Dashboards that think
Charts don't just display data. They're monitored by dedicated agents that detect anomalies, predict trends, and surface insights. An orchestrator synthesizes across your entire dashboard, finding correlations no single source could reveal.
Every chart has an agent
When a chart is created, a dedicated monitoring agent is assigned to it. This agent watches the data stream continuously -- detecting anomalies, identifying trends, and predicting future values. When something unusual happens, it doesn't just flag a number. It explains why.
Four specialized swarms power every dashboard: Monitor (real-time anomaly detection), Enricher (contextual data augmentation), Predictor (trend forecasting), and Alerter (threshold-based notifications).
Monitor Swarm
Real-time anomaly detection across all charts
Enricher Swarm
Augments data with external context and correlations
Predictor Swarm
Forecasts trends using historical patterns
Alerter Swarm
Fires notifications when thresholds breach
Correlations no single source could reveal
An orchestrator agent synthesizes across your entire dashboard. It sees patterns that emerge only when multiple data sources are combined -- a spike in customer complaints correlating with a deployment, a drop in revenue matching a competitor's campaign, weather patterns affecting supply chain costs.
Pattern Detection
Finds correlations across unrelated data sources automatically
Causal Analysis
Distinguishes correlation from causation using temporal analysis
Insight Surfacing
Proactively surfaces findings you didn't know to look for
The right visualization, automatically
Agents don't just fetch data. They determine the optimal way to display it. Line charts for trends, bar charts for comparisons, sankey diagrams for flows, choropleths for geography. You describe what you want to understand. The platform decides how to show it.
Line
Area
Bar
Ring
Pie
Radar
Sankey
Funnel
Choropleth
Live
Ready to speak it into existence?
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