We are used to submitting data to tech giants—writing articles to platforms, uploading research to the cloud, training data for AI companies—without receiving any compensation. Walrus Protocol aims to break this situation.

The core logic of this protocol is straightforward: turn data access rights into programmable, tradable assets. You create content and can set who can view it and how much it costs per view. Automated execution, no need to trust intermediaries.

To put it practically, writers can sell reading rights by chapter; data scientists can charge per call when sharing datasets; model developers can securely conduct model transactions—all settled on-chain, transparent and intermediary-free. This is not just a concept; the mainnet is live, and collaborations with multiple AI infrastructure projects are underway, outlining practical and feasible application paths.

The key is that this change is not only technical but also shifts data creators' control over their outputs. From passive "digital tenants" to active owners. This transformation is accelerating.