Can Chainbase become the data fabric that makes AI agents pay for on-chain truth — turning messy blockchain logs into queryable, paid datasets for apps and LLMs?
Chainbase’s Manuscript is exactly that play: a programmable pipeline that ingests raw on-chain + off-chain events, versions them into reusable datasets, and exposes them with predictable SLAs so agents don’t re-index everything themselves.
They organize work into Manuscript Zones (mini data teams) and a Hyperdata stack so dataset authors can publish composable products developers — and AI agents — can buy or subscribe to on demand. That architecture is designed to let data sellers earn recurring revenue every time an agent queries a verified dataset.
Signal checks: Chainbase already lists strategic AI partnerships (e.g., Gaia) and early integrations showing agents can query live Manuscripts — real adoption signals, not just docs.
Token & economics: $C runs on a 1B cap with ~16% initially circulating; most supply is earmarked for ecosystem/operator incentives to reward dataset authors and indexers — the economic levers that make pay-per-query viable.
