Decentralized oracles, in particular, have been designed to mitigate the problems presented by their centralized counterparts. The latter often rely on single data sources that, while they may be quick and easy to implement, are vulnerable to manipulation and errors. Data manipulation in prediction markets can have severe consequences, leading to inaccurate outcomes and poor decisions based on incorrect information. In contrast, decentralized ones use a network of independent nodes to collect and verify data, eliminating the risk of a single point of failure and significantly reducing the likelihood of manipulation.