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Track token costs across major LLMs with optimization and savings insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nikhilnt" yet — see the docs or source repo.
Analyze this week's Claude, GPT, and Gemini usage logs. Summarize token usage, total cost, and average cost per request by model, then identify the most expensive endpoint and possible optimizations.
A cost breakdown by model, the biggest cost drivers, and actionable optimization recommendations.
Using the current logs, estimate how many tokens and how much monthly cost could be saved by shortening system prompts by 20% and removing redundant context, then provide optimization tips.
Estimated cost savings, projected token reduction, and specific prompt optimization guidance.
Create an LLM cost report for the team weekly meeting, including usage trends by model, abnormal growth periods, potential waste patterns, and recommendations to control next week's budget.
A presentation-ready cost analysis summary with trends, anomalies, and budget control recommendations.
Monitor Claude usage live, predict limits, and control costly AI coding actions.
Connect Gemini CLI with Claude Code for review, debugging, planning, and explanations.
Count tokens and estimate costs across many LLMs for planning and budgeting.
Optimize Claude Code token usage to cut costs and improve development efficiency.
Connect Gemini to Claude Code for search, code analysis, and multimodal understanding.
Use Gemini via MCP for research, code analysis, and content summarization.