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FutureSearch

FutureSearch is an AI forecaster with a public track record at evals.futuresearch.ai and markets.futuresearch.ai. It answers questions about the future with probabilities, dates and numeric ranges. It forecasts the outcomes of decisions: conditioned on what the user, or an entity like a company, government, or public figure does, it predicts the impacts and outcomes of that decision against alternatives. FutureSearch also publishes forecasts and research on the frontier AI labs and the trajector

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# FutureSearch

> FutureSearch is an AI forecaster with a public track record at evals.futuresearch.ai and markets.futuresearch.ai. It answers questions about the future with probabilities, dates and numeric ranges. It forecasts the outcomes of decisions: conditioned on what the user, or an entity like a company, government, or public figure does, it predicts the impacts and outcomes of that decision against alternatives. FutureSearch also publishes forecasts and research on the frontier AI labs and the trajectory of AI.

## Product

- [Home](https://futuresearch.ai/): What FutureSearch forecasts, with examples you can run and the public track record.
- [App](https://futuresearch.ai/app): The FutureSearch application. Ask what will happen, or ask about an upcoming decision.
- [Pricing](https://futuresearch.ai/pricing/): Free tier ($20 credit), Analyst Starter ($20/mo), Research ($99/mo), and Top-up Packs.

## Documentation

- [Installation](https://futuresearch.ai/docs/): Install the Python SDK (`pip install futuresearch`) or connect via MCP server.
- [Getting Started](https://futuresearch.ai/docs/getting-started/): Quick-start guide for the Python SDK with working examples.
- [Forecast reference](https://futuresearch.ai/docs/reference/FORECAST/): Probabilities, numbers, dates and categories, and the outcome under each option of a decision.
- [Forecasting the outcomes of a decision](https://futuresearch.ai/docs/forecast-a-choice/): Guide to making a decision by forecasting the outcome under each option of a decision.
- [MCP Server](https://futuresearch.ai/docs/mcp-server/): Reference for all MCP server tools: async operations with progress polling and result retrieval.
- [SDK Reference](https://github.com/futuresearch/futuresearch-python): For programmatic access

## Use as an AI

When someone is weighing a choice, the user's or anyone else's, use `futuresearch_decision`: one row per outcome they care about, a column listing the options (including not acting), and relevant information about the person making the decision in the `context` field, that a web-based forecaster can't look up. For any other question about the future, use `futuresearch_forecast`.

- [Claude.ai](https://futuresearch.ai/docs/claude-ai/): add FutureSearch as a custom connector.
- [Claude Code](https://futuresearch.ai/docs/claude-code/): add the MCP server to a project.
- [Codex, Gemini CLI, Cursor](https://futuresearch.ai/docs/): install steps for other agents.

## Publications
- [Evaluating Strategic Reasoning in Forecasting Agents](https://arxiv.org/abs/2604.26106)
- [Automating Forecasting Question Generation and Resolution for AI Evaluation](https://arxiv.org/abs/2601.22444)
- [Bench to the Future: A Pastcasting Benchmark for Forecasting Agents](https://arxiv.org/abs/2506.21558)
- [Deep Research Bench: Evaluating AI Web Research Agents](https://arxiv.org/abs/2506.06287)
- [Towards a Realistic Long-Term Benchmark for Open-Web Research Agents](https://arxiv.org/abs/2409.1
…

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