Worked on the DefiLlama/defillama-server repository to enhance the accuracy of token price data by introducing a liquidity-based filtering feature. This update focused on integrating Aktionariat data and modifying the price retrieval pipeline to exclude tokens with insufficient buy liquidity, thereby reducing data noise and improving the reliability of downstream analytics. The implementation involved backend development using TypeScript and leveraged API integration skills to ensure only tokens meeting specific liquidity criteria were considered. By refining the data filtering process, the work contributed to more precise and actionable price information for users relying on the platform’s analytics and decision-making tools.