TokenWatch

Software de controle de tempo e produtividade

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TokenWatch is a real-time cost monitoring tool designed to track and visualize expenses associated with machine learning models, particularly those that process tokens during interactions. It offers key features such as live expenditure dashboards per session, project, and day, instant cost updates with ultra-fast refresh rates, budget alert notifications, and detailed session analytics including token counts and model usage, all while maintaining complete privacy by operating locally without requiring APIs or external data transfer. This solution addresses the problem of untransparent and unpredictable token-based costs in AI workflows, making it ideal for developers, data scientists, and AI practitioners who need precise, instantaneous insight into their computational expenses to optimize efficiency and prevent cost overruns.

TokenWatch pode ser encontrado em Time Tracking & Productivity Software categorias.

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Detalhes

Principais características do TokenWatch

• Budget alerts
  It sends you a notification when your daily spending reaches 80% and 100%.
• Free to start
  You can try it for free and upgrade if you want more features.
• Easy to install
  You can install TokenWatch in 30 seconds with just one command.
• Project overview
  You can see which projects use the most tokens with a live doughnut chart.
• Local data access
  All data stays on your machine, with no need for a proxy or API key.
• Auto-start feature
  You can set it to start automatically when you turn on your computer.
• Live pricing updates
  Prices are updated automatically, so you don't need to change any settings when rates change.
• Simple setup process
  Start using it by installing, opening your browser, and working normally.
• Per-session breakdown
  You can click on any session to see how much each message and token cost.
• Real-time cost tracking
  TokenWatch shows your current spending live while you work with Claude Code.

Emblemas

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Cópia do crachá

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Tecnologias Utilizadas

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