MonadScore operates through a structured and transparent process, ensuring that every user’s engagement is measured accurately. The system evaluates on-chain activity, node participation, and referral-based incentives to build a dynamic reputation profile. Below are the key steps that define how MonadScore functions:
1. AI-Powered On-Chain Analysis
MonadScore continuously analyzes blockchain interactions, smart contract engagements, and user contributions in real time. AI-driven algorithms assess activity levels, transaction frequency, and governance participation to generate a comprehensive reputation score. This prevents manipulation and ensures that only genuine contributors are recognized.
2. Node Mining Mechanism
Users can mine MonadScore points by maintaining active nodes. The base mining rate is set at 0.5 points per second, ensuring a steady accumulation of points for those who actively participate. By keeping nodes operational throughout the day, users maximize their earning potential and improve their reputation score.
3. Daily Activity Reset
Node activity resets every 24 hours at 00:00 UTC. Users must ensure they maintain their engagement before this cutoff to optimize their daily mining rewards. This reset mechanism encourages continuous participation and prevents users from gaming the system through sporadic activity.
4. Connection Streak System
MonadScore tracks engagement over a 7-day period through its connection streak system. This feature rewards users who maintain consistent activity, reinforcing the importance of long-term participation. A higher connection streak reflects a strong commitment to the ecosystem, increasing the user's overall score.
5. Referral-Based Incentives
To encourage community growth, MonadScore includes a referral program that rewards users for inviting new participants. As referrals increase, users progress through different tiers, each offering additional point bonuses. This tiered structure promotes organic expansion while maintaining fair distribution.
6. Extra Points for Engagement
Beyond node mining, users can earn additional points by completing daily tasks and participating in on-chain activities. These tasks may include governance voting, smart contract interactions, or specific project-based challenges designed to incentivize deeper involvement in the Monad ecosystem.
7. Real-Time Score Adjustments
Since MonadScore is an adaptive reputation system, scores continuously evolve based on user behavior. AI-driven algorithms reassess activity patterns, adjusting scores accordingly to reflect the most up-to-date engagement levels. This ensures that only active contributors maintain high scores over time.
8. Sybil-Resistant Security Measures
Security is a core component of MonadScore. AI-powered fraud detection mechanisms identify and filter out malicious actors attempting to manipulate their reputation scores. By analyzing behavioral patterns, transaction anomalies, and engagement consistency, MonadScore prevents exploitation and maintains a fair ecosystem.
9. Governance & Airdrop Optimization
Projects within the Monad ecosystem can use MonadScore to identify high-reputation users for governance participation, airdrops, and reward distributions. By leveraging an AI-driven reputation layer, decision-making processes become more efficient, ensuring that rewards are allocated to deserving contributors.
10. Seamless Integration & Access
Users can check their MonadScore by visiting the official platform and connecting their wallet, ensuring it is set to the Monad Testnet network. By running a node daily and participating in ecosystem activities, users accumulate points, improve their scores, and unlock potential benefits across the Monad blockchain.
Through this structured process, MonadScore ensures a transparent, AI-driven, and Sybil-resistant reputation system that fosters genuine participation and long-term engagement within the Monad ecosystem.
