The "oracle problem" is often framed as a technical challenge: how to get data on-chain. @Walrus 🦭/acc reframes it as an economic one: how to create a secure, scalable, and profitable marketplace for data.
Walrus's modular design is key. By breaking the data pipeline into specialized components, it allows for competition and innovation at each layer—sourcing, computation, delivery. This creates a more efficient market and dramatically reduces single points of failure. The result is a data layer that is not just functional, but economically superior.
$WAL sits at the center of this marketplace. It is the medium of exchange, the staking asset for security, and the governance tool for the network's future. Its value accrues from the volume and value of data flowing through the Walrus network. As the demand for high-fidelity, real-time data explodes—driven by institutional DeFi, prediction markets, and generative AI—the demand for $WAL follows.
This is a thesis on the monetization of data integrity. In a digital world, trustless data is a commodity, and Walrus is building the most efficient factory for its production and distribution.