Most oracle projects in the market are still doing "on-chain data transportation," but one team has shifted their focus to the fundamental issue at the data layer—how to ensure both speed and efficiency while maintaining security and trustworthiness.

Existing oracles often face a dilemma: deploying entirely off-chain is fast but vulnerable to attacks; on-chain verification is secure but expensive and slow. Some projects adopt a hybrid architecture, processing complex calculations off-chain and returning key verification results on-chain. This approach solves the performance bottleneck while making the execution process transparent.

More interestingly, they allow users to customize the computation logic. DeFi protocols may require special price curves, GameFi wants to prevent bot sniping, and institutions need compliant data reports—each scenario has different requirements. This programmability transforms oracles from general tools into tailored solutions.

Security measures are implemented in three layers: in the hybrid node mode, on-chain and off-chain nodes supervise each other, greatly increasing the cost of malicious behavior; multi-network communication design prevents single points of failure, allowing self-repair even if the network is paralyzed; pricing mechanisms use TVWAP to prevent sniping and market manipulation.

What is the value of this combined approach? RWA on-chain requires verifiable data sources, AI agents need auditable execution records, and institutional investors need traceable data chains. As the industry moves from speculation to practical application, the demand for such underlying infrastructure will grow stronger. While others are still optimizing for "faster and cheaper," focusing on "how to make data truly trustworthy," the difference becomes clear.