FutureSearch
FutureSearch is an AI-powered forecasting platform that delivers evidence-backed predictions for a variety of question types, including probability, numeric, date, categorical, conditional, and decision forecasts. It draws on a shared world model that improves with usage, enabling users to generate accurate forecasts quickly and at a low per-question cost. The platform is designed for both individual users and enterprises, offering a web interface, API, and SDK for integration into existing workflows. Its public track record includes ranking first in Metaculus's FutureEval tournament and outperforming the superforecaster median on ForecastBench, with results verified on real-money markets like Kalshi and Polymarket. The system supports multi-agent research teams and provides deep research capabilities, making it a robust tool for decision-making under uncertainty. Customers include leading AI labs such as Anthropic, OpenAI, Google, and xAI, as well as startups and professional services firms. FutureSearch also integrates seamlessly with tools like Claude through MCP connectors, turning AI assistants into accurate forecasters.
- Category
- AI Predictions
- Pricing
- Unknown
Problem solved
FutureSearch addresses the challenge of making accurate, evidence-based predictions about uncertain future events. By leveraging AI and a continuously improving world model, it provides probabilistic forecasts that help individuals and organizations make better decisions under uncertainty, reducing reliance on intuition or biased human judgment.
Use cases
- Forecasting macroeconomic indicators and financial outcomes
- Predicting technology and AI industry milestones
- Supporting strategic business decisions with probabilistic reasoning
- Assessing geopolitical events and risks
- Integrating AI forecasting into existing workflows via API
Audience
- Business Users
- Developers
- Researchers
- Data Scientists
- Enterprise
Pros
- High accuracy backed by public track record
- Affordable per-question pricing
- Compounding world model improves with use
- Easy integration with Claude and other tools via API/SDK
- Trusted by leading AI research labs
Cons
- Cost can accumulate for high-volume use
- Limited to predefined question types
- Relies on AI which may have inherent biases
- Cloud-based, requires internet connectivity
- May not cover niche or highly specialized domains
Official website: https://futuresearch.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/futuresearch