Dev.to
6/24/2026

I built a tool that cuts Anthropic API costs by 67% and it finds the waste before you spend
Short summary
A developer built a tool that reduces Anthropic API costs by 67% through static code analysis, semantic compression, and usage tracking. It scans Python code without an API key to identify waste patterns like uncached prompts and API calls in loops, then summarizes less relevant messages to preserve context while cutting tokens. Real benchmarks show $200-400/month savings for typical workloads using Claude Sonnet 4.6.
- •Scans Python code to find Anthropic API waste patterns without needing an API key
- •Semantic compression reduces tokens by 67% while preserving relevant context
- •Real benchmarks show $200-400/month savings at 1,000 requests/day on Sonnet 4.6
Generated with AI, which can make mistakes.
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