Citadel Predict forecasts AI agent token usage and cost before the agent runs — not after, like existing tools (Langfuse, Helicone, LangSmith). It analyzes your task and tool list, then uses a calibrated ML model to give you an expected token range, confidence level, and out-of-distribution risk flag — now converted into an estimated USD cost too. Ships as a pip package + CLI, an MCP server for Claude Desktop/Code, and a hosted API. Tested on Linux, Windows, and macOS.
Hey PH! I built Citadel Predict because every agent cost tool I found was reactive — you only find out what an agent run cost after it's already run. I wanted something that could tell me beforehand.
It's a solo side project — calibrated on Claude Sonnet for now, with multi-model support coming next. Would love your feedback, bug reports, or "this already exists, here's better" — all welcome!