Query metrics skill

This week we've added support for features that allow you to turn your AI coding agents into metrics exploration experts with the Query metrics skill, query your data within its edge deployment, and send your data to non-US edge deployments from Vercel, Cloudflare Logpush, and Netlify.

The Query metrics skill turns AI coding agents into metrics exploration experts. Install it in Claude Code, Cursor, Amp, Codex, or any compatible agent. Your AI assistant can then discover available metrics, explore tags and tag values, compose and execute queries against Axiom's MetricsDB, and iterate on results, all from natural language prompts like "Query the CPU usage metric from the app.metrics dataset."

Install all Axiom skills at once:

npx skills add axiomhq/skills

For agent-specific setup instructions, see the Query metrics skill documentation.

Query results now stay entirely within your selected edge deployment. Previously, queries executed in your edge deployment but results were routed through Axiom's centralized US infrastructure. Now, both query execution and results remain within the same edge deployment where your data is stored. This means event data is ingested, stored, and queried without ever leaving your selected region.

This is especially important for organizations with data-sovereignty requirements. Frameworks that require both storage and processing to take place within a designated region are now fully supported without needing additional transfer mechanisms.

Vercel, Cloudflare Logpush, and Netlify integrations now support all edge deployments. Previously, these integrations only supported the US East 1 (AWS) edge deployment. The integrations now send data to your organization’s default edge deployment automatically, without any additional configuration.

You can now use Cmd+F (or Ctrl+F) to search results in aggregation tables, not just event rows. Previously, this key combination triggered the browser native search feature which could fail on virtualized tables.

• Fixed heatmap legend and tooltip values incorrectly showing duration-formatted counts instead of plain numbers
• Special field attributes apply correctly when used in summarize group by
• Column-level URL hints properly override row-level URLs in dashboard tables
• Added checks to make managing capabilities more reliable