1) What the project does (take a look, interesting, right? 🤔)
Lagrange provides a set of 'verifiable computing' infrastructure: performing complex calculations off-chain, producing zero-knowledge proofs, and then quickly verifying on-chain. The core consists of ZK Prover Network, ZK Coprocessor, and DeepProve (zkML), responsible for generating proofs, performing verifiable data calculations, and verifying AI inference results.
2) How to use it (from the developer's perspective, meaning how developers can use it, seems good for developers 👍🏻)
Developers initiate queries/calculations on the Coprocessor (such as historical data aggregation, cross-chain state reading, settlement logic), tasks are distributed to the Prover Network to generate proofs, the contract side only does verification, avoiding redundant recalculation, with more controllable delays and costs.
3) How resources are matched
Underlying use of DARA (two-way auction resource allocation): Developers report demand and budget, computing power operators report supply and costs, the system matches and executes overall, avoiding 'half-finished projects' and resource squeezes.
4) Who to connect with (in plain language, who to contact)
The proof network operates in conjunction with EigenLayer, adapting to various workloads; the official blog is continuously publishing integrations and cases with cross-chain and Rollup.
5) The role of LA tokens (same old story, brothers)
Payment/settlement: Requesters can pay with LA/ETH/USDC, but the prover ultimately earns in LA; the protocol will use non-LA income to repurchase LA and redistribute it to provers, directly converting business volume into LA demand.
Staking/delegating: Used to participate in the network and guide subsidy flows.
6) Applicable scenarios (how to use it and what can be used)
High-frequency applications include: DeFi metrics/liquidation, cross-chain state access, risk control and auditing, as well as verifiable release of AI inference results (DeepProve). All these require the capability of 'off-chain computation, on-chain proof'.
LA ties the usage and value capture of this capability together — the more it is used, the stronger the demand for LA.
@Lagrange Official #lagrange $LA
