IT OPS
Axiom Runaway-Emitter Agent Investigator with Sampling Proposal
An agent investigates an Axiom cost spike end to end — pinpointing the noisy service, sampling its log lines to find the repeating pattern.
How it runs
The automated pipeline, trigger to output.
- TriggerCost-monitor webhook opens investigationHTTP webhook
- ActionAgent ranks Axiom services, isolates emitterAxiom
- ActionAgent samples + clusters offending log linesAxiom
- ActionAgent opens scoped GitLab sampling-rule MRGitLab
- OutputPost root-cause summary + MR to SlackSlack
What it does
Runs the full investigation a senior on-call would do. An agent queries Axiom to find which service spiked, samples that service's actual log lines to identify the dominant repeating message or log-loop, reasons about root cause, and produces both a human-readable Slack writeup and a concrete GitLab sampling-rule proposal scoped to the offending pattern.
When to use it
Use it when a raw "service X is noisy" alert isn't enough and you want the *why* — the specific log statement driving cost — plus a targeted fix that won't blind you to the logs that actually matter.
How it works
- 1A webhook from the cost monitor opens the investigation with the spike window.
- 2The agent queries Axiom to rank services and isolate the top emitter.
- 3The agent samples that service's log lines and clusters them to find the dominant pattern.
- 4The agent drafts a targeted sampling rule and opens a GitLab MR scoped to that pattern.
- 5It posts a Slack summary with root cause, evidence, and the MR link for sign-off.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect GitLabRepos, MRs, pipelines, registry.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Connect HTTP webhookTrigger any URL on agent actions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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