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I want to talk to you about some real-world issues.
Open a lending protocol, collateralize Bitcoin to borrow USDT. On the surface, it seems foolproof—code executes automatically, transparent and open, no one can steal it. But there's a problem: the system on the chain is actually blind.
It doesn't know whether Bitcoin is worth 69,000 or 58,000 right now. It can't see the outside world. So it needs someone to tell it the truth, and that person is called an oracle.
Here's the problem. What if this "information officer" gets bribed? Or what if it’s just a little late? The result can be terrifying—your position is actually safe, but the system is fooled into thinking you should be liquidated. Suddenly, a bot wipes out your assets. The money is gone in an instant, and there's no time to regret.
That's why I've been deeply studying APRO recently. It's not just a price reporting tool; I believe what it does is build a kind of "information verification system" for the entire Web3. In an endless battle for truth, whoever controls the accuracy and timeliness of data controls the destiny.
This war has multiple frontlines:
**The Battle of Time and Cost**
Some applications require heartbeat confirmations every second—like lending protocols, which must continuously monitor collateral values. APRO's "push mode" is like continuous physiological monitoring, keeping data fresh and notifying immediately when prices change.
Other applications only need precise data at critical moments—like a few milliseconds during a trade execution. No need for constant monitoring, but requires sniper-level precision. APRO's "pull mode" solves this—fetching the latest data only when needed, fast and cost-efficient.
The key is, it doesn't force all protocols to use the same approach. Different applications have different risk tolerances and budget constraints, and oracles should be flexible, not one-size-fits-all. That’s true engineering thinking.
The stability of the entire DeFi ecosystem ultimately depends on these data channels. The reliability of oracles directly determines the safety of lenders' assets. More and more projects are realizing this, demanding higher data quality. Those that can balance speed, cost, and accuracy are becoming infrastructure-level essentials.