Pyth Network, a leading provider of real-time market data for blockchain applications, has teamed up with Morpho and Gauntlet to transform lending and borrowing experiences on Ethereum and Base. By integrating Pyth’s dependable, low-latency price data, DeFi protocols can gain a competitive edge, optimize capital efficiency, and reduce risks for users. Morpho disrupts the DeFi lending space with an open, trustless lending primitive that supports permissionless market creation. This flexibility empowers DeFi protocols to define liquidation loan-to-value ratios, select oracles, collateral types, and more, enhancing capital efficiency and yield optimization. Gauntlet, known for its innovative yield farming strategies, has selected Pyth’s low-latency price oracle to secure its inaugural offering on Morpho—the USDC Core MetaMorpho Vault. This partnership enhances user safety and market integrity within Gauntlet’s vaults.
“We’re excited to integrate Pyth price feeds for the UNI/USDC market in our USDC Core MetaMorpho vault to ensure robust price data integrity. Morpho’s innovation is setting new DeFi standards, and partnering with Pyth enhances user experience and market safety,” said Matt Dobel, Head of Business Development at Gauntlet. Pyth’s architecture allows decentralized applications (dApps) to access frequent, cost-effective price updates for over 500 assets via the Pythnet appchain, delivering sub-second latency data critical for DeFi operations amidst rising trading volumes and liquidity. With support across multiple blockchain networks and a substantial total value locked, Pyth continues to expand its footprint in DeFi with comprehensive price feeds across crypto, equities, forex, ETFs, and commodities markets.
The Pyth Network specializes in providing low-latency financial data typically confined to centralized institutions. By aggregating and securely bringing this data on-chain, Pyth supports decentralized finance with reliable price feeds critical for informed decision-making. For more information, visit pyth.network.
