As the Web3 ecosystem becomes increasingly prosperous, the logic of data production, storage, and retrieval is undergoing dramatic changes. Compared to the monopolistic structure of Web2 closed platforms controlling data, Web3 pursues data's free flow, transparent retrieval, and secure proof, constituting a new requirement for infrastructure. The rise of Chainbase is a response to this new paradigm: it not only builds an efficient, real-time multi-chain data indexing network but also introduces the concept of 'AI native circulation' at the data application layer, allowing smart contracts and model training logic to seamlessly connect, promoting the evolution of Web3 into a smart autonomous data society.
Chainbase's core product capability is reflected in its full-chain data indexing network. It supports over 20 mainstream L1 and L2 public chains, including Ethereum, BNB Chain, Polygon, Arbitrum, Optimism, Avalanche, Scroll, Base, Linea, Mantle, and ZKsync. Compared to traditional blockchain API services that can only provide basic queries, Chainbase has significant advantages in query speed, flexibility, and data structuring capabilities. Whether it's a DeFi protocol needing to call historical transaction paths, NFT market analysis of address associations, or LayerZero-style cross-chain bridge audits of fund flows, Chainbase can return high-quality data structures in the shortest time and supports direct calls in SQL and JSON formats.
But more important than data retrieval is the 'vitality' of the data—whether it can be quickly orchestrated, recognized by AI models, and directly used by application logic. Chainbase's second layer capability is 'AI native data fabric': by building data warehouses and middleware, it abstracts on-chain data into entities (such as traders, assets, relationship networks), and forms structured vectors, thereby providing immediately learnable and usable data packets for LLMs, large models, and financial analysis engines. This means that on-chain analysis products, risk control systems, recommendation engines, and AI assistants can acquire high-quality on-chain data at a very low cost on Chainbase. This capability opens up the 'AI + Blockchain' integration gateway for Web3 developers.
Currently, Chainbase data is widely used in operational tools on L2 scaling chains, user profiling tag systems in wallets, DeFi risk control models, DAO governance analyzers, targeted airdrop strategy systems, and other scenarios, with partners including Coinbase, Mantle, Scroll, LayerZero, Connext, StarkNet, and more. In these collaborations, Chainbase acts both as a technology provider and as a data standard setter, promoting the unified construction of a 'universal language for on-chain data.'
On the other hand, Chainbase is also building a closed-loop data economy. Its ecological token will be used in future designs for node incentives, data upload staking, API subscriptions, and more, encouraging data providers to publish high-quality data segments on the platform and maintain data quality through governance voting. This model of 'data as an asset' may shift the Web3 data supply chain from a 'platform-driven' approach to a 'community-driven' one, ultimately achieving decentralized data governance.
One of the hottest narratives right now—'AI × Crypto'—faces core challenges in data quality, structuring, and real-time availability, and Chainbase is the infrastructure solution that fills this gap. In an era where data is productivity, Chainbase is not just the 'database' of Web3, but also the foundational energy source for its AI intelligent brain.