The Lagrange ZK Prover network officially breaks down the trust barrier between blockchain and AI models, allowing users to achieve instant verification of assets and computational results through atomic swap mechanisms between Bitcoin, Ethereum, and AI training data. This breakthrough enables developers for the first time to call AI models on-chain and obtain verifiable computational results, such as verifying the authenticity of financial reports generated by GPT-5 on Solana while maintaining data privacy.
In terms of technical implementation, Lagrange adopts a Front-and-Reclaim workflow, utilizing OP-DLC oracles to verify AI model outputs, combined with Bitcoin Layer 1's anti-fraud proofs to ensure the security of off-chain computations. For example, after users input data into the AI model, the system automatically generates equivalent zData (Lagrange's native data credential), which can be freely traded on the Lagrange chain. During redemption, off-chain data delivery is completed through liquidity providers, with the entire process requiring no trust in third parties.
On the ecological application level, Lagrange has partnered with NVIDIA and EigenLayer to support the cross-chain circulation of AI model training data. The DeepProve Protocol, as the first AI verification project to be integrated, has launched a multi-chain re-staking strategy, allowing users to stake zData and simultaneously receive airdrop rewards from both the Lagrange and Cosmos ecosystems, with annualized returns stacking up to a maximum of 42%. In the Binance Wallet Booster activity, users can exchange USDT for BTC to pay for AI invocation fees through a cross-chain bridge, with a transaction fee of only $0.5 and a time duration of less than 10 seconds.
