Recently, I saw a prediction project doing something interesting—using AI combined with a dual-layer network architecture to solve the pain points of on-chain and off-chain data interoperability.

In simple terms, the core idea of this solution is to bring unstructured real-world assets (RWA) onto the chain, allowing documents, images, and similar items to also become credible on-chain facts. This sounds straightforward, but behind it involves data verification and credibility assessment, which have always been sticking points in the oracle space.

From practical applications, this project has already expanded in several directions: naturally including crypto asset data, but also gradually launching sports event data, and recently introducing a subscription-based Oracle-as-a-Service platform. Its coverage includes prediction markets, DeFi liquidity pools, and even social media data referencing. More importantly, it supports over 40 mainstream public chains, which means the ecosystem adaptation potential is quite large.

The role of the ecosystem token here is also worth considering—from data verification and node incentives to the final service subscription fee settlements, the entire process revolves around it, making it the cyclical driver that keeps this decentralized infrastructure running.

Looking long-term, new fields like esports data and macroeconomic indicators are continuously being integrated. If the project can reliably produce high-quality on-chain data, the trillion-dollar RWA market indeed has the potential to be activated. The key now is whether the project can find a balance between reliability and scalability.