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Two new notifier types send a monitor summary to a Cursor automation or Claude Code routine, and monitor labels now travel with alerts to Slack, Microsoft Teams, Discord, and webhooks. The Axiom MCP server connects via a copy-paste setup prompt in Claude Code, Codex, OpenCode, Devin Desktop, GitHub Copilot in VS Code, and Cursor, and the trace viewer gains Cmd+F search across span names, services, and field paths.

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Labels like env=production or team=platform can now be created with a color and optional description and assigned to datasets, dashboards, monitors, and notifiers, then used to filter resource lists with ANY or ALL matching, with selections preserved in the page URL. The MCP server exposes label names and descriptions alongside resource metadata to give agents service, environment, and ownership context.

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An AI agent can now create a standalone Axiom organization, work in it for 24 hours, and hand it to a human via a claim link. Multi-query and dual Y-axis charts extend beyond metrics to structured, APL, and MPL queries, and legends gain aggregation columns and sorting.

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The Axiom Grafana data source now runs both APL and MPL queries with a unified v2 query model, CodeMirror language support, and automatic migration of saved queries. APL gains four weighted aggregations, the MCP server adds monitor and notifier management, and metrics datasets get a prebuilt Kubernetes dashboard on arrival.

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Introducing Canvas, a lightweight workspace for displaying multiple charts side by side to quickly correlate and compare your data, and Axiom SRE, an expert Site Reliability Engineering (SRE) investigator skill for AI coding agents.

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A comprehensive set of GenAI functions to simplify working with conversation data from large language models and AI systems.

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Last Checked
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Oct 21, 2026
Tracking since Oct 20, 2021