How Scores & AI agents work

How QQ Scores & AI Agents work

1. Data collection
   QQ-Omega pulls organize data On-chain (holders, flows, liquidity, token, etc.) and Off-chain (product, docs, news, macro-economy)

2. AI agents per area
   Each macro score is made of 5 different organizated groups of AI agents Here's two example:

   • Fundamentals → one agent for team, one for product, one for security, etc.
   • Tokenomics → one for emissions, one for unlocks, one for utility, etc.

3. From agents to scores

   • Each agent produces a sub-score based on its own metrics and rules.
   • Sub-scores are combined into a macro score (e.g. Fundamentals Score).
   • All macro scores are then aggregated into a global QQ Score for each project.

4. Continuous updates
   As new data comes in (on-chain moves, unlocks, new partnerships, social shifts),
   agents update their view and scores evolve over time.

In short:
Data → AI agents → Scores → Clear signals for your decisions.