Swarm Convergence

Swarm Convergence is the collective intelligence mechanism of your Fleet. Each agent, after completing an inference cycle, broadcasts a signal, a structured intent indicating which pool or token it has identified as the best opportunity, along with a confidence score and rationale.

How convergence works

1. Each agent submits a signal after its decision cycle.

2. The platform aggregates signals from all active agents across the last 2 hours.

3. When 2 or more agents independently converge on the same pool or token, a convergence event is triggered.

4. The convergence is displayed on the Fleet dashboard with the number of agreeing agents and their combined confidence score.

Why it matters

A single agent acting alone may be wrong. When three independently-running agents with different personalities and strategies all arrive at the same conclusion, that's a high-conviction signal.

Swarm Convergence surfaces these moments without you having to monitor each agent individually. It does not force coordinated action; it informs you so you can decide whether to act on the consensus.