AgentCost attributes inference and API cost by agent, feature, and user — turning month-end billing surprise into predictable, auditable spend.
No real charge in test mode. We'll email you the moment AgentCost goes live.
LLM inference cost scales with every agent run. A quiet spike becomes a four-figure bill before anyone notices.
You can't attribute spend to a specific agent or feature — so you can't justify the budget or kill what doesn't pay off.
Gartner predicts >40% of agentic projects are cancelled by 2027 — the #1 reason is cost overrun and unclear ROI.
Galileo found identical-accuracy agent runs can differ 50× in cost. Without attribution, you're paying the expensive way blind.
Every token spent is mapped to the agent, the feature, and the end user who triggered it.
Set per-agent spend caps. Get alerted before a runaway loop drains the budget.
See which agents earn their keep — and which to optimize or retire — before the renewal meeting.