FU

FutureSearch

active saas

Search the Future.

AI-powered forecasting and research platform that uses teams of AI agents to research questions, make probabilistic and numeric forecasts, analyze datasets and perform structured web research at scale.

Visit Official Website →

What is FutureSearch?

FutureSearch is an AI forecasting and research platform built around autonomous research agents and probabilistic forecasting. Users can ask questions about future events, numeric outcomes, dates, categorical outcomes, conditional scenarios or decisions, and FutureSearch researches the relevant evidence before producing a forecast. Beyond individual forecasts, the platform provides multi-agent research teams, Agent Map for enriching every row of a dataset with web research, classification, ranking, entity matching and deduplication tools. It also provides API and Python SDK access plus an MCP server for using its research capabilities from AI coding assistants such as Claude Code.
Software Category Research, Science & Technical Tools
Pricing Model Freemium + Usage-Based + Subscription + Enterprise
Product Type saas
Starting Price USD $2020.00

FutureSearch Features

✓ Key Feature

Multi-agent research architecture enables parallel investigation of complex questions with evidence-based probabilistic forecasting

✓ Key Feature

Agent Map feature provides dataset row enrichment with web research, classification, ranking, entity matching, and deduplication capabilities

✓ Key Feature

Comprehensive API, Python SDK, and MCP server integration allows embedding research capabilities into AI coding assistants and custom workflows

✓ Key Feature

Supports diverse forecast types including numeric outcomes, dates, categorical outcomes, and conditional scenarios

FutureSearch Pricing

Billing Model: Freemium + Usage-Based + Subscription + Enterprise
USD $2020.00 / starting

Check the official vendor site for volume discounts, regional tiers, and enterprise terms.

View Official Pricing →

FutureSearch Pros and Cons

✓ Key Strengths (Pros)

  • • Multi-agent research architecture enables parallel investigation of complex questions with evidence-based probabilistic forecasting
  • • Agent Map feature provides dataset row enrichment with web research, classification, ranking, entity matching, and deduplication capabilities
  • • Comprehensive API, Python SDK, and MCP server integration allows embedding research capabilities into AI coding assistants and custom workflows
  • • Supports diverse forecast types including numeric outcomes, dates, categorical outcomes, and conditional scenarios

⚠ Considerations & Limitations (Cons)

  • • Enterprise pricing starting at $2,020 may be prohibitive for individual researchers or small teams with limited budgets
  • • No customer reviews or ratings currently available, limiting visibility into real-world user experiences and satisfaction metrics
  • • Freemium tier details unspecified, making it difficult to assess entry-level value before committing to paid plans