The oracle's challenges have troubled the blockchain industry for years—how can external data be reliably brought on-chain without becoming a centralized bottleneck? APRO Oracle provided a new AI-driven approach in 2025. From several practical scenarios, this solution indeed touches on industry pain points.

**Data Authenticity: Multi-Source Against Manipulation**

Relying on a single data source is like a single rope, easily broken. APRO adopts multi-channel aggregation—from exchange quotes, stock APIs, to satellite data—and uses models like Time-Weighted Average Price (TWAP) to smooth the data. But having data alone isn't enough; the real value of AI comes into play here: Large Language Models (LLMs) scan data patterns in real-time, detecting anomalies and issuing immediate alerts. For example, if prices suddenly deviate from normal ranges, the system triggers an early warning. Off-chain nodes are responsible for fetching data, while on-chain verification relies on majority signatures—this dual-layer architecture significantly increases the cost of malicious acts. As of 2025, APRO has processed 89,000 requests without major failures. This approach is especially effective in prediction markets: when users bet on sports events, verifiable random functions (VRF) can prevent manipulation, ensuring randomness and fairness.

**Time and Cost: Flexibility of Push-Pull Combination**

The conflict between real-time responsiveness and gas fees has always been a challenge. APRO's strategy is to use both push and pull methods—push for emergency scenarios, direct delivery; pull for routine needs, with users choosing as needed. This approach can handle sudden market changes while preventing unnecessary fee spikes. Costs can indeed be reduced, with the key being no compromise on timeliness.