
During their work on the DefiLlama-Adapters repository, Flaura enhanced the Vaquita protocol’s TVL calculation by implementing multi-strategy vault queries. This update allowed the protocol to accurately aggregate assets across diverse strategies and their associated aTokens, improving both flexibility and precision in asset management. Flaura approached the problem by extending backend logic and integrating new API interactions to support these multi-strategy scenarios. The work required a strong understanding of JavaScript, backend development, and smart contract interaction. Over the course of the month, Flaura delivered a single, in-depth feature that addressed complex requirements for DeFi asset visibility and reporting.

Month: 2025-11 — DefiLlama/DefiLlama-Adapters Key focus: delivering a more accurate, flexible TVL computation for Vaquita by extending vault queries to accommodate multi-strategy assets and corresponding aTokens. This aligns asset management with diverse strategy deployments and enhances visibility for users and partners. Major outcomes include the successful integration of multi-strategy vault queries into Vaquita’s TVL calculation, improving coverage and precision across asset strategies.
Month: 2025-11 — DefiLlama/DefiLlama-Adapters Key focus: delivering a more accurate, flexible TVL computation for Vaquita by extending vault queries to accommodate multi-strategy assets and corresponding aTokens. This aligns asset management with diverse strategy deployments and enhances visibility for users and partners. Major outcomes include the successful integration of multi-strategy vault queries into Vaquita’s TVL calculation, improving coverage and precision across asset strategies.
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