The complexity of Web3 applications drives the demand for efficient computation. Lagrange, through its Zero-Knowledge (ZK) Coprocessor, provides decentralized verifiable computation for developers, unlocking the potential of data-intensive applications. Combined with EigenLayer and cross-chain interoperability, Lagrange injects new vitality into the Web3 ecosystem.
Core capabilities of the ZK Coprocessor
Lagrange's ZK Coprocessor generates SNARK-optimized data structures by preprocessing blockchain data, supporting efficient off-chain computation. For example, a DeFi protocol uses the Coprocessor to validate complex on-chain transaction datasets, generating trustworthy yield predictions, with a computation speed 158 times faster than traditional zkML. Lagrange has provided state proofs for over 50 Rollups, handling over 1 billion transactions. An NFT marketplace verifies user transaction history through the Coprocessor, ensuring data integrity while maintaining low costs (approximately $0.001 per verification).
Support from the ecosystem
Binance supports the token issuance of Lagrange through Launchpool, attracting 100,000 developers to participate. Users can trade the LA/USDT pair on Binance or stake BNB to earn LA rewards for paying for the Coprocessor's premium features. This collaboration enhances the liquidity of the Lagrange ecosystem.
Developer-friendly design
Lagrange's dashboard provides an intuitive API interface, allowing developers to invoke the Coprocessor for big data computation with just a few lines of code. The platform supports integrations with chains such as Ethereum, Arbitrum, and Optimism, and mobile support for real-time monitoring. In terms of security, the smart contracts of the Coprocessor have been audited by Trail of Bits, with no vulnerability records.
Unlock big data applications
Lagrange's ZK Coprocessor provides new possibilities for Web3 applications through efficient decentralized computation. Its user-friendly design and support from Binance accelerate ecosystem expansion, which will promote the adoption of big data-driven DApps in the future.