What If Market Data Became a Public Good? The more you zoom out on Pyth, the more it resembles a foundational protocol. Where Chainlink built for oracles, @PythNetwork is building for information itself 👇🏻 1⃣ A Universal Feed Every market, from crypto to commodities, ETFs to equities, depends on one thing: price truth. Until now, that truth has lived behind paywalls. Pyth changes that by creating a decentralized price layer: over 1,600 tickers across global asset classes, sourced directly from trading desks, exchanges, and institutions. This feed updates up to once per millisecond and is already live across more than 100 blockchains. 2⃣ Infrastructure, Not Integration It’s easy to frame this as a DeFi upgrade. But latency like this isn’t for crypto-native apps only. This is the kind of speed, resolution, and breadth you need to run everything from high-frequency trading bots to institutional RWA protocols. Cross-chain, real-time pricing for traditional stocks, FX pairs, and crypto doesn’t just lower friction: it unlocks design space for products that couldn’t exist before. 3⃣ Trust That Can Be Verified What gives Pyth its credibility is the structure. Each data publisher stakes $PYTH, and the network holds them accountable for accuracy. There’s no reliance on public APIs or centralized aggregators. Everyone sees the same number, at the same time, with full transparency. You don’t have to trust the data source, you can verify its incentives. 4⃣ The TCP/IP Moment for Price Pyth isn’t trying to serve DeFi. It’s trying to serve markets. All of them. And it’s doing it the same way the early internet protocols did: by abstracting away fragmentation and letting new systems build on a unified layer of truth. When someone says Pyth is the “Bloomberg of crypto,” they’re underselling it. Bloomberg never ran on-chain. Bloomberg never scaled globally in milliseconds. 🔗 See for yourself on https://t.co/cpF0JdSfIb ...