Please describe your proposed solution.
Statur, a reputation model that evaluates individuals or entities based on their positive actions and contributions. It enables tracking and management of reputation, encouraging engagement in reputation-building activities. Data collection mechanisms capture user´s positive behaviors, and algorithms calculate reputation metrics, including quantitative (karma points) and qualitative (badges) metrics. Statur leverages Iagon's decentralized storage, ensuring secure data storage. Use cases include assessing trustworthiness on decentralized exchanges, enhancing decision-making in blockchain governance, and maintaining quality in web3 platforms. Statur integrates with Iagon's storage protocol, aiding users in viewing reliable and transparent information. The proposed action plan covers development tasks for data collection, reputation calculation, UI design, and deployment. Overall, Statur offers a secure solution for reputation management in web3 contexts.
Objectives
- Develop a reputation quantification and evaluation system: The document aims to create a system called Statur that can quantify and evaluate the reputation of individuals or entities based on their actions, behaviors, and contributions within a specific context or ecosystem.
- Define metrics and criteria for reputation measurement: It proposes to define metrics and criteria for measuring these activities. These metrics will be used to calculate reputation scores and provide a comprehensive view of a user's reputation.
- Establish a quantitative reputation metric: It suggests incorporating a quantitative reputation metric, such as karma points, to represent the overall reputation of users. Karma points can be earned based on specific actions and contributions, providing a tangible measure of reputation.
- Establish a qualitative reputation system: It proposes establishing a qualitative reputation system through the use of badges. These badges will recognize notable achievements and provide additional recognition for users who have made significant contributions or achieved certain milestones.
- Implement automated distribution mechanisms: It aims to implement automated distribution mechanisms for karma points, upvotes, and downvotes. These mechanisms will ensure fair and consistent distribution based on predefined rules, avoiding bias or manipulation.
- Securely store reputation-related data: It highlights the use of Iagon's decentralized storage infrastructure to securely store reputation-related information, preset rules for reputation. This infrastructure ensures data integrity, availability, and privacy, providing a robust and reliable solution for managing reputation data.
- Explore impactful use cases: It outlines several use cases where the reputation model can be applied within the web3 ecosystem. These use cases include decentralized exchanges, blockchain governance, decentralized autonomous organizations, identity verification, token curated registries, and web3 social platforms.
- Utilize reputation model in Iagon storage and computational protocol: It suggests effectively utilizing the reputation model within the context of Iagon's storage and computational protocol. This includes selecting reliable storage providers, trustless data storage, incentivizing quality storage services, efficient dispute resolution, and reputation-based governance and decision-making.
- Develop the necessary components and APIs: It provides an action plan that includes tasks such as reputation calculation, karma point system implementation, badge system implementation, automated distribution development, user interface design, reputation API development, contract development, reputation update mechanism implementation.
Overall, the objectives of the Statur revolve around creating a robust reputation model that can be utilized in various contexts within the web3 ecosystem, ensuring fairness, transparency, and security in reputation evaluation and management.