The most ironic thing about blockchain is that it aims for decentralization and to eliminate trust intermediaries, yet the data received on-chain often becomes the biggest black box.

Take DeFi protocols, for example. Sometimes a delay of just a few seconds in price information can cause a market crash. What about NFT games? Random numbers are exposed to patterns, quickly trending on hot searches and facing ridicule. The supposed perfect smart contract logic? But if the data fed into it is lying itself, what exactly is this system trusting?

A team was particularly annoyed by this issue. Their backgrounds are diverse—some come from traditional finance, some have worked on AI data systems, and others have tinkered with blockchain infrastructure and bug fixing. The only commonality is that all have been stymied by data quality problems.

One night in 2023, they decided to stop taking detours. Instead of continuing to compromise, they chose to face the problem head-on: either completely solve the trustworthiness of on-chain data or admit that Web3 is still just a sandbox game.

Their solution might seem a bit "clumsy"—not choosing between options, but doing both. Data transmission supports both automatic push and manual pull, because true developers need control, not to be shackled by frameworks. They use a dual-layer architecture: one layer relies on AI to interpret the chaotic real-world information, and the other uses consensus mechanisms to verify across the entire network—like a "translation + jury" combination.

They have implemented cross-chain coverage with over 40 chains, not just to hit a number, but because developers are already scattered across various ecosystems. Why insist on taking the long way around?

While others are obsessing over speed metrics, this team is focused on a more fundamental issue: how to make on-chain data truly trustworthy. Perhaps this is the watershed moment as blockchain moves from experimental to production level.