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Scores & AI agents

How QQ Scores & AI Agents Work?​

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TLDR: Data → AI agents → Scores → Clear overview for your decisions.

  1. Data collection
    QQ Omega collects and organizes on-chain data such as holders, flows, liquidity, and token activity, as well as off-chain data such as products, documentation, news, and macroeconomic context.

  2. AI agents per dimension
    Data is grouped by dimensions and fed into multiple, structured swarms of AI agents, each dedicated to a specific analytical area.

    Here are some examples:

    • Fundamentals swarm: one agent for team, one for product, one for security, and more.
    • Tokenomics swarm: one agent for buybacks, one for emissions, one for unlocks, one for utility, and more.

  3. From swarms to scores

  • Each swarm produces a dimension score based on its own metrics and evaluation rules (for example, a Fundamentals Score).
  • All dimensions scores are combined using different weights and normalization methods into a global QQ score for each crypto-asset.
  • Each crypto-asset has four global QQ scores: Daily, Weekly, Monthly, and Yearly, so the score matches the time horizon of the data and the weights used across dimensions.
  1. Continuous updates
    As new data becomes available, such as on-chain movements, token unlocks, new partnerships, or shifts in market sentiment, agents update their assessments and the scores evolve over time.