CostXray: find the money leaks in your AI and SaaS stack

Shows small teams where AI and SaaS spend is silently leaking

Problem

Tech spending is scattered across AWS, Azure, Microsoft 365, SaaS subscriptions, and AI APIs like OpenAI and Anthropic, each with its own dashboard and billing format. No one owns the whole picture, so waste stays invisible. One team auditing variable costs found that webhook retry storms and "ghost MAUs" were eating roughly 20% of monthly margins, but only after the fact. Elsewhere, a developer couldn't tell the tiers of AI coding plans apart and kept running out of tokens at the Plus level.

Solution

A lightweight cost aggregation and diagnostic tool: users connect read-only API keys or import billing CSVs from major providers, everything lands on one dashboard, and a rules engine flags anomalous patterns such as retry storms, idle seats, usage spikes, and oversold subscriptions. A weekly health report highlights what to cancel or downgrade, with estimated savings and plan-switch suggestions.

Users

Startups with 10-50 people, indie developers, fractional CTOs and tech leads heavily using AI APIs and multiple SaaS subscriptions

MVP

Read-only integrations with 5-8 major providers (AWS Cost Explorer, Stripe, OpenAI/Anthropic usage, GitHub, etc.); automatic anomaly flagging with savings estimates; weekly email report; downgrade suggestion list; recommendations only, no auto-shutdown

Revenue

Monthly subscription tiered by number of connected services (e.g. $19/mo for 3, $49/mo for 10); free tier limited to a one-time scan

Why now

AI API and SaaS billing is getting more fragmented and expensive; cloud FinOps tools are built for single-cloud enterprises, leaving cross-vendor small teams unserved. Rules plus a few APIs is a solo-buildable MVP.