Last updated: July 5, 2026
Investigate & Analyze
Agent0 reasons across your telemetry to answer questions, identify root causes, and produce grounded conclusions backed by live data.
Agent0 can use external connectors (GitHub, Linear, MCP servers) during investigations. Click the connector icon in the prompt toolbar to see which connectors are available or add new ones.
The globe icon controls network access as a security guardrail—choose "No network access" to restrict Agent0 to internal Dash0 data only, or "Full network access" when external access is needed.
Natural-language queries
Ask Agent0 about anything in your environment: services, errors, latency, deployments, infrastructure state, code changes. Agent0 reasons across correlated logs, traces, metrics, and Kubernetes data and responds with grounded answers.
Examples:
- "Why is p99 latency on the checkout service spiking?"
- "What changed in the last three deployments to auth?"
- "Which services consumed the most error budget this week?"
- "Show me errors in the orders service from the last hour."
Multi-signal root cause analysis
When Agent0 investigates an issue, it correlates across signal types: logs, traces, metrics, deployment events, infrastructure state. It forms hypotheses, tests them against live telemetry, and produces a hypothesis tree showing what it tested and why it reached its conclusions.
When the root cause traces back to code, Agent0 reads the relevant repository via the GitHub connector and identifies the specific function, method, or configuration responsible.
Charts and visualizations in responses
When Agent0's answer benefits from a visual — a time series, a histogram, a service-by-service breakdown — it renders the chart directly in the response rather than referring you to another page.
Further Reading
- About Chat — Overview of Agent0 Chat features
- Get Live Insights — Identify active problems automatically
- Use the Integrated Experience — Context-aware chat within Dash0
- Use External Tools — Query databases and integrate external systems
- Key Concepts — Reference terminology and mental model





