Token-Oriented Object Notation for Go – JSON for LLMs at half the token cost

Local dashboard for visualizing usage across seven AI coding agents - sessions, token costs, cache performance, tool calls, and daily breakdowns

Build a private evaluation dataset to optimize your organization's token costs.

OpenLLM Monitor 📊 is a plug-and-play, real-time observability dashboard 🔍 for monitoring and debugging LLM API calls across OpenAI 🤖, Ollama 🦙, OpenRouter 🌐, and more. It tracks tokens 🧮, latency ⏱️, cost 💸, retries 🔁, and lets you replay prompts 🔄. Fully open-source 🌍 and self-hostable 🛠️.

An MCP (Model Context Protocol) server that provides real-time LLM token pricing data for 60+ AI models across 15 providers.

The Hidden Token Tax: Quantifying the True Cost of AI Browser Automation — empirical benchmark of @playwright/cli vs @playwright/mcp vs CDP

阿里云百炼大模型 Token 账单解析工具 | Alibaba Cloud Bailian LLM Token Billing Parser - Parse, analyze and summarize daily AI model token costs

Compare LLM API pricing from your terminal. Supports 300+ models across all major providers. https://x.com/saqibameen

Generate a local dashboard from Codex CLI / Claude Code / Cursor agent logs

Time estimation MCP server for AI agents: PERT, COCOMO II, Monte Carlo, sprint forecasting, token-to-time mapping, cost estimation, and schedule risk tools.

An Investigation Across Two MCP Servers, Two Frontier Models, and 20 Controlled Benchmark Runs

Token cost comparison: why higher-level languages win for LLM-assisted coding

Cognitive timeline — AEF evidence consumer and memory distillation

Analyze the token cost of MCP server tool definitions. Find out how much context your MCP servers consume per LLM call.

Token Price Estimation for LLMs

Benchmark harness: CLI vs MCP (eager/deferred) vs Code Mode. 5 tasks × 4 configs × 10 runs = 200 data points. Token counts from Anthropic API usage object.

Measure the token costs of AI browser automation to reveal hidden inefficiencies and optimize interactions for better performance and resource use.

跨平台 AI 编程工具 Token 用量与费用可视化仪表盘 — 支持 OpenCode / Codex 双源统计，实时余额监控，离线运行；📊 Token usage & cost dashboard for AI coding tools — OpenCode & Codex dual-source analytics, real-time balance monitoring, fully offline

Zero-dependency Python CLI + MCP server for comparing LLM API costs across 144 models and 22 providers (OpenAI, Anthropic, Google, Mistral, xAI, DeepSeek, Groq...)