AI AGENTS
Datadog Bill Spike Attribution Agent
When a daily Datadog cost check detects a spend jump, an agent attributes the increase to the specific services and metric types driving it and posts a ranked breakdown to Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily cost-check schedule
- ActionPull Datadog usage and cost attributionDatadog
- LogicSpike exceeds threshold?
- ActionAgent ranks top service and product driversOpenAI
- OutputPost ranked breakdown to SlackSlack
What it does
Watches your Datadog usage spend day over day. When total cost rises beyond a set threshold, an agent pulls the usage attribution data, ranks which services and product lines (custom metrics, ingested logs, indexed spans, hosts) caused the jump, and posts a plain-English breakdown to Slack so the on-call owner knows exactly where the money went.
When to use it
Run it when your Datadog bill surprises you mid-month and nobody can say which team or service is responsible. Ideal for platform and FinOps teams who want an automatic first-pass diagnosis instead of digging through the usage dashboard by hand.
How it works
- 1A daily schedule fires the workflow each morning.
- 2The agent queries Datadog's usage and cost-attribution endpoints for yesterday and the prior 7-day baseline.
- 3A logic step checks whether the day-over-day increase exceeds the configured percentage threshold; if not, it exits quietly.
- 4On a spike, the agent computes per-service and per-product deltas and ranks the top contributors.
- 5It drafts a readable summary explaining the largest drivers and likely cause.
- 6The summary posts to a Slack channel with the ranked table and dollar deltas.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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 this workflow in your colony.
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