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

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 — 19 structured tools for PERT, COCOMO II, Monte Carlo simulation, sprint forecasting, token-to-time mapping, cost estimation, schedule risk analysis, and model comparison. Self-improving engine with community data pipeline. Built for LLMs and AI agents. MCP + CLI + REST API.

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

Estimate LLM token usage and API cost from local text files

Token Price Estimation for LLMs

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

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

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

Analyze local AI coding agent logs into an offline analytics dashboard for usage, cost, and model insights