How do their growth rates compare?

FutureSearch has a month-over-month growth rate of -32.7%; MiroMind has -46.8%.

How does pricing compare?

FutureSearch: Freemium. Freemium with pay-per-question usage. The site advertises $0.25 to $5 per question depending on how much research effort you request, plus free trial access. API and enterprise arrangements are handled by contacting the team. MiroMind: Paid, Contact for Pricing. Credit-based with a free tier. The public pricing page shows a Free plan at $0 with 100 credits refreshed every 24 hours, and a Pro plan at $19 per month including 20,000 credits with priority response and early access. One-off boost packs (for example 4,000 credits) are also sold. Credit consumption depends on whether a request is classified as simple, medium or complex, and on Basic versus Pro mode. Verify current numbers on the vendor's pricing page.

What are alternatives to FutureSearch and MiroMind?

Other tools in related categories include DeepSeek, Perplexity, Kimi AI, Semantic Scholar, Consensus.

FutureSearch vs MiroMind — Traffic (34.47K vs 28.04K), Pricing & Verdict

Open AI Tools

FutureSearch vs MiroMind — Traffic (34.47K vs 28.04K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	FutureSearch	MiroMind
Official Domain	futuresearch.ai	miromind.ai
Pricing Model	Freemium	Paid, Contact for Pricing
Monthly Visits	34.47K (34,474)	28.04K (28,042)
MoM Traffic Delta	-16.71K (-32.7%)	-24.69K (-46.8%)
Primary Market & Share	🇺🇸 United States (58.7%)	🇨🇳 China (80.4%)
Direct Visits / mo	14.5K	11.81K
User Rating	4.5	4
Supported Platforms	Website	Website

FutureSearch

Calibrated forecasts with the evidence trail attached

Four forecast formats

Ask for a probability, a numeric range, a specific date, or a categorical pick among candidates — the platform returns the answer type that matches your question.

Multi-agent research with citations

A team of agents searches, reads and weighs sources for each question, then returns a forecast with the evidence and reasoning shown so you can inspect and challenge it.

Public, verifiable track record

Standings on Metaculus, ForecastBench and MiniBench, plus published live positions on Kalshi and Polymarket — including losses — so accuracy can be checked rather than assumed.

MCP connectors for your AI assistant

Add FutureSearch to Claude.ai, Claude Desktop, Claude Code, Cursor, ChatGPT or Codex so your assistant can forecast decisions with context about your own situation.

Strengths & Pros

+Public benchmark standings and disclosed market positions make accuracy claims checkable
+Outputs are typed to the question — probability, number, date or category — rather than free text
+MCP integration means you can forecast from inside Claude, Claude Code, Cursor or ChatGPT