The core mission of traditional oracles (like Chainlink) is to 'feed' off-chain data to on-chain. However, the ZK co-processor of @Lagrange Official opens up a whole new paradigm: it does not introduce data externally but focuses on verifiable computation of the vast amounts of data already existing on-chain. This is a dimensional upgrade from 'data mover' to 'on-chain data scientist'.
Imagine a DeFi protocol needing to calculate a user's credit score based on their on-chain behavior over the past year. In the past, this was almost an impossible task due to the high costs and inefficiencies of on-chain computation. But with Lagrange's ZK co-processor, developers can use familiar SQL syntax to query millions of historical storage slots.
This query will be processed in a super-parallel manner on Lagrange's decentralized prover network (LPN) using its innovative ZK MapReduce framework, ultimately generating a concise ZK proof to return to the on-chain smart contract. The whole process is efficient, low-cost, and completely trustless. For example, querying the activities of 8,888 Pudgy Penguins NFTs within 100 blocks takes only 2 minutes.
Mainstream LRT protocols such as ether.fi and Swell have begun using Lagrange to replace traditional oracles for token re-basing and point calculations. This is not just a technological upgrade but the beginning of a revolution. As the economic fuel driving all this, the demand for $LA will surge in sync with Web3 applications' thirst for on-chain data processing capabilities.
