Axiom, Inc.

Explores your Axiom MetricsDB, discovers available metrics and tags, and runs targeted queries to surface latency, error rates, or custom metrics—no SQL required.

Translates a Splunk SPL query into working Axiom APL with mapped commands and equivalent functions, plus notes on syntax shifts to watch for.

Walks through hypothesis-driven triage of your logs and metrics, isolating the root cause layer by layer. Integrates with Axiom observability when available for live drilling.

Configures Axiom monitors and notification routing via API—define thresholds, set alert conditions, and test the pipeline without touching dashboards or config files.

Scans your Axiom queries to find columns and field values nobody touches, then flags the ingest patterns bleeding the most cost—plus a dashboard to track savings over time.

Describe what you want to test in plain language, and generates the eval files, scorer functions, flag schemas, and config needed for the Axiom SDK — ready to run.

Takes your log data shape and desired view, then writes Axiom API calls to create dashboard panels, queries, filters, and layout—no APL syntax memorization needed.