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.
Changelog
npx @buildinternet/releases get changelogLabels 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.
Axiom introduces a Command Menu opened with ⌘K on Mac or Ctrl+K on Windows and Linux, letting users find datasets, dashboards, and monitors without leaving the keyboard.
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.
Large dashboards can now be divided into collapsible sections that group related elements, and queries from collapsed sections stop running.
Gauge chart elements can now be added to dashboards and configured with data, including value fields, min/max ranges, thresholds, and custom styling.
Dataset schema locking makes a dataset's schema immutable, blocking new columns, column removal, renames, type changes, and other structural modifications at the API level.
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.
Correlations are now available in Axiom.
Hyper-cardinality, unified with logs and traces, and fully queryable by AI agents through MCP and a dedicated metrics skill.
Dashboards API gives you full programmatic control over dashboards.
Turn your AI coding agents into evaluation suite authors with the Write Evaluations skill.
Score your AI capability's outputs against live production traffic in real-time.
Turn your AI coding agents into metrics exploration experts with the Query metrics skill.
Sort fields by how often they appear, get smarter APL autocompletions, and improve API token management.
Capture user feedback on AI capabilities with direct trace linking, generate dashboards from metrics datasets, and export query results in TOON format.
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.
Introducing support for API token filtering and improved traces UI.
A comprehensive set of GenAI functions to simplify working with conversation data from large language models and AI systems.
Offline evaluations for AI engineering and better alerting for data availability.




