Cost visibility for Claude API usage

AIThis description was written by a model from public signals. The facts behind it are listed under Evidence.

Problem

Developers using Claude Code cannot easily see where their token spending goes, making it difficult to understand which tasks consume the most resources and optimize API costs.

Solution concept

A tool that provides granular cost visibility into LLM API usage by breaking down spending by task type, showing which specific activities or tool categories consume the most tokens, enabling developers to identify optimization opportunities and understand their spend patterns.

Who has it

Software developers and teams using Claude Code for development work, particularly those with significant weekly API spend.

How they handle it today

They currently receive only basic cost breakdowns per model and per day from existing tools like ccusage, which does not help them understand token consumption at the task or activity level.

Why now

Claude Code and similar AI tools are now widely used in development workflows, with developers discovering unexpectedly high API bills and seeking tools to understand and control their spending.

How it could charge

Freemium model with a free version offering basic task-level breakdowns and a paid tier for advanced analytics, historical trend analysis, team usage reports, and cost forecasting.