FutureSearch

Multi-agent deep research platform with forecasting-grade rigor.

Freemium Education & Learning
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What is FutureSearch?

FutureSearch is a multi-agent deep research platform: spin up fleets of AI researchers that work datasets row by row, forecast and predict outcomes, rank and classify entities, match rows across datasets, and return calibrated, evidence-backed results. Built by forecasting experts with roots in the Metaculus community, it offers a Python SDK, API access, and MCP integration. A free tier includes $20 in credit; paid plans start at $20/mo.

Key features

  • Multi-agent research teams (spin up hundreds of researchers)
  • Row-by-row dataset research and enrichment
  • AI forecasting and prediction
  • Entity classification and dataset ranking
  • Cross-dataset row matching
  • Python SDK and REST API
  • MCP integration with Claude
  • Calibrated, evidence-backed outputs

Pros

  • Scales research beyond manual teams.
  • Forecasting pedigree from the Metaculus community.
  • $20 free credit with no card required.
  • Strong developer tooling: SDK, API, MCP.

Cons

  • Pay-as-you-go usage costs can add up at scale.
  • Specialized for research; overkill for simple queries.
  • Requires some technical comfort for SDK/API use.

FutureSearch at a glance

PricingFreemium
CategoryEducation & Learning
Platformsweb, api
CompanyFutureSearch
Official websitefuturesearch.ai
deep-researchai-agentsforecastingdata-enrichmentapisdkmarket-researchevidence

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FutureSearch FAQs

What is FutureSearch?

FutureSearch is a multi-agent deep research platform: spin up fleets of AI researchers that work datasets row by row, forecast and predict outcomes, rank and classify entities, match rows across datasets, and return calibrated, evidence-backed results. Built by forecasting experts with roots in the Metaculus community, it offers a Python SDK, API access, and MCP integration. A free tier includes $20 in credit; paid plans start at $20/mo.

What are the main features of FutureSearch?

FutureSearch offers Multi-agent research teams (spin up hundreds of researchers), Row-by-row dataset research and enrichment, AI forecasting and prediction, Entity classification and dataset ranking, Cross-dataset row matching, Python SDK and REST API, MCP integration with Claude and Calibrated, evidence-backed outputs.

How much does FutureSearch cost?

FutureSearch follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of FutureSearch?

Strengths of FutureSearch include Scales research beyond manual teams.; Forecasting pedigree from the Metaculus community.; $20 free credit with no card required.. On the downside, Pay-as-you-go usage costs can add up at scale.; Specialized for research; overkill for simple queries.; Requires some technical comfort for SDK/API use..