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Dashboards, templates and Auto-Insights

There are three ways to get a dashboard, from fastest to most custom:

Way Where Best when
Templates Dashboards → Templates You want a ready-made setup for a common source
Auto-Insights Dashboards → Auto-Insights You want Anosys to look at your data and suggest what to watch
Build your own Dashboards → All Dashboards + Visualizations You know exactly what you want to see

Templates

  1. Open Dashboards → Templates and search or browse.
  2. Pick a template and select the endpoint it should read from.
  3. Review what it will create and deploy it.

A template can set up more than a dashboard: it can also add process units, alert triggers, pipelines and macros that belong together. You can edit everything afterwards.

Auto-Insights

  1. Open Dashboards → Auto-Insights.
  2. Source: choose an endpoint and time range.
  3. Analysis: Anosys looks for patterns that matter for that kind of data.
  4. Recommendations: pick the insights you want and add them as widgets.

What it looks for depends on the source, for example:

Source Examples of insights
AI agents and coding tools Expensive failures, failure patterns, tool failures and reliability, repeated tools, session outliers, model comparison, cost efficiency
Websites Daily visitors, geographic breakdown, audience quality
Network data Threat signals, targeted ports

Run it again any time with Recalculate Insights.

Build your own

  1. Open Dashboards → All Dashboards and create a dashboard.
  2. Add widgets from Visualizations. Each widget reads from one endpoint and time range.
  3. Arrange, resize and save.

Adding a Timeseries Graph widget

Visualizations

Group Widgets
AI and traces Trace Timeline, Trace Tree, RCA Report, Anosys Copilot
Time and trends Advanced Time Series, Simple Time Series, Sparkline, Calendar Heatmap
Comparison Bar Chart, Pie Chart, Table, Value Chart, Gauge Chart
Flow and distribution Funnel Plot, Sunkey Diagram, Sunburst Plot, Heatmap, Scatter Plot, Network Graph
Geography World Heatmap
Analysis Contribution Analysis, Hilbert Curve
Notes Notes Widget, Markdown Widget

You can also bring in a saved chart with Visualizations → Import Graph.

Tips

  • One dashboard per audience (for example engineering health, team spend, website traffic) stays readable.
  • Name fields in Collecting → Field Mapping so chart labels make sense.
  • Pair every summary chart with a Trace Timeline or Table so you can click through to the actual runs.