Your AI costs are
killing your margins.
Your OpenAI bill tells you nothing about which users cost more than they pay. This does.
No credit card · Free tier forever · Setup in 2 min
One SDK.
Full AI cost visibility.
Two lines in your app. Every outbound LLM call is intercepted. Everything else stays the same.
AI cost monitoring features built for SaaS
One SDK wraps your existing LLM calls. No proxies, no infra changes.
Per-user cost tracking
Every LLM call is tagged to a real user ID so you see exactly who's burning your margins, not just aggregate numbers nobody acts on.
Profitability alerts
"Notify me when a user burns 80% of their subscription revenue." That kind of alert.
Feature-level breakdown
Your chat feature costs 6× more than translate. You wouldn't know that from an OpenAI invoice. CostCanary breaks it down by feature so you can actually do something about it.
Weekly profit digest
Monday morning. One email. Your 3 most unprofitable users, your top cost driver, one thing to fix. Done.
Industry benchmarks
Are you overpaying per call or is everyone paying that much? Anonymous aggregate data from real AI SaaS products, updated weekly.
VS Code integration
Inline cost annotations right in your editor, on every AI call, as you write code.
What developers are saying
“We had no idea our /summarize endpoint was 8× more expensive per user than /chat. Found it in the first hour.”
“Literally two lines. Wrapped our OpenAI client, deployed, and had per-user costs in Slack by lunch.”
“The Monday email told me to switch one feature from GPT-4o to Claude Haiku. Saved us $200/mo, took 10 minutes.”
Simple AI cost monitoring. Transparent pricing.
Every Monday.
In your inbox.
Not a dashboard you'll forget to check. A weekly briefing engineered to make you act.
Before you integrate