AI agent metering UsageFlow

The AI agent meter platform for runtime billing

Meter agents in-process, enforce spend before costly work runs, and optionally sync usage to Stripe with your API key — without building metering yourself.

Free for 10K calls/month · JavaScript, Python & Go

Meter → enforce → bill

Agents retry, fan out tools, and hide cost in function paths. UsageFlow meters those paths, then holds the switch before the provider call.

01 · Meter

See the agent path

Token-level and call-level usage across Express, Fastify, NestJS, FastAPI, Flask, and Gin agents.

meter ai_tokens=5247
tool=search · retry=2 · path=/agent/run
02 · Enforce

Block before spend

Ledger policies decide allow or block before execution. Overages stop in runtime — not in next month’s invoice.

ENFORCE blocked (478)
reason=agent_spend_cap · $100.00
03 · Trace

Console visibility

Every metered path surfaces in Console traces so FinOps and engineers share one source of truth.

trace agent_run_9f2a
status=denied · policy=agent_spend_cap

Built for agent-heavy products

Gateways see HTTP. UsageFlow meters the agent loop — then enforces before costly work runs.

FAQ

Straight answers for the category questions.

What is an AI agent meter platform?

A platform that meters AI agents in-process, applies policy before costly work runs, and can report usage to Stripe with a configured API key.

How does UsageFlow meter AI agents?

Runtime agents capture usage, enforce Ledger policy before execution, and surface traces in the Console.

Can I bill AI agents through Stripe?

Yes — configure a Stripe API key in UsageFlow so we can fire meter events to your Stripe meters without a custom metering stack.

Meter agents. Block overages before they run.

Free for 10K calls/month · JavaScript, Python & Go