Break down agent spend by model, person, and customer
Turn the agent traces you already collect into a clear breakdown of your AI spend, in your own warehouse.
Put this blueprint to work
Talk it through with the dltHub team and we will help you ship it to production.
Contact usBrowse all blueprintsYour coding agent
Claude Code, Cursor or Codex
the agentic layerdltHub AI harness
Agentic primitives to build, run and fix pipelines
dltHub context catalog
Lineage, schema, data quality, governance, run state
Claude Code
Codex
Cursor
the managed infrastructure layerIngest usage, adapt as formats change, and join it to your billing data.
Dashboards
Ready-to-run dashboards that break spend down by model, person, and customer, in your warehouse.
How it works
This Blueprint turns the agent traces you already collect into a clear breakdown of your AI spend, in your own warehouse.
Point it at your usage pipelines (Claude Code, Codex, and Cursor). dltHub ingests them, keeps working as the formats change, and joins the traces to the bill.
Ready-to-run dashboards then break spend down by model, by person, and by customer, so Finance can attribute it and Engineering can act on it. Because it runs on your warehouse, it can sit each customer's agent cost next to what that customer pays, so you see margin, not just cost.
Key features
- Ingests usage from Claude Code, Codex, and Cursor, and adapts as formats change
- Breaks spend down by model, person, and customer in ready-to-run dashboards
- Joins agent cost to your billing data for true cost-to-serve and margin
- Runs entirely in your own data warehouse, so no data leaves
How to get it
- The standard agent-spend dashboards are included in dltHub.
- Contact dltHub to get them.
Pricing
- Standard: $1,190/month.
- Custom: we build custom agent-observability dashboards together with our customers. Set up a 30-minute scoping call if you are interested.
Built by
- dltHub
Put this blueprint to work
Talk it through with the dltHub team and we will help you ship it to production.
Contact us