Prediction markets are quietly becoming one of the most useful signals we have. Their prices compress many views into forecasts that can be tested against real outcomes. But the public data needed to study those forecasts is scattered, inconsistent, and hard to reproduce.
We started Mostly Right because we kept hitting the same wall. We wanted to study how these markets form prices, where they're wrong, where they're early, and every time we started, we were rebuilding the same plumbing from scratch. Pulling weather observations that three public feeds disagree on. Interpreting contract rules by hand. Discovering, days later, that a backtest didn't reproduce live because a number had been quietly rewritten upstream.
So we built a Python and TypeScript SDK that fetches public data on demand, records the source on every row, and includes availability timestamps so callers can filter by what was known. It is not another exchange. It gives researchers, model pipelines, and AI agents the data behind market outcomes.
We chose to focus on outcomes you can verify: weather, prediction markets, economic indicators, and financial events. Things grounded in real data, not opinion. The builders who show up now are deciding what prediction markets become, and we'd rather they become trusted infrastructure than a punchline. Read our full mission →
