Cost Tracking

Attribute every token, API call, and compute cycle to the agent that spent it.

Prefactor's cost tracking gives you per-agent, per-team, and per-task visibility into AI spend. Set budgets, detect anomalies, and enforce spending limits at runtime — so costs never surprise you.

How cost attribution works

TODO: Explain how Prefactor tags every model call, tool invocation, and compute operation with the agent, team, task, and user that initiated it. Show cost dashboards with drill-down from organisation to team to agent to task.

Budget enforcement at runtime

TODO: Describe how cost limits are expressed as policies and enforced at runtime — throttling or blocking agents that exceed their budget. Show how teams can set daily, weekly, and monthly limits.

Anomaly detection and alerting

TODO: Show how Prefactor detects unusual spending patterns — cost spikes from infinite loops, unexpected model upgrades, or misconfigured agents — and alerts the right team before the bill arrives.

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See It In Action

A single control plane for every agent across every framework. From mission control to audit trails.

Agent Runtime Control Plane
Unified control center for agents, authentication, and risk management
All Systems Operational
3Global Agents
7Instances
5Services
12%Human Intervene
4High Risk
$2,360Monthly Spend
Mission ControlLive agent health with 7-day activity heartbeat
Claims Proc...68
$330/moRed
Claims Proc...65
$160/moRed
Claims Proc...82
$170/moAmber
ChatGPT74
$150/moAmber