← All comparisons
PerUnit vs Helicone
AI observability and request tracing
Helicone is an observability platform for AI applications. It excels at request-level metrics: latency, errors, token usage per request, and prompt debugging. PerUnit is built for a different question: which customers and features are driving your AI spend, and are they profitable?
Helicone website →Feature comparison
| Capability | PerUnit | Helicone |
|---|---|---|
| Cost per customer | ||
| Cost by pricing tier (Free / Pro / Enterprise) | ||
| Cost by AI feature (chatbot, email writer, etc.) | ||
| Revenue vs. AI cost margin (Stripe integration) | ||
| Request latency and error tracking | ||
| Prompt debugging and trace inspection | ||
| Token usage per request | ||
| Direct AI provider API sync (no pipelines) | ||
| No data engineering team required |
SupportedPartialNot available
When Helicone is a better fit
- You're debugging slow or failing requests
- You need to inspect individual prompts and traces
- You want latency percentiles and error rates per model
- You're building or iterating on LLM chains
When PerUnit is a better fit
- You need to know which customers cost the most to serve
- You're deciding whether to gate AI features behind paid plans
- You want to connect AI spend to revenue (Stripe)
- You're evaluating unit economics and profitability
Need cost attribution, not just totals?
PerUnit breaks down your AI spend by customer, feature, and pricing tier — and connects it to revenue. $199 $99/mo early access.
Get early access to PerUnit