《From 50 Billion Calls to AI Data Network: How @Chainbase Official Restructures Web3 Data Infrastructure?》

When Web3 was still struggling with cross-chain data query delays, @Chainbase Official had delivered answers with 50 billion data calls. This decentralized data platform, covering over 8000 projects, is transforming from a "on-chain database" to an "AI super data network," using technology to shift data from "passive storage" to "active productivity."

Its most aggressive move is turning "data pain points" into "innovation fulcrums": in the face of cross-chain data redundancy, it cut storage waste by $2 million with dynamic sharding technology; in response to skyrocketing verification costs, it developed a "contribution-weighted algorithm" that reduces long-tail chain verification costs by 40%; even cross-chain semantic deviations are compressed to a 2% error using an ontology mapping system. Now connected to over 200 public chains, developers can query data as easily as checking local files, which is how infrastructure should be.

The token of $C is no longer just a simple "transaction fee"; staking can act as a node guarantee for earning profits, holding tokens allows voting to change protocol rules, and even data NFT trading relies on it for settlement. @Chainbase Official has allocated 65% of its tokens to the ecosystem, with locked assets also receiving additional rewards, effectively giving the "data economy" the ability to generate revenue. Behind #chainbase is its transformation from a "tool" to an "ecosystem rule maker"—after all, who wouldn't love a platform that makes data fast, stable, and profitable?