What an AI agent meter platform is
UsageFlow is AI runtime billing infrastructure: an AI agent meter platform meters agent usage in your app runtime, enforces spend limits before execution, and can sync usage to Stripe. See AI agent meter platform and AI usage metering.
Why agent spend breaks gateway-only metering
API gateways sit on the edge. AI agents do expensive work after the request is already accepted:
- Tool fanout — one user request triggers many model and tool calls.
- Retries and loops — failure paths multiply tokens without a new inbound HTTP hit.
- No pre-execution stop — you observe the bill after the provider already charged you.
Platform engineers refuse to own a custom metering stack. Founders need enforceable limits and clean reporting into Stripe. Runtime metering is built for both.
How UsageFlow meters agents
- Install a framework agent in your API runtime
- Configure monitoringPaths and policies in Console
- Meter tokens and calls as traffic runs; enforce before overages execute
- Optionally add a Stripe API key in Integrations to fire meter events
Start with meter your first request and the Stripe sync guide.
Meter · enforce · bill
- Meter — capture agent and API usage in runtime
- Enforce — block costly work when policy says stop
- Bill — ship billing-ready events to Stripe Meters
FAQ
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 billing providers like Stripe — not only observe HTTP at a gateway.
Does UsageFlow replace Stripe?
No. Stripe remains the system of record for invoices and charges. UsageFlow meters in runtime and reports meter events when you configure a Stripe API key.
Where do I start?
Install a framework agent, set USAGEFLOW_API_KEY, configure monitoringPaths, and verify a Trace — then enforce and sync.