The current AI Agent track is already overcrowded, however, the biggest pain point here is not the lack of a 'brain,' but rather data hunger. For an Agent to make autonomous decisions, it must be able to access on-chain data in real-time, understanding DeFi states, wallet behaviors, and protocol dynamics.
@Chainbase Official 's core positioning precisely targets this need:
Agent Native Data Service
A data access layer designed specifically for AI Agents, structured, verifiable, and capable of millisecond-level responses. Agents no longer need to crawl the chain and filter data; they can call it directly.
Currently, Chainbase has indexed over 200 blockchains and has processed over 500 billion data calls, with a massive number of projects built on it.
In January this year, @Chainbase Official completed the comprehensive integration of EVM Tracer, Manuscript, WalruS3, and the x402 protocol, transforming raw on-chain data into structured, persistent, and monetizable AI formats.
It is truly laying the foundation for the Agent economy rather than just talking about it on paper.
As of March 15, the chainbase token $C experienced a 24-hour increase of +48%, reaching a peak of $0.0853, with daily trading volume exceeding 82 million dollars.
The market is under pressure, yet the token's growth against the trend is enough to indicate demand.
The flywheel is evident: as the number of Agents increases → data call volume increases $C demand increases.
Chainbase is not a follower in the AI track but a provider of underlying infrastructure for AI Agents consuming Crypto data. The value of C also continuously increases with each call.