Pyth is redefining the concept of Oracle Machine, far beyond the traditional role of "off-chain price movers." It presents a completely new perspective: in what manner, frequency, latency, and credibility data should reach the critical decision points of a business, as well as the cost structure involved. Behind this shift in perspective is an ambitious challenge to a vast industry.

The global financial market data industry is a huge market worth over $50 billion, long dominated by a few giants, with its core revenue model based on subscriptions. Pyth's strategic goal has transcended the early DeFi Oracle Machine's "can it be used" question and is instead targeting the higher-level market demand of "is it worth institutional long-term paid subscriptions."

To achieve this goal, Pyth is completely restructuring its product form, service boundaries, business model, and token economy. It is no longer limited to simple price competition with other Oracle Machines, but is directly challenging the traditional data supply chain, vying for the time and budget allocation of professional users. Pyth's vision is to transform the "market data" business from a one-time call into an on-demand, programmable, and auditable continuous subscription service.

To fully understand Pyth's ambitions, we need to delve into the actual scenarios of data consumption. Whether it is trading protocols for perpetual contracts, derivative platforms for developing structured products, or lending systems that construct multi-asset risk engines, their demands go far beyond a "single price point at a certain moment." These systems require a stable data push frequency maintained within a specific latency range, resilience to updates even under extreme market conditions, and the ability to audit and trace back during black swan events.

Pyth is meeting these complex needs through its innovative approach, providing more specialized, reliable, and flexible data services for the decentralized finance (DeFi) ecosystem. This approach not only has the potential to change the data supply model in the DeFi space but may also have a profound impact on the entire financial market data industry.