Honestly, it's very difficult for the Web3 community to break out on its own these days. Especially for foundational infrastructure projects like oracles, whether you can form collaborations with other projects essentially determines how far the entire project can go. Today, starting from real-world cases, let's talk about how fierce the ecosystem layout of a certain oracle project is, and what kind of value these collaborations have created for assets within its ecosystem.

I first paid attention to this project because of its partnership with a leading DeFi lending platform. The core pain point of DeFi lending is straightforward—accurate real-time pricing of collateral assets. If the price data is flawed, the consequences are extreme: either borrowers suffer huge losses and get liquidated, or the platform bears bad debt. Many small lending platforms have failed because of this; an attack on the oracle data can cause a collapse. But after this project got involved, it used multi-source data aggregation combined with multi-layer node verification, effectively improving the accuracy of price data and risk control levels.

What was the result? The bad debt rate of that lending platform significantly decreased, and user growth started to soar. But even more interesting is that, for the oracle project itself, this was not just about gaining a new partner. Think about it—massive amounts of real transaction data generated daily by the lending platform directly became golden datasets for optimizing algorithm models. As a result, the accuracy of the oracle was further enhanced. This is true win-win—each side benefits and helps each other succeed.

Another collaboration case that left a deep impression is its linkage with a cross-chain bridge project. What's the biggest risk of cross-chain bridges? Information asymmetry. Asset prices and transaction statuses on different blockchains are prone to mismatch, which can easily turn into security vulnerabilities. This oracle project directly built a unified price information hub for the cross-chain bridge, providing a recognized pricing system for assets across multiple chains. Suddenly, the security level of the cross-chain bridge increased significantly, and user risk concerns were greatly alleviated.

From an ecosystem perspective, this kind of collaboration logic is very clear: oracles provide the foundational data infrastructure, and various applications like DeFi, cross-chain, derivatives, etc., depend on the accuracy of this data. A project that fully understands this positioning and offers stable, reliable services naturally gains trust, attracting more and more ecosystem participants. The more participants there are, the richer the data generated, which in turn improves the data quality of the oracle—forming a positive feedback loop.

Therefore, in the Web3 ecosystem, going it alone is often a dead end. But if you can, like this project, find your position within the ecosystem chain, continuously build ecosystem collaborations, and enable all participants to benefit, the foundation becomes stable, and the space for imagination naturally opens up.