Know where every token goes.
Understand agent consumption and infrastructure cost across the organization.
Turn AI consumption into accountability.
Track usage the way your organization actually operates: by agent, team, model and environment. An agent that costs more than the work it replaces shows up early, not at month-end close.
Cost is not estimated afterwards: real tokens times the model price, per run and per package, written to a ledger that survives restarts. Spending caps per workspace, per agent and per actor.
Break down cost the way your business is structured.
The same run seen along the axis that matters to whoever is asking. Six axes over the same record, and a cap that applies before the call.
Understand the economics of every workload.
Compare consumption across teams.
Build organizational accountability.
By model
Understand each model's consumption.
By workflow
Spot expensive execution patterns.
By environment
Separate the economics of development, testing and production.
Cap
The budget is enforced at run time, before the call: over the cap, the call does not go out. The per-tenant kill switch cancels what is in flight.
Cost and value in the same record.
The step that writes the cost also writes the run's business value, so return stops being a side spreadsheet.