Viewing on-chain applications as a complete system engineering project reveals how important the role of oracles is. Simply put, they serve as the trust bridge between the on-chain world and the external world — the quality of this bridge directly determines the credibility of the data.

Taking WINkLink as an example, its core value lies in making "data trustworthiness" a reusable and scalable public service. What does this mean? Protocols no longer need to maintain expensive data infrastructure themselves or bear repeated risk control costs. For users, in highly volatile market environments, this provides a more stable and predictable experience.

When the data layer truly matures, it will generate two long-term benefits: first, risks become more controllable, and abnormal situations and boundary conditions are easier to detect and handle; second, innovation efficiency increases, allowing different protocols to quickly assemble new products based on the same trusted data foundation, greatly enhancing composability. These accumulations will ultimately improve the overall quality of the ecosystem, attracting more long-term capital entry and participation.

If you are conducting long-term project screening, it is recommended to focus on two observation lines: one is performance during extreme market moments, and the other is actual adoption within the ecosystem. True underlying capabilities are often validated through stress testing.