Engineering teams using multiple AI APIs lack visibility into their spending across providers. A simple dashboard could aggregate costs by project, team member, and model.
Build a web app that ingests API logs and shows spending trends, unexpected spikes, and cost-saving opportunities. Highlight which models or projects are driving most expenses.
Sell to engineering leads who need to control cloud AI costs. Offer alerts when spending exceeds thresholds.
Start with CSV uploads before building direct integrations. The biggest risk is that API providers might build this themselves.