Tracking Metrics App utilization
MetricsDAO is a decentralized autonomous organization (DAO) built on the Ethereum blockchain that aims to provide a platform for decentralized finance (DeFi) projects to access reliable and transparent data analytics. The platform provides a suite of tools and services that allow users to access real-time data on various DeFi protocols, including liquidity pools, yield farming, and more.
MetricsDAO uses a governance token called METRIC, which allows token holders to participate in the decision-making process of the DAO. The platform also has a revenue-sharing model, where a portion of the revenue generated from its services is distributed among METRIC token holders.
The MetricsDAO platform is designed to be user-friendly and accessible to both novice and experienced DeFi users. It offers a range of features, including customizable dashboards, real-time alerts, and data visualization tools.
Overall, MetricsDAO aims to provide a reliable and transparent platform for DeFi projects to access data analytics, enabling them to make informed decisions and optimize their performance.
In this dashboard, the utilization of the MetrcsDAO app has been investigated from various aspects. This dashboard is divided into the following parts:
- The general stats related to the utilization of MetricsDAO app
- USDC payment via app
- xMETRIC distribution and holders
- User expereince: Put wallet address and find out the activity of user on the MetricsDAO app
The data provided by Flipside has been used to handle this analysis.
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In this investigation, first of all, the utilization of the MetricsDAO app has been investigated from the analyst's and reviewers' points of view. The weekly count of participation by various users has been determined. Also, the marketplaces of the app have been compared with each other from the mentioned aspects.
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After general stats, the USDC payment and xMETRIC distribution among participants have been determined. Additionally, the distribution of xMETRIC holders has been identified based on held tokens. Also, the leaderboard of each token has been demonstrated in their represented tables.
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Finally, the last section is provided to identify the activity of the selected user on the MetricsDAO app.
