Bitcoin.com: Optimizing EVM Fee Estimation with Quicknode Streams

Bitcoin.com, a leading crypto wallet, faced challenges in accurately estimating Ethereum Virtual Machine (EVM) transaction fees. They often underestimated fees which led to stuck transactions. Their existing options relied on third party APIs with limited insight into how fees were predicted, or RPC websockets which were prone to disconnection and difficult to backtest.

By leveraging Quicknode Streams, Bitcoin.com could ingest blocks in real-time and filter for fee-specific data efficiently. This integration allowed them to index new block data directly into their backend, ensuring real-time updates and improved accuracy in their EVM fee estimator. Additionally, given the dynamic nature of fees, Bitcoin.com could easily run replays and back test models and algorithms on fee predictions in periods of high volatility to ensure accuracy.

Improved Accuracy

By filtering fee-specific data in real-time, Bitcoin.com achieved more accurate EVM fee estimations, enhancing their user experience.

Increased Efficiency

Streams automatically routing data to its destination reduced the manual effort required from the data team.

Scalable Solution

Streams multi-chain support enabled Bitcoin.com to backfill and remain real-time at the tip with multiple EVM chains needed for their wallet.