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AI calls, agents, and APIs in your app runtime — tokens, retries, and tool fanout, not just HTTP.
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AI usage metering UsageFlow
Meter AI calls in your runtime and enforce spend before execution — so overages never leave your app.
Free for 10K calls/month · JavaScript, Python & Go
One runtime path. Usage becomes a decision before the provider bills you — not a dashboard after the fact.
AI calls, agents, and APIs in your app runtime — tokens, retries, and tool fanout, not just HTTP.
Ledger policies decide allow or block before execution. Overages stop in your runtime — not in next month’s invoice.
One platform for AI agents, model calls, and traditional endpoints — function-level where cost matters.
Gateways see HTTP. UsageFlow meters function paths — then enforces before the provider call runs.
Install the agent; meter and block in runtime. Skip building a custom metering stack. Pairs with the AI agent meter platform when agents drive spend.
Enforceable spend caps tied to live traffic — not after-the-fact cost dashboards.
Know what runs, what gets blocked, and what can sync to Stripe when you’re ready to charge.
Straight answers for the category questions.
An AI meter tracks AI usage — tokens, calls, and infrastructure — in your app runtime so you can enforce spend before costly work runs and bill accurately when you’re ready.
Install a UsageFlow agent in your runtime. It meters AI calls and APIs, applies Ledger policies, and blocks overages before execution. Optionally, configure a Stripe API key so UsageFlow can fire meter events to your Stripe meters.
No. UsageFlow meters AI agents, model calls, and traditional API endpoints in one platform — function-level where cost matters, API-level everywhere else.
Free for 10K calls/month · JavaScript, Python & Go