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Configure & Simulate Your Data Agent

Once you've selected a Data Agent, you can fine-tune it to match your AI system’s needs.

Configuration Steps:​

  1. Set Processing Rules – Define insights, preferences, and filtering parameters.
  2. Select Data Sources – Choose which datasets or real-time feeds the agent will use.
  3. Adjust Memory & Computation – Optimize storage and compute usage.
  4. Run a Simulation – Preview how the Data Agent processes data before deployment.

Example Configuration: Token Narrative Agent​

  • Insights: Select relevant token data (e.g., volume inflow, volatility).
  • Preferences: Set priority metrics for sorting token narratives.
  • Focus: Exclude specific tokens or outliers.
  • Agent Context: Define processing scope and integration format.

🔹 Once configured, run a simulation to test how the Data Agent transforms raw data into AI-ready intelligence.