Cost attribution maps spend to the team, feature, user, model, or provider responsible for it. Without attribution an AI bill is a single opaque number; with properties and analytics you can see which workload drives cost and where to optimize first.

Why it matters

Without attribution an AI bill is one opaque number. Attribution shows which team, feature, or user caused the cost, which is the prerequisite for reducing it.

How it works

Properties and token or key metadata map each request to an owner. Aggregated over time, that becomes per-team and per-feature spend you can compare and budget against.

Example

See that a single background job accounts for 60% of spend, then optimize or cap that job first.

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