What is the true value of an oracle? It is to leave uncertainty to be handled at the system's core, rather than passing the risk onto users. During periods of intense market volatility, the real test lies in several key aspects: how frequently data is updated, whether anomaly filtering mechanisms are intelligent enough, whether data sources are traceable, and whether the fault-tolerance mechanisms are complete. These details directly determine whether liquidation and risk control are executed according to established rules or are pushed around by market noise.

The more reliable the input source, the clearer the risk boundaries that on-chain protocols can define, enabling users to participate rationally. Conversely, if the data foundation is unstable, the entire ecosystem's financial applications and business complexity will have to be scaled down.

What WINkLink is doing in the TRON ecosystem is "standardizing fact input." It allows more protocols to build their products based on the same trusted data benchmark, thereby consolidating the security costs that were originally scattered across various projects into an ecosystem-level capability. A stable data foundation, once strengthened, truly opens up space for financial applications and protocol innovation.