Lightning Rod

Lightning Rod is a specialized AI forecasting tool that gives you probabilities, not paragraphs. Instead of asking a chatbot to guess who will win an election and getting a vague answer, you ask Lightning Rod and get a number like "France: 27%" backed by research. It's built for people who need real forecasts — traders, analysts, risk managers — not just plausible-sounding text.

The tool works through an OpenAI-compatible API, so if you've built anything with GPT, you can swap in Lightning Rod with a few lines of code. You give it a question like "Will the Fed cut rates in March 2026?" and it returns a calibrated probability (e.g., 0.72) along with its reasoning. It can also auto-gather context from the web before answering. The company claims its models are cheaper than frontier LLMs — $6 per million output tokens versus $10–$25 for GPT-5 or Opus 4.6 — and more accurate on forecasting benchmarks.

Who is this for? Prediction market traders who want an edge, quant funds building signals from news, and risk teams monitoring geopolitical or supply-chain events. It's also useful for anyone running agentic workflows that need a "predict this" step. The interface is minimal — you either use the API or try a demo on their dashboard. No frills, just probabilities.