DefiLlama/dimension-adapters
Nov 2025 – Nov 2025
1 Month active
Languages Used
TypeScript
Technical Skills
API integrationadapter designbackend developmentdata fetchingdata querying
Hai Nguyen
PROFILE
Hai Nguyen
Quoc Hai Pham developed and integrated a Kensei adapter for the Katana chain within the DefiLlama/dimension-adapters repository, focusing on surfacing fees, revenue, and total trading volume. He replaced Dune SQL-based queries with API-driven data retrieval, leveraging TypeScript for backend development and adapter design. His implementation included in-range aggregation to compute trading volume across buy and sell trades within defined timestamp ranges, improving data freshness and reliability. This work addressed data-source fragility and enabled more scalable analytics for Katana metrics. The project demonstrated depth in API integration and data querying, resulting in a robust foundation for faster business insights.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
77
Activity Months1
Your Network
424 people
Work History
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025: Delivered the Kensei adapter integration for Katana data to surface fees, revenue, and total trading volume. Replaced Dune SQL-based volume queries with API-driven data retrieval and implemented in-range aggregation to compute trading volume over a defined timestamp range. This work enhances data freshness, reliability, and scalability for Katana metrics, reduces data-source fragility, and positions us for faster analytics and business insight.
2 Commits • 1 Features
Nov 1, 2025November 2025: Delivered the Kensei adapter integration for Katana data to surface fees, revenue, and total trading volume. Replaced Dune SQL-based volume queries with API-driven data retrieval and implemented in-range aggregation to compute trading volume over a defined timestamp range. This work enhances data freshness, reliability, and scalability for Katana metrics, reduces data-source fragility, and positions us for faster analytics and business insight.
November 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
TypeScript
Technical Skills
API integrationadapter designbackend developmentdata fetchingdata querying
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