Remember that DeFi liquidation crash? On the surface, it looks like a sudden market shift, but in reality? Price data arrived a few seconds late, and the liquidation was triggered accordingly. Or if you've played blockchain games, you might feel that the "random number" is like a script written by someone? This isn't conspiracy theory—blockchain itself is secure, but if the data fed into it is flawed, all cryptographic guarantees are just empty talk.

Where's the root of the problem? Smart contracts never lie, but they can only read the data provided to them. A delayed quote, a manipulated random seed—these are enough to trigger chain reactions—DeFi protocols being arbitraged, game economies collapsing. Many projects have fallen because of this. A team tired of these incidents decided to tackle the source of the data. Their backgrounds are diverse—financial experts, AI algorithms, infrastructure veterans—all of them have witnessed how many protocols collapsed overnight due to data vulnerabilities. Instead of rushing to issue tokens and raise funds, they focused on a fundamental question: since blockchain aims for "trustlessness," why can data still be a single point of failure?

Let me talk about their technical approach. Instead of choosing sides between on-chain and off-chain, why not combine the advantages of both? The entire architecture has two push methods—

**Push Mode**: Imagine a rolling quote board in a trading exchange, high-frequency data needs (like real-time trading prices, liquidation trigger lines) are actively pushed onto the chain, with latency reduced to milliseconds.

**Pull Mode**: Similar to self-service courier tracking, low-frequency data that is only needed occasionally is fetched on demand by users, saving a lot of Gas fees.

The really interesting part is this hybrid approach. The off-chain component uses AI for early warning—detecting abnormal data patterns, market manipulation signals—all handled here with lightning-fast response. The on-chain part? Multiple independent nodes cross-verify, and once data is on-chain, it leaves a permanent record. This combination is somewhat like "AI traffic monitoring by traffic police + full-time dashcams"—it can quickly sense road conditions and also provide solid evidence to prevent deception.

The benefits of this hybrid scheme are obvious—DeFi protocols no longer need to worry about liquidation data delays; blockchain game developers can truly implement fair random mechanisms, players won't always feel cheated; when bridging assets across chains, the asset valuation becomes more trustworthy. Even weather data, logistics info—these kinds of "predictive" data can become more reliable through the same system.

Of course, the hardest part isn't the technology itself—it's whether projects in the ecosystem will actually adopt it. Data reliability has always been taken seriously only after experiencing losses. Those who have gone through liquidation storms and been fooled by random numbers are now looking for ways to upgrade their data sources. The gap is there, and the question is who can fill it in the most seamless way.