Enzo enhanced revenue metrics tracking for the DefiLlama/dimension-adapters repository by refining the WaterNeuron adapter. He introduced a new dailyHoldersRevenue metric and restructured the adapter’s metadata methodology to enable more granular and accurate revenue analysis. Using TypeScript and applying full stack development and refactoring skills, Enzo removed redundant dailyProtocolRevenue data, which reduced duplication and improved the clarity of downstream analytics. His work focused on technical hygiene, making the codebase more maintainable and supporting better business intelligence for stakeholders. The changes laid a foundation for future metric expansions and improved the overall fidelity of revenue signals within the analytics pipeline.