Request-level margin intelligence for AI products.
Know the margin behindevery AI request
Connect every AI request to revenue context, detect margin leaks, and prevent costly usage before it scales.
Kagu product preview
Integrations
Connect your revenue stack.
Use Stripe, RevenueCat, Paddle, Adapty, or custom webhooks to attach revenue context to every AI request.
Workflow
Turn request context into margin controls.
Attach revenue context to every AI request, then apply budgets, routing, and reporting where usage already happens.
Subscriber context
Attach every request to customer, plan, feature, and workload context.
Budget policy
Apply plan-aware caps before model spend gets out of range.
Model routing
Route requests to the right model for cost, quality, and latency.
Free trial guardrails
Keep trials on efficient defaults until premium access is unlocked.
Tenant reporting
Show AI spend and margin by plan, customer, feature, and subscription package.
Spend reviews
Catch usage spikes, margin drift, and costly workflows before billing surprises.
Reality
Things you won't hearanymore
Finance / Legal AI
Which accounts are costing more than they pay?
Engineering / AI Meeting Notes
Why did summarization costs spike overnight?
Growth / Language App
Are free trials using premium voices?
RevOps / EdTech App
Why don't usage exports match Stripe?
Platform / Developer Tool
Do we need a cheaper fallback for retries?
Product / Research Assistant
Should deep research be included in Pro?
Questions
Frequently asked questions.
The five topics teams ask most often before rolling out subscriber-level AI cost controls.
Subscription apps get subscriber-level visibility into AI spend, make usage plan-aware, and manage model access without rebuilding their existing SDK workflow.