Circle offers Activity Scores, a machine-learning feature that assigns each community member a weekly engagement score from 1 to 10 based on their activity over the past 30 days, benchmarked against activity data from other communities on the platform. Scores are visible only to community administrators.

The machine learning model analyzes four behavioral signals: Presence (visits), Contribution (posts and comments), Participation (likes and event RSVPs), and Connection (active direct messages). Scores are updated weekly and benchmarked against data from other Circle communities to normalize for seasonality and community-specific activity levels. Administrators can enable or disable individual scoring factors in Community AI settings. Activity Scores can be used as filters in Circle's workflow engine to trigger automated actions such as sending targeted emails or invitations to specific engagement segments.