Monitors and visualizes token savings achieved through search-first exploration in large codebases.
The Token Economics Dashboard provides transparency into Claude's token consumption by comparing semantic search-based exploration against traditional blind file reading. By analyzing session activity, indexing metadata, and historical memory, it generates a detailed report that highlights efficiency gains and cost savings. This tool is essential for developers working on massive projects who want to optimize their AI credit usage and validate the performance impact of semantic indexing versus manual exploration.
主な機能
01Comparative analytics between blind exploration and search-first workflows
02Pro-tips for maximizing context window efficiency and reducing costs
03Real-time session activity tracking for file reads, edits, and searches
047 GitHub stars
05Automatic codebase size analysis and token estimation for various languages
06Historical memory integration to track cumulative token savings over time
ユースケース
01Auditing AI usage costs and efficiency across large-scale software projects
02Verifying the performance impact of semantic search over manual file browsing
03Monitoring long-term context window optimization during complex refactoring tasks
