In blockchain applications, cross-chain and cross-time data queries have always been a significant challenge.
Developers often have to rely on centralized APIs or build their own indexes, which is not only complex but also carries trust risks.
Lagrange's ZK Coprocessor provides a brand new solution: using SQL queries + zero-knowledge proofs to solve data reliability.
Developers can directly write an SQL query, such as "query the average balance of a certain address over the past 1000 blocks," and Lagrange's coprocessor will perform the computation off-chain and then generate a ZK proof.
On-chain, it is only necessary to verify this proof to ensure the results are real and trustworthy. This reduces development difficulty and avoids reliance on centralized oracles.
A typical case is Frax/Fraxtal: through Lagrange's SQL coprocessor, the protocol can transparently calculate the cross-chain incentive distribution of veFXS, ensuring that reward distribution is not tampered with.
In the future, this capability will become standard in scenarios such as cross-chain governance, DeFi statistics, and user reputation assessment.
