If The Graph is the 'search engine of blockchain', then Chainbase is more like the middleware for on-chain data. Its positioning is not to have you write subgraphs, but to directly provide standardized APIs, cleaning up multi-chain data for developers to use as needed.
This addresses the most pressing pain point for developers: setting up nodes costs money, requires maintenance, and must ensure continuous synchronization. Chainbase 'cloudifies' this part of the work, allowing developers to focus on product logic.
In August, Chainbase announced its entry into the mainnet Aquamarine phase, marking a turning point. Previously, data returned by API providers was essentially 'trust me'. With the launch of the mainnet, the data results will come with on-chain proofs that can verify provenance. This is crucial for financial and risk control scenarios.
In terms of collaboration, Chainbase has partnered with Trusta AI. The latter focuses on Hyperdata DID verification, while Chainbase provides the underlying data. For instance, an address's interactions with various protocols over 30 days and the frequency of transactions can all serve as the basis for credit scoring. In other words, Chainbase fills in the gaps that The Graph/Dune do not cover in terms of 'data credibility'.
I think the path it needs to take is actually quite clear: to position itself as the AWS of the blockchain. Developers who don’t want to fiddle around will come here to open interfaces. Can it succeed? It depends on whether it can maintain real-time capabilities while expanding to more applications.
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