FINANCE
Cost-anomaly agent: investigate spend spike end-to-end and file owned ticket
An agent investigates a detected spend anomaly by autonomously pulling cost data, Axiom logs, and recent commits, reasons about the most likely root cause.
How it runs
The automated pipeline, trigger to output.
- TriggerCost-anomaly-detected event fires
- ActionPull per-service cost breakdown for spike window
- ActionQuery Axiom for logs, errors, and traffic on suspectsAxiom
- ActionInspect GitHub commits and deploys in the windowGitHub
- LogicReason over evidence to rank root-cause hypotheses
- OutputFile assigned Linear ticket with attribution + remediationLinear
What it does
Given a detected cost anomaly, this agent runs a multi-step investigation the way an analyst would: it pulls the cost breakdown, reads the relevant Axiom logs, inspects the deploys and commits that landed in the window, and reasons across all three to decide the most probable root cause. It then writes a Linear ticket with its findings, attribution confidence, and a concrete remediation suggestion, assigned to the team that owns the service.
When to use it
Use it for ambiguous spikes where simple deploy-correlation isn't enough and you want a reasoned root-cause writeup rather than a raw alert. The agent decides which signals to chase rather than following a fixed script.
How it works
- 1An anomaly-detected event triggers the agent.
- 2The agent pulls the per-service cost breakdown for the spike window.
- 3It queries Axiom for logs, error rates, and traffic on the suspect services.
- 4It inspects GitHub commits and deploys that landed in the window.
- 5It reasons over the combined evidence to rank root-cause hypotheses.
- 6It files an assigned Linear ticket with attribution, confidence, and remediation.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, 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.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.