LLMCostBreakdown: API Spend Per Feature
Automatically traces which features in your app are consuming the most LLM tokens and spending, breaking costs down by user action and endpoint.
The Problem
SaaS founders using Claude/GPT APIs have no visibility into which features are actually expensive. They see total monthly bills but don't know if their chat feature costs $2k or their search feature does. This makes it impossible to optimize or price features correctly.
Target Audience
Indie SaaS founders and small teams (1-10 engineers) who have built 2-5 features using Claude/GPT APIs and want cost control without engineering overhead.
Why Now?
LLM API costs are becoming the dominant expense for AI apps (often 40-70% of COGS), yet tooling hasn't caught up; founders are manually digging through dashboards and getting burned.
What's Missing
Existing observability tools (Langfuse, Helicone) focus on latency and error rates, not cost accountability; existing cost tools (cloud dashboards) don't understand app semantics or feature mapping.
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