xAI-Powered Scoring

The engagement and quality scoring system uses xAI intelligence to evaluate every participant across four parallel AI modules:

1. Tweet Quality Scorer

Analyzes tweet content, engagement metrics (impressions, likes, retweets, quotes, replies), and audience quality. High-quality tweets that drive genuine engagement earn more points. Low-effort or spam-like tweets are scored accordingly.

2. Referral Ring Detector

Graph analysis that maps referral relationships and identifies circular referral patterns, mutual-referral schemes, and coordinated sign-up networks. Detected rings are flagged and excluded from referral rewards.

3. Wallet Trust Calculator

Reputation scoring based on submission history, approval rate, tier consistency, and on-chain behavior. Wallets with a strong track record earn higher trust scores, which influence queue priority and review speed.

4. Pre-Award Verification Gate

Before any points are awarded, a multi-layer verification gate runs: trust multiplier check, source-specific validation, velocity analysis, and AI verification for flagged or high-value awards. This prevents point farming and manipulation.