AI AGENTS
Observability Cost Allocation Report
Monthly, an agent pulls Datadog and Honeycomb usage, allocates spend to teams and services by tags, writes the breakdown to Snowflake, and posts a chargeback summary to Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly allocation schedule
- ActionPull Datadog and Honeycomb usageDatadog
- LogicMap and reconcile spend to teams
- ActionAgent normalizes allocation tableOpenAI
- ActionWrite allocation rows to SnowflakeSnowflake
- OutputPost chargeback summary to SlackSlack
What it does
Builds a monthly observability chargeback report. The agent gathers usage and cost from both Datadog and Honeycomb, maps each slice of spend to a team or service using your tagging scheme, lands the structured allocation in Snowflake for finance to query, and posts a top-line summary of who spent what to Slack.
When to use it
Use it when observability is a shared cost center and engineering leadership wants per-team accountability. Ideal for FinOps and platform teams running monthly cost reviews who need an auditable, queryable record rather than a one-off screenshot.
How it works
- 1A monthly schedule starts the allocation run.
- 2The agent pulls per-service usage and cost from Datadog and event-volume cost from Honeycomb.
- 3A logic step maps untagged or ambiguous spend to an unallocated bucket and reconciles totals.
- 4The agent normalizes both sources into a single team-and-service allocation table.
- 5It writes the allocation rows to Snowflake for finance reporting.
- 6A chargeback summary with the biggest spenders posts to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect HoneycombDistributed traces and queries.
- 3Connect SnowflakeWarehouses, queries, shares.
- 4Connect OpenAIModels, embeddings, files.
- 5Connect SlackChannels, DMs, threads, mentions.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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