2秒 delay, leading to chain reactions of liquidations, caused a certain exchange to suffer heavy losses. This incident made me realize that the issues with on-chain oracles are far more serious than imagined.

Speaking of oracles, many people think they are all the same—just moving off-chain data onto the chain. But the reality is: if the data source itself is flawed or manipulated, no matter how fast, it’s useless. That’s why some are researching projects like APRO.

When market volatility is intense, all kinds of bizarre liquidations begin. Sometimes prices don’t move that much, but due to delayed or polluted oracle data, DeFi protocols start liquidating each other. Systemic risks accumulate silently in this way.

**A New Approach to Anti-Fraud Detection**

APRO aims to do things differently. It thinks: instead of passively waiting for data, why not actively verify it? Like a 24-hour data inspection lab:

Noticing abnormal price fluctuations? First, check if it’s manipulated. Simultaneously scan over 30 data sources to see if others are reporting the same price. Then compare with historical patterns to see if this fluctuation is within normal range.

In other words, AI isn’t just a hype for speculation; it’s a genuine content auditor. It won’t say “this data looks correct, push it through,” but instead ask three questions: Is it reasonable? Is there support? Are there any manipulations?

**Different Scenarios, Different Data Provision Methods**

Here’s a detail: different applications have different data needs. DeFi protocols require a continuous stream of prices, like a subscription coffee service. Derivatives trading might have intermittent demands. APRO’s approach is to differentiate scenarios and provide tailored services, rather than a one-size-fits-all solution.

What the blockchain world needs most now is this kind of data infrastructure that understands scenarios and risks.