# Six ways to attribute AI agent costs — and where each one quietly breaks > Source: > Published: 2026-07-17 00:01:02+00:00 Member-only story # Six ways to attribute AI agent costs — and where each one quietly breaks A recent [r/FinOps thread](https://www.reddit.com/r/FinOps/comments/1uw5nh5/i_compared_6_approaches_to_ai_agent_cost/) laid out six approaches teams are using to attribute the cost of AI agents. It’s a good list — the sharpest single inventory of the problem I’ve seen in one place. But reading it against a few years of building cost attribution at fleet scale, what jumped out wasn’t the list itself. It was that these six aren’t six competing answers to one question. They’re answers to *three different* questions, and almost every team I’ve watched struggle here was quietly using a tool built for one of them to answer another. So before the six, the three. Every “what did our agents cost?” conversation is really three conversations: **Attribution**— whose spend was this? Which agent, team, run?** Enforcement**— how do we stop a run*before*it burns the budget, not after the invoice lands?**ROI**— was the money the agent spent worth what it produced? Keep those three in view and the six approaches sort themselves. Here’s each one, what it’s actually for, and the specific place it falls over. ## 1. A separate API key per agent Give every agent its own provider key and read spend off the statement — one card per agent, clean rollup in the dashboard. At three…