The pain points of on-chain data are well-known: self-built nodes are expensive, maintenance is tiring, and real-time performance is poor. Chainbase has always positioned itself as a 'data API platform', but the announcement of the mainnet launch in mid-August (Aquamarine stage) means it is transitioning from a purely API service to an 'on-chain data platform'.
1) What does the mainnet launch mean?
API is just an interface, but mainnet represents that its storage, indexing, and permission management must be decentralized. In other words, previously it was just 'centralized provision of on-chain data', now on-chain data performs on-chain settlement itself. This brings two changes for developers:
Query results have on-chain verifiability;
Cost model can be transparently priced (on-chain Gas + number of calls).
2) Key differences: Comparison with The Graph and Dune.
The Graph: Good at event indexing, relies on the subgraph community.
Dune: Strong in SQL + community analysis, but computing power is concentrated in the backend.
Chainbase: Aiming to create a universal aggregation API, modularizing both 'usability' and 'real-time'. Particularly, it has proposed an AI toolkit that allows Agents to directly call on-chain metrics (balance, NFT ownership, DeFi TVL). This is not a long suit of The Graph.
3) Trusta AI collaboration: Using on-chain data + AI to enhance identity verification.
Interfacing with Trusta AI's Hyperdata network allows direct invocation of on-chain metrics when verifying DID/reputation scores. For example, 'the trading frequency of an address, distribution of interaction protocols' can be used to substantiate identity reliability. This scenario has already been attempted in cross-border risk control and DeFi credit assessments.
4) Risk boundaries.
Black box dependency: Over-reliance on API can lead to high migration costs if it halts.
Cost inflection point: When call volume surges, the marginal cost of API might be higher than self-built.
Coverage delay: The time difference caused by multi-chain/new version launches determines whether it can uphold the 'real-time' promise.
5) Investment perspective.
Chainbase's C token is key to value capture: used for call fees, staking node collateral, and future governance voting rights.
If the mainnet is stable, the value logic of C is similar to 'the query fee of on-chain AWS', with usage directly corresponding to token demand.
Chainbase is not just a simple data tool, but aims to be an on-chain data platform. Its success depends on whether it can stand firm within the 'real-time, verification, cost control' triangle.
👉 So do you think the value of data API is more like AWS cloud query fees, or The Graph's community indexing? Let's discuss in the comments!
@Chainbase Official #Chainbase $C