Changelog

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.

Foundation for a unified edge deployment architecture.

Metrics builder and better parsing of GenAI attributes in OpenTelemetry traces.

Enhanced view access controls and more reliable PagerDuty incident resolution.

Audit logs now capture query context, sources, and resource consumption to help you understand team activity and optimize costs.

Better chart validation feedback, filter for datasets in dashboards, and upcoming ability to query metrics inside Axiom.

Introducing enhanced query field interactions, improved trace linking, and better chart management.