Axiom

Infrastructure

Neotask on OpenClaw automates your Axiom observability stack — querying logs, managing dashboards, and monitoring alerts so your team focuses on building instead of watching graphs.

What You Can Do

Your AI agent turns Axiom into a hands-free observability operation. Query logs, manage dashboards, and monitor alerts — all running autonomously or triggered by conversation.

Conversational Log Analysis

Describe what you want to know and your agent writes the APL query, runs it, and interprets the results. No more switching between documentation and the query editor. Search across datasets, filter by time range, and aggregate by any dimension.

Dashboard Lifecycle

Create dashboards from scratch, update existing ones with new panels, export snapshots for reports, and clean up ones you no longer need. Your agent maintains your dashboard library so it reflects your current operational priorities.

Metric Intelligence

List and search metrics, query metric values, explore tag dimensions, and retrieve tag values. Your agent helps you understand metric cardinality, identify anomalies, and build metric-driven dashboards.

Proactive Monitoring

Review active monitors and their trigger history. Your agent surfaces which alerts fired, when they fired, and correlates them with log data to help you understand root cause.

Every action runs autonomously or requires your approval — you decide.

Try Asking

  • "Show me all error-level logs from the payments service in the last 2 hours"
  • "Create a dashboard tracking request latency p50, p95, and p99 across all services"
  • "Which monitors triggered in the last 24 hours? Correlate them with the logs"
  • "Query the 'api-logs' dataset for all 5xx responses grouped by endpoint"
  • "Export the 'SRE On-Call' dashboard as a snapshot for the weekly report"
  • "What metrics are available for the 'kubernetes' dataset? Show me the tag values for 'namespace'"
  • "Update the production dashboard to add a panel for database query latency"

    • Pro Tips

  • Schedule morning observability reviews — your agent checks overnight monitors, surfaces anomalies, and prepares a status summary
  • Use multi-agent teams for incident response: one agent queries logs, another checks monitors, a third updates the incident dashboard
  • Saved queries are your agent's memory — save complex APL queries and reference them by name in future conversations
  • Dashboard exports make excellent attachments for incident post-mortems and weekly status reports
  • Pair Axiom with your alerting integration so fired monitors automatically trigger agent investigation
  • Metric tag exploration helps you discover what dimensions are available before building complex queries

    • Works Well With