
Numinous lets users ask future-event questions and receive AI-generated probability estimates, then compare those estimates with live prediction-market prices.
Numinous has two product layers. The first is Eversight, a web interface for AI-powered prediction-market analysis. The second is a developer-facing Forecasts API that accepts future-event questions and returns probability estimates asynchronously. Underneath, the repo shows a forecasting-agent competition and scoring layer. The real target user is a trader, analyst, researcher, or developer who wants machine-generated probabilities for future events, especially around prediction markets. A second user is the technical contributor building forecasting agents. What is usable today: app, dashboard, API docs, live endpoints, and repo. What is incomplete: onboarding consistency, verified accuracy claims, pricing clarity, and broad commercial proof. Verified user count, customer count, revenue, and profit: No reliable public source found. Repo activity, public dashboards, and third-party competition listings are weak proxies only.
The real target user is a trader, analyst, researcher, or developer who wants machine-generated probabilities for future events, especially around prediction markets. A second user is the technical contributor building forecasting agents.
What is usable today: app, dashboard, API docs, live endpoints, and repo. What is incomplete: onboarding consistency, verified accuracy claims, pricing clarity, and broad commercial proof.
Closest alternatives: Metaculus, Good Judgment Open, Polymarket, and Kalshi. Numinous sits between AI forecasting and market-signal analysis.
Numinous is a live early product for AI-generated event probabilities. It is useful for developers and prediction-market analysts, but still lacks independently verified accuracy, public customer proof, and fully clear onboarding.