Wall Street’s traditional grip on financial data—where access to clean, real-time feeds for equities, FX, and commodities often costs tens of thousands of dollars per terminal per year—is being seriously challenged, and Pyth Network is at the center of that shift. For years, crypto and DeFi users accepted slow, limited data feeds as a tradeoff for openness. But that’s changing fast. Pyth now supports over 500 price feeds across more than 70 blockchains—including Ethereum, Solana, Cosmos chains, and a growing list of L2s and modular platforms. These aren’t limited to crypto assets either—Pyth covers equities, forex, and commodities, stepping directly into the territory once monopolized by legacy giants like Bloomberg and Refinitiv. More than 420 protocols are already using Pyth’s feeds in some capacity, from lending and derivatives to real-world asset tokenization. With rising total value secured (TVS) now exceeding $14.5 billion, and tools like “Pyth Lazer” delivering sub-millisecond latency, it’s clear that the network is maturing into real financial infrastructure—not just a novelty for DeFi enthusiasts.
Pyth is disrupting the traditional model in several key ways. First, it provides open, permissionless access, unlike legacy systems where expensive licenses and slow sales cycles control who can use data. Second, its cost structure is far more efficient—decentralized architecture and a demand-driven “pull” model mean lower marginal costs, making high-quality data more accessible, especially for smaller teams or emerging market builders. Third, speed and asset coverage are unmatched—feeds update in as little as 1 millisecond, and the breadth now includes crypto, stocks, FX, and commodities. Lastly, transparency and alignment are core to the system: multiple first-party data publishers contribute, governance is handled through on-chain proposals (PIPs), and community oversight is built in—something legacy data vendors typically lack.
The numbers back this up. As of early 2025, Pyth is securing over $75 billion in monthly volume, and its integration across chains continues to grow. The launch of Pyth Lazer on Solana proves its technical ambitions, while new governance frameworks—like community councils and validator expansion—are being established to ensure decentralization and resilience. Still, several big questions remain. Can Pyth maintain its low-latency performance as usage increases 10x or more? How will global regulators respond as decentralized oracles begin serving traditional financial data at scale? And critically, can the economics—update fees, incentives for publishers, token dynamics—be fine-tuned to remain sustainable and equitable?
For builders, this evolution is especially important. If your application depends on accurate price data—whether you’re developing a trading bot, a synthetic asset, a tokenized stock platform, or even a prediction market—Pyth is quickly becoming a go-to oracle. For investors, the growth in real usage (not just speculation) points to long-term value for the PYTH token as demand for feeds and ecosystem participation increase. And for those in underserved or emerging markets, Pyth’s model opens doors to premium-quality data previously locked behind six-figure paywalls.
In short, Pyth isn’t trying to replicate Wall Street’s data systems—it’s replacing them with something faster, fairer, and far more accessible. If data is the oil of modern finance, Pyth is laying down the pipelines that move it—designed not for the few, but for the many. Wall Street’s symphony of exclusivity is still playing, but with Pyth in the picture, the score is being rewritten, and the tempo is accelerating. @Pyth Network
