OTHER
Datadog monthly cost report to Notion
At month end, aggregates the full month of Datadog spend by team and product, drafts a written summary with notable changes, and publishes a formatted report page in Notion.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly schedule after month close
- ActionPull current and prior month spend by teamDatadog
- LogicBuild comparison table and rank movers
- ActionDraft narrative summaryOpenAI
- OutputPublish formatted Notion report pageNotion
What it does
This workflow produces the monthly observability cost review automatically. It aggregates the closed month's Datadog spend by team and product, computes month-over-month change, has the agent write a plain-English narrative (biggest movers, what drove them, where to trim), and publishes the whole thing as a clean Notion page the org can read.
When to use it
Use it for the recurring FinOps monthly review when you want a shareable, narrative report — not just numbers — landing in Notion without anyone hand-assembling slides. Good for leadership and cross-team budget conversations.
How it works
- 1A monthly schedule fires on the first business day after the month closes.
- 2The Datadog action pulls the full month's usage and cost by team and product, plus the prior month for comparison.
- 3A logic step builds the comparison table and ranks the largest increases and decreases.
- 4An OpenAI action drafts the narrative explaining the movers and suggesting cost actions.
- 5The output step creates a formatted Notion page with the table, narrative, and per-team sections under the FinOps space.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 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.

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