@Lagrange Official : Using ZK Technology to Equip Blockchain with a "Trust Radar"

Worried about cross-chain data transmission being tampered with? Unable to self-verify AI inference results? These "trust pain points" in the blockchain field now have efficient solutions—@Lagrange Official has created a zero-knowledge proof (ZK) network, and #lagrange injects "verifiable genes" into the blockchain with hard-core technology, making "invisible trust" quantifiable and traceable.

As a Web3 project focused on ZK technology, @Lagrange Official 's technical layout is highly forward-looking: the decentralized ZK proof network brings together over 85 top operators, with industry giants like Coinbase and Kraken joining, ensuring dual guarantees of network security and decentralization; the ZK co-processor completely simplifies the on-chain query process, making it as convenient as using SQL, significantly lowering the entry barrier for developers; and the DeepProve zkML engine has achieved a 158-fold improvement in AI proof speed, efficiently generating "non-tampering proofs" for AI inference results, equipping AI with a "cryptographic trust lock."

The LA token is the "operational core" of the entire ecosystem. Nodes wishing to undertake proof tasks must first stake $LA as collateral; failure to complete proof on time or errors will result in deductions from the collateral to ensure task fulfillment quality; developers calling API to use proof services must pay fees in LA; community participation in network rule adjustments is enabled through LA holdings, granting voting decision rights. Its token design balances scarcity and practicality: a total supply of 1 billion, with only 4% released annually, and some tokens will be burned, deeply binding token value to actual network usage needs. Currently, mainstream chains like ZKsync and AltLayer have integrated its cross-chain proof services, and DeFi protocols generate proof-backed results when querying historical data, fundamentally eliminating the risk of data tampering. #lagrange

@Lagrange Official also pays special attention to developer experience: there is no need to delve into the complex mathematical principles of ZK; simply call the API for quick integration. Previously, a certain AI project took three months to build a proof circuit to verify model output and frequently encountered errors; after integrating @Lagrange Official , the process was completed on the same day, with proof results verified on-chain in seconds. The $17.2 million funding and support from Founders Fund and EigenLayer further highlight its industry recognition.