Meteora, a DeFi platform on the Solana blockchain, has partnered with Pyth Network to provide real-time price data for Solana-native tokens. This collaboration expands the data offerings of Pyth Network and will benefit the Solana DeFi ecosystem. Meteora offers a range of DeFi primitives on Solana, including stablecoin liquidity, lending protocol capital, and efficient AMM pools. The integration of Meteora's data will facilitate the development of oracles for Solana liquid staking tokens, enabling the use of over $9 billion in staked SOL for Solana DeFi purposes.
馃尃 @MeteoraAG is the liquidity backbone for @solana DeFi. Meteora is now contributing its real-time price data for Solana-native tokens! This collaboration greatly enhances the data offerings of the Pyth Network, especially for the Solana DeFi ecosystem. 鈩癸笍 About Meteora
Trump Greenlights US Bitcoin Strategic Reserve

Key developments in crypto this week: - President Trump approves creation of US Bitcoin Strategic Reserve - Sui Network partners with Babylon Chain for Bitcoin security - Circle commits to USDC on Monad mainnet at launch - ElizaOS debuts no-code AI agent platform - Solana rises 4.5% following Canada's first spot crypto ETFs - Sygnum predicts Q2 2025 altcoin rally - Kyrgyzstan advances CBDC plans - Google searches for Bitcoin up 26% MoM - MoonPay expands TON and USDT access in US *Notable integrations*: Sui-Babylon partnership enhances Bitcoin security, while Circle's USDC commitment strengthens Monad's launch.
Proof of Pyth Continues Strong Growth
Pyth Network's oracle service continues to demonstrate consistent growth and adoption across the blockchain ecosystem. Key developments include: - Integration with syUSD, now live across 100+ blockchains - Sustained proof of network reliability since February 2025 - Growing support from Market Data Partners (MDPs) - Successful implementation on TradeOnDESK platform The network maintains its position as a leading first-party oracle solution, with regular proof validations occurring approximately weekly.
SheFi Partners with Pyth for Season 13 Web3 Education Cohort
SheFi, the leading Web3 education platform for women, has announced its Season 13 cohort in collaboration with Pyth Network. - Program focuses on empowering women through Web3 education and career development - 8-week comprehensive curriculum offered - Scholarship opportunities available for participants SheFi continues to build the largest women-focused Web3 community, making blockchain technology more accessible through structured learning programs and professional development initiatives. *Want to participate?* Join the upcoming cohort to gain hands-on experience in blockchain technology and connect with industry leaders.
Pyth's Entropy Brings Verifiable Randomness to Soneium

Pyth Network has expanded its services by launching Entropy, a secure random number generator, on the Soneium blockchain. This development marks a significant step for decentralized applications requiring verifiable randomness. - **Early Adopters**: @handsnftfun and @potluck_fun are the first projects implementing this technology - **Integration Timeline**: Following successful testnet implementation with SoneFi - **Technical Impact**: Enables fair and transparent random number generation for gaming, NFTs, and DeFi applications This launch strengthens Soneium's infrastructure for developers building applications that require provably fair random outcomes.
JunkyUrsas Launches GambleFi Hub on Berachain with Pyth Entropy Integration
JunkyUrsas, a new GambleFi platform on Berachain, has integrated Pyth Entropy for secure random number generation across multiple games: - Ursaroll - Honey Flip - Junky Slots - Blinko The integration ensures provably fair gaming mechanics through Pyth's decentralized entropy source. This launch is part of Berachain's growing ecosystem, which recently added Pyth Core and Entropy support with access to 11 sponsored price feeds including $BERA, $BTC, and $ETH. Try it out: [JunkyUrsas Beta](https://betabersion.junkyursas.com/) For developers: [Pyth Entropy Documentation](https://docs.pyth.network/entropy)