Recently, with the high enthusiasm for prediction markets, I decided to study various oracle solutions. After all, the accuracy of on-chain data directly affects the success of trades and is crucial for position management. I’ve been experimenting with the APRO solution for a while and found some noteworthy aspects. Today, I want to share my actual experience using it.

The reason I started paying attention to it is quite practical—I've been using a leading oracle service before. Honestly, as an industry standard, it’s stable and reliable, but the cost is really hard to bear. Every data call incurs a fee, and with frequent trading, the cost curve skyrockets. Later, I discovered that APRO supports a pull model, an on-demand call mechanism, with a more friendly fee structure, so I decided to give it a try.

On the day I integrated it, I have to say their technical documentation was quite good—much clearer than I expected. The Live-API interface is straightforward, allowing direct retrieval of price data and signatures, which can then be verified on-chain. I ran a test contract on BNB Chain, calling the verifyAndReadLatestPrice function, and the entire process went smoothly. The latency performance was also quite ideal, basically meeting the data timeliness requirements of DEXs and lending protocols.

But I must point out one thing: although they claim to support over 40 chains, in reality, some chain contract addresses are incomplete. For example, when I wanted to deploy on Base, I had to ask the community for the correct VerifierProxy address after a long search. This part of the documentation definitely needs quick improvement, or it will significantly impact developer experience.

From a functionality perspective, APRO’s multi-chain compatibility and cost optimization are on the right track, especially for high-frequency trading scenarios. However, there’s still room for improvement in documentation completeness and developer tooling.