Token Usage Analyzer
by AaaS · open-source · Last verified 2026-03-01
Analyzes token usage patterns across LLM applications to identify optimization opportunities. Tracks input/output token ratios, identifies verbose prompts, detects unnecessary context, and recommends prompt engineering improvements for cost reduction.
https://aaas.blog/script/token-usage-analyzer ↗C
C—Below Average
Adoption: C+Quality: B+Freshness: B+Citations: CEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- token-tracking, ratio-analysis, verbosity-detection, optimization-recommendations, cost-projection
- Integrations
- @anthropic-ai/sdk, openai, tiktoken-node, zod
- Use Cases
- cost-optimization, prompt-efficiency, usage-reporting, budget-forecasting
- API Available
- No
- Language
- typescript
- Dependencies
- @anthropic-ai/sdk, openai, tiktoken-node, zod, chalk
- Environment
- Node.js 20+
- Est. Runtime
- 1-5 minutes
- Tags
- script, automation, tokens, usage, cost-analysis
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
47.8Adoption
54
Quality
76
Freshness
78
Citations
44
Engagement
0