Decision Cells
Decision cells are graph-based workflows that help you structure complex decisions using market signals and automated agent execution.
What is a decision cell?
A decision cell is a container that holds a graph of connected nodes. Each node represents a factor in your decision. Nodes can be linked to prediction markets (for probability signals) and agents (for automated execution when conditions are met).
Creating cells and nodes
Create a cell from the Decisions page, then add nodes for each factor you want to track. Nodes can be weighted to reflect their importance. The cell automatically computes an aggregate score from its nodes.
Attaching markets and agents
Attach a market to a node to feed its probability signal into the decision graph. Attach an agent to automate execution when the cell's aggregate score crosses a threshold. This creates a closed loop: market data informs the decision, and the decision triggers agent action.
Automation rules
Set automation rules that define when agents should execute based on the cell state. Configure alerts to get notified when specific conditions are met. The automation runner evaluates cells periodically and triggers configured actions.