by 60%. This is the core problem that #chainbase aims to solve: making Web3 data no longer "difficult to access and use".

$C tokens serve as the "data pass" for the ecosystem: Want to query customized data reports? Pay with C; Unlock advanced API permissions? Consume C; Node providers store data and verify integrity, earning rewards in C. A certain data analyst used C to purchase NFT trading data from 5 chains and sold the consolidated market report for three times the profit. "In the past, finding data required switching between 5 platforms; now, Chainbase handles it all in one interface, and settling in C saves on exchange fees." More importantly, the decentralized architecture—data is distributed across global nodes; when one node fails, other nodes automatically take over, ensuring data availability at 99.9%, which is much more reliable than centralized databases.

@Chainbase Official has processed over 1 billion data calls, attracting more than 2,000 DApps to settle in. The newly launched AI data tool can automatically identify abnormal trading patterns on the chain. Now, participating in the #chainbase testnet and completing multi-chain data query tasks will earn you 10 pieces of $C experience tokens. It proves that the future of Web3 requires not only on-chain assets but also efficiently flowing data—while @Chainbase Official is using C to turn data into real "means of production."