Real-World Applications: How Teams Are Currently Using Chainbase

Chainbase is approaching the market with an "application-first" strategy (focusing on application ), concentrating on real-time data that can be immediately shared for dashboards, DAOs, and AI tools. Early users are primarily leveraging this platform in three prominent areas:

1. Real-time primitive DeFi DeFi dashboard building teams are using Chainbase to obtain TVL (Total Value Locked) data directly, recalculating APR per block, and providing hedge signals with accuracy under one minute. Querying data directly from Chainbase eliminates the issue of "outdated data" that often occurs with analysis platforms. This is especially important for projects that need to react quickly to market fluctuations.
2. Compliance and Research The compliance teams and venture capital (VC) use Chainbase to: Retrieve the transaction history of the wallet address, Create cluster graphs for wallet (, Monitor P&L ) profit/loss ( in real-time for the on-chain portfolio. Thanks to the pre-structured data, tasks such as auditing, back-testing strategies, or KYC/AML become simpler, without the need to spend much effort on custom programming.
3. AI & automation process Chainbase positions itself as "data layer for AI" )data layer for AI(. The platform provides a standardized dataset, ready for machines to read and real-time data streams, helping AI agents ) make decisions based on the latest on-chain signals, for example: portfolio rebalancing, avoiding liquidation, or performing market-making. Hyperdata Network and Chainbase's SDK are the highlights, providing strong support for automated models. Integration capability with enterprise systems Chainbase supports direct data export to popular enterprise storage solutions such as Amazon S3, Postgres, and Snowflake. This allows: Combine on-chain and off-chain data to build hybrid models (hybrid models),Simplify compliance and record-keeping,Eliminate the need for costly node infrastructure. Conclusion For any project that requires accurate, timely, and multi-chain data, Chainbase acts as the "back-end processing engine" — handling the entire indexing, normalization, and streaming process — so that development teams can focus on building products and scaling. ♡𝐥𝐢𝐤𝐞💬 ➤ #Chainbase @ChainbaseHQ $C {spot}(CUSDT)