See which users cost more than they pay.
They're not bad customers. They just use your product differently. Without CostCanary, you'd never know user_042 costs you $12 more than they pay — every single month.
One SDK.
Full AI cost visibility.
Wrap one function around your existing OpenAI, Anthropic, or Gemini call. CostCanary tracks tokens, calculates cost per user, and sends it to your dashboard — zero config, sub-millisecond overhead.
Every Monday.
In your inbox.
Not a dashboard you'll forget to check. A weekly briefing engineered to make you act.
AI cost monitoring features built for SaaS
Track, alert, benchmark, and optimize — from one lightweight SDK.
Per-user cost tracking
Every LLM call is tagged to a real user ID. See exactly who's burning your margins — not just aggregate numbers.
VS Code integration
The canary lives in your editor. Inline cost annotations on every AI call as you write code. Zero config.
Weekly profit digest
Monday morning email: 3 unprofitable users, top cost driver, and one concrete action to take. That's it.
Profitability alerts
Set a threshold like "alert me when a user's cost exceeds 80% of their revenue" — not just raw spend.
Feature-level breakdown
Is it your chat feature or your summarizer bleeding money? Drill down to per-feature cost-vs-revenue.
Industry benchmarks
See how your cost-per-call compares to anonymous aggregate data from similar AI SaaS products.
Documentation
Install the SDK, wrap your LLM calls, and see per-user AI costs in under 2 minutes.
gpt-4o, gpt-4o-mini, claude-3-5-sonnet, claude-3-haiku, gemini-1.5-pro, gemini-1.5-flash
Async batched telemetry. No added latency to your LLM calls. Under 1ms instrumentation.
Custom endpoint for self-hosted, configurable batch size, and automatic retry with backoff.