AI API Bill Attributor

Show teams paying for AI features exactly where their monthly API bill goes and who drives it.

Problem

A Reddit thread notes AI API bills are split across OpenAI, Anthropic, and Google so nobody sees the total, and simple jobs like tagging, extraction, and short summaries run on the most expensive models. Teams only know the bill is high, not what drives it. For indie SaaS teams this directly hits margins but there is no attribution tool.

Solution

Collect call metadata through a lightweight SDK or proxy, capturing provider, model, feature tag, and user/tenant. Automatically produce cost reports broken down by feature, customer, and model, and flag frequent calls that could use a cheaper model. No provider switching required—just side-channel observation and attribution.

Users

Indie developers and small teams that embed AI features in SaaS products and pay OpenAI, Anthropic, or Google monthly.

MVP

Ship a lightweight SDK and proxy endpoint to report call metadata; a dashboard that breaks down bills by feature and model; budget alerts; support OpenAI and Anthropic first, with no auto-routing.

Revenue

Tiered subscription based on reported call volume, with a free tier of 10k calls/month; or sell attribution reports as a paid feature at $19–49 per month.

Why now

AI features have moved from experiments to mainstream, yet cost governance tools remain enterprise-focused with little lightweight attribution for small teams. Starting at the observation layer avoids head-on competition with routers and gateways.