APRO's Oracle solution has taken an interesting approach: off-chain computation and data aggregation, with verification on-chain. This allows for handling complex business logic while ensuring auditability.

The key highlight is the built-in AI capability. It’s not just about pushing data on-chain, but supporting analysis and processing of unstructured information like videos and images, as well as cross-chain event tracking and proof. Coupled with standardized APIs and SDKs, connecting multiple public chains is also straightforward.

The incentive and arbitration mechanisms are designed to ensure the reliability of data sources — which is crucial for the long-term operation of the entire ecosystem.

Looking at the application scenarios, it’s clear why this architecture is promising: RWA requires highly trustworthy real-world asset data, AI agents need to respond quickly to market signals, and market prediction is extremely sensitive to latency. APRO’s approach is to convert unstructured real-world information into high-fidelity on-chain data through verifiable methods. This opens up significant possibilities for the next phase of decentralized application expansion.