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FutureSearch

AI & agents

AI forecasting with a public track record.

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What it does

FutureSearch is an AI forecasting product that helps you answer forward-looking questions with probabilistic, numeric, date, categorical, conditional, and decision forecasts. It’s built for teams and individuals who need defensible predictions—whether you’re evaluating market outcomes, company performance, policy/geopolitical scenarios, or internal business decisions—and want a forecasting workflow supported by research and repeatable methods.

You start by entering a question and selecting the forecast type (e.g., a probability like “Will 2026 be the hottest year on record?”, a numeric estimate like “What will Anthropic’s ARR be at year end?”, a date like “When will OpenAI IPO?”, or a conditional/decision question tying outcomes to a scenario). FutureSearch then runs the forecast and provides supporting research as part of the workflow, with tooling designed around producing a forecast—described as including multi-agent and research team capabilities.

FutureSearch emphasizes a public performance record and evaluation results, including a live tournament standing on Metaculus FutureEval and a benchmark placement on ForecastBench. It also publishes real-money trading results and positions on markets such as Kalshi and Polymarket, alongside S&P 500-related results, with research behind positions published (including losing positions).

For developers and power users, FutureSearch offers an API plus SDK/docs and integrations via an MCP endpoint that can be connected as a custom connector in Claude.ai / Claude Desktop, and used from tools like Claude Code (via a CLI command). Practical outcomes include turning ad hoc “what happens next?” questions into structured forecasts with attached research, and enabling forecasting as a callable capability inside agentic or developer workflows via API/MCP integration.

Pricing is usage-based per question, listed as $0.15 to $2 per question depending on effort, and there is a “Try it for free” option noted on the product along with a research plan promotion (“half price for your first month”).

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