Observe · Platform

Cost Tracking

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

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

Cost tracking Illustrative
$4,218
THIS MONTH
312K
TOKENS / DAY
$0.014
AVG / RUN
2
BUDGET ALERTS
support-agent 62%
research-agent 41%
billing-recon 19%
TL;DR

Every model call and tool invocation is tagged with the agent, team, and task that spent it, in real time — so a cost spike traces back to the run that caused it instead of showing up as a line on next month's invoice.

How cost attribution works

Every model call, tool invocation, and compute operation is tagged with the agent, team, task, and user that initiated it — the same registry identity used everywhere else in Prefactor. A simple question might cost 500 tokens; the same agent handling a multi-step research task might run 50,000 tokens across several model calls and three tool invocations. Attribution captures that variability at the task level, in real time, instead of averaging it away in a monthly rollup.

Cost dashboards drill down from organisation to team to agent to task, so a spend spike can be traced back to the specific run that caused it rather than showing up only as a line on next month's invoice.

Budget enforcement at runtime

Cost limits are expressed the same way as any other Prefactor policy — declaratively, and enforced at the point an agent tries to act. Teams set daily, weekly, or monthly budgets per agent or per team; when an agent approaches its limit, Prefactor can throttle it or block further calls outright, rather than letting spend run past the limit before anyone notices.

Because enforcement happens at runtime, a budget breach is stopped mid-task instead of being caught in a billing review days later.

Anomaly detection and alerting

Cost tracking also watches for spending patterns that don't fit an agent's normal profile — a loop that keeps calling the same tool, a model upgrade that quietly changed the per-call price, or a misconfigured agent burning through its budget in an hour instead of a month. Anomalies route to Slack, PagerDuty, or the alert channel your team already watches, so the right people find out while the spend is still small enough to matter.

Frequently asked questions

How does Prefactor attribute cost to an agent?
Every model call, tool invocation, and compute operation is tagged with the agent, team, task, and user that initiated it — the same registry identity used everywhere else in Prefactor — so spend rolls up from task to agent to team in real time.
Can I set spending budgets per team?
Yes. Budgets are set daily, weekly, or monthly per agent or per team, and enforced the same way as any other Prefactor policy — at the point an agent tries to act.
What happens when an agent hits its budget?
Prefactor can throttle it or block further calls outright, stopping the spend mid-task rather than catching it in a billing review days later.

Related glossary terms

Drop this into what you already run

TypeScript and Python SDKs, plus OpenTelemetry ingest — native for LangChain, Claude, Vercel AI, OpenClaw and LiveKit, with 15 framework integrations covered out of the box.

terminal
$ prefactor init

See it on your own agents

Book a demo and we'll walk through cost tracking on a fleet like yours — real frameworks, real traces.

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