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

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

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 🛠️.

Free AI API cost calculator SDK for TypeScript and Python with verified, continuously updated model pricing.

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

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

Token Price Estimation for LLMs

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

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

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