What is AI Reputation?

The AI Reputation Score within the Raiinmaker Network is a critical metric for validating user participation, ranking validators, and prioritizing tasks. This system is designed to ensure that tasks are assigned to skilled and dependable contributors, thereby incentivizing the delivery of high-quality and accurate work. Participants who achieve higher reputation scores gain access to more valuable tasks and greater opportunities within the ecosystem.

A user's reputation score is derived from a combination of their on-chain identity and network behavior. This entire system is built upon the Raiin Reputation smart contract, which securely stores essential data on-chain, utilizing a hybrid model to balance privacy and cost-efficiency.

Components of the AI Reputation Score

The reputation score is calculated using a multi-factor system with weighted components:

• UAL/NVL Network Activity (25% weight): Measures the accuracy and frequency of block signing, participation in network validation, and the consistency of contributions to consensus.

• Economic Performance (25% weight): Assesses wallet holdings, participation in staking, on-chain transaction history, and engagement with cross-network DeFi protocols.

• Contribution Quality (30% weight): Evaluates the accuracy of task completions, success rates in validation, scores from peer reviews, and ratings from clients.

• Identity Verification (20% weight): Considers the level of KYC completion, verification of social media accounts, and validation of professional credentials by third-party services.

Tiers and Rewards

The reputation system features a tiered structure that provides varying levels of access and compensation based on a user's score:

• Standard Tier (0-100 points): Grants access to basic data labeling tasks at standard compensation rates.

• High Tier (101-500 points): Unlocks advanced validation tasks and provides a 1.5x compensation multiplier.

• Top Tier (500+ points): Offers access to expert-level tasks for enterprise clients, a 2x compensation multiplier, and priority in task assignments.