Token Usage Analyzer for AI Agents

Developers and businesses using AI agents like Claude Code face challenges in tracking and understanding their token usage. Current tools provide high-level metrics but lack granular details on which tasks are consuming the most tokens, making it difficult for users to optimize costs and improve efficiency. This gap creates an opportunity for a specialized application that focuses on analyzing token consumption at the task level, allowing users to identify areas where they can cut costs or improve performance. The target customer base includes freelancers, small businesses, and larger enterprises that rely heavily on AI for various applications but are unsure about their spending patterns. With recent advancements in AI and growing reliance on these tools, the need for better financial oversight has become critical. A subscription-based model could be employed, charging users for access to the tool with different tiers based on usage and additional features like reporting and alerts for unusual spending patterns. This solution is actionable with a limited budget and could be developed using existing APIs and frameworks.