RedStone, a blockchain oracle provider, has introduced a push-based oracle on MegaETH to tackle latency issues that challenge the efficiency of onchain trading.
According to a spokesperson for RedStone, the new oracle can push new prices onchain every 2.4 milliseconds. Initially debuting on MegaETH, an Ethereum layer-2 network, the product may be rolled out to additional chains in the future.
RedStone said its oracle sources prices from centralized exchanges and delivers them directly to applications or smart contracts via nodes that operate natively on the MegaETH chain.
This “co-location” strategy minimizes latency by eliminating delays typically caused by the physical distance between servers. In the future, RedStone also plans to include price feeds from decentralized exchanges.
Oracles compatible with the Ethereum Virtual Machine (EVM) are becoming more popular. According to Alchemy, there are currently 12 decentralized oracle networks operating on Ethereum.
Oracles can make money through data usage fees, licenses, staking rewards and node incentives. The current market capitalization for oracle tokens sits at $10.2 billion, according to CoinMarketCap.
Related: Trump’s World Liberty Financial taps Chainlink as oracle provider
DeFi growth spurs further rise of oracles
Decentralized finance’s total value locked onchain nears $88 billion as of April 8, after rising 116% in 2024, according to DefiLlama. Ethereum remains the top blockchain for DeFi applications, with $47.8 billion locked in the network, followed by Solana with $6.1 billion in DeFi TVL.
DeFi TVL over time. Source: DefiLlama
The rise of DeFi has intensified competition in the oracle market — an essential component for the functioning of decentralized applications. Price oracles feed real-time market data into smart contracts, acting as a bridge between blockchains and the real world.
Popular players in the oracle space include Chainlink and Pyth Network. In October 2024, Pyth flipped Chainlink in 30-day volume, reaching $36 billion in transactions. The protocol offers a pull-based model that provides data upon request, thus making it optimized for high-volume activities.
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