The Role of Oracles in Web3’s Evolution
Every blockchain application-whether it’s a lending protocol, a derivatives exchange, or a stablecoin-relies on one invisible element: accurate market data. Without trustworthy oracles, prices slip, liquidations fail, and systems lose user confidence. For years, DeFi has wrestled with the challenge of pulling real-world prices into decentralized systems. Pyth Network emerged as a response to this exact issue, but instead of sourcing data through layers of intermediaries, it went straight to the origin: trading firms, market makers, and now even digital banks.
Pyth’s Distinctive Approach
Unlike traditional oracles that aggregate third-party feeds, Pyth introduced a first-party data model. This means the actual institutions executing trades-names like Jane Street, Cboe Global Markets, Two Sigma, and Jump Trading-publish their own data directly to the network. By eliminating unnecessary middlemen, Pyth reduces latency, boosts accuracy, and raises trust levels for dApps that depend on millisecond-level precision.
A Web of Connections Across 80+ Blockchains
Interoperability has been Pyth’s biggest strength. By mid-2024, Pyth was live across more than 80 blockchains, from high-speed Solana and Sui to Ethereum Layer 2 networks like Optimism and Base. Its expanding footprint means builders don’t have to compromise between speed, security, or cost-Pyth adapts to their environment, bringing the same high-quality feeds across chains.
Revolut Joins as a Publisher
A pivotal moment arrived in 2025 when Revolut, the digital banking giant with over 45 million global users, began contributing its market data to Pyth. This marked the first time a mainstream fintech bank integrated with a decentralized oracle. It wasn’t a symbolic partnership-Revolut’s trade data now flows into Pyth’s feeds, giving DeFi builders access to institutional-grade, bank-level pricing in real time. This integration shows how traditional finance and blockchain can genuinely complement each other instead of existing in silos.
Explosive Growth and Real-World Impact
In Q1 2025 alone, Pyth secured $149 billion in trading volume powered by its feeds, according to independent analytics reports.
Pyth expanded from 83 price feeds in 2021 to more than 550+ feeds spanning equities, FX, crypto, and commodities by early 2025.
New dApps are harnessing this data in creative ways. For example, Kai Finance on Sui now sends Telegram alerts on yield farming positions using Pyth’s feeds, turning raw pricing into actionable intelligence for users.
Beyond DeFi: A Broader Infrastructure Vision
While DeFi remains the backbone of Pyth’s adoption, its real vision extends further. By connecting banks, trading firms, and blockchains, Pyth is laying the groundwork for a hybrid financial system where transparency, speed, and accessibility define market interactions. It’s not just an oracle anymore-it’s becoming a network of financial truth bridging institutions with on-chain innovation.
Conclusion: The Silent Conductor of Market Data
Pyth Network doesn’t market itself loudly; it doesn’t need to. Its growth speaks through the billions it secures, the institutions it brings on board, and the builders who rely on its feeds daily. In an industry where misinformation or delayed pricing can topple protocols, Pyth has positioned itself as the quiet conductor orchestrating a symphony of real-time truth.