You ship an AI feature. Meter shows what it costs for every customer, feature, and agent run, so you can see margin per account, catch a customer whose usage is torching your economics, and attribute AI COGS for usage-based billing.
Point your AI traffic through the proxy or report it with the SDK, tag each request, and Meter does the pricing and the roll-up.
Drop in the spendassay-proxy gateway (one base-URL swap) or the spendassay-meter SDK (report usage from the provider response, with no gateway in your hot path).
Attach the customer, feature, agent-run, and environment the call belongs to. That's the whole integration.
Every request is priced from cited vendor rates and rolls up per customer and feature. Add revenue to turn cost into margin.
The number you can't get from your vendor bill: what the AI in your product costs for each account you serve.
Which feature or agent loop is eating the model budget. Attribute every token to the thing that spent it.
Get told when an account spikes past its trailing average, before it shows up as a margin surprise.
Add revenue per customer and cost becomes gross margin, with margin-negative accounts flagged.
Flat, volume-based, with a free tier to start. We meter the traffic; we never take a cut of your inference.
Enough to wire it in and see cost per customer on real traffic.
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Talk to salesOverage is soft, about $60 per additional 1M metered requests on Free and Build, and about $25 on Operate, never a hard cutoff that blinds you.
Bring your own provider keys. Meter reads token counts and your tags, never prompt or completion bodies.
Meter sits in the observability half of the request path. It reads token counts and your tags and discards request and response bodies. It never stores your prompts or completions, and it never routes or throttles your traffic. The proxy is open source, so you can read every line before you run it. See the full security posture.
Wire in the proxy or the SDK, tag your traffic, and watch cost roll up by account. Start free — no credit card.