# FutureSearch vs MiroMind

FutureSearch records 34,474 monthly visits with -32.7% month-over-month growth and Freemium pricing. MiroMind records 28,042 monthly visits with -46.8% growth and Paid, Contact for Pricing pricing.

| Metric | [FutureSearch](https://openaitools.app/tool/futuresearch) | [MiroMind](https://openaitools.app/tool/miromind) |
| :--- | :--- | :--- |
| Website URL | https://futuresearch.ai | https://www.miromind.ai |
| Categories | AI Predictions, AI Research Tool, AI API, AI Investing | AI Agent, AI Predictions, Large Language Models (LLMs), AI For Finance |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 34,474 | 28,042 |
| MoM Growth Rate | -32.7% | -46.8% |
| Primary Market | United States | China |
| Direct Visits | 14,503 | 11,806 |
| Review Score | 4.5 | 4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## FutureSearch

FutureSearch approaches forecasting as a research problem rather than a guessing game. Instead of asking a single model for a vibe-based number, it dispatches a team of agents to collect evidence, weigh sources and then output a calibrated answer in whichever format fits the question: a probability ("would X happen before 2030?"), a numeric range, a date estimate, or a categorical pick among named options. Sub-questions and conditional forecasts let you model decisions — "if we do A instead of B, what happens?" — and the platform publishes the reasoning and sources alongside every result so you can audit the logic yourself.

What distinguishes the product is its public track record. FutureSearch publishes its standings on forecast benchmarks such as Metaculus FutureEval, ForecastBench and the Metaculus Cup, plus live positions on real prediction markets including Kalshi, Polymarket and S&P 500-linked questions — including the losing ones. That transparency is unusual in an AI category where accuracy claims are usually unverifiable. There are also companion workflows for research-heavy tasks: sending one question to a team of agents, or adding a researched, forecast-informed column to every row of a list or spreadsheet.

For teams that live inside an AI assistant, FutureSearch ships MCP connectors so Claude.ai, Claude Desktop, Claude Code, Cursor, ChatGPT and Codex can call the forecasting engine as a tool. A developer API and SDK cover programmatic pipelines, screening and quantitative workflows. Usage is metered per question and scales with the research effort you request, so cheap quick checks and deeper investigations are priced differently.

**Pricing & Plans:** 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.

- **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.
- **API and SDK for pipelines:** Programmatic access supports automated forecasting, list enrichment with researched columns, screening and quantitative research workflows.

**Strengths:** 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; Reasoning and sources accompany each forecast, so results can be audited

**Limitations:** Per-question pricing scales with research effort, so deep investigations add up; Requires a well-framed question to be useful; vague prompts produce vague forecasts; Benchmark performance is strong but still not a guarantee for your specific domain

[Profile (Markdown)](https://openaitools.app/tool/futuresearch.md)

## MiroMind

MiroMind is a reasoning-first AI platform built by an AI research group of the same name. Its central claim is that it is designed for general-purpose problem solving that requires careful, verifiable thinking rather than fast conversational answers: long chains of dependent reasoning, source gathering, and synthesis across several documents or data points.

The platform's public face is the MiroThinker family of open-source deep research models, which the vendor benchmarks against other open and closed models on tasks such as GAIA and BrowseComp. Around those models MiroMind builds an agentic product: you ask a question, the system plans, browses, verifies and returns a structured report, which is why the company markets domain solution tracks for finance, legal, biology, manufacturing and science rather than a single generic chatbot.

MiroMind is also available as mobile apps on iOS and Android, and the company frames its longer-term ambition around "MiroMind OS", a layer intended to mirror human intelligence through continuity of memory. Access follows a credit-based model, with a free daily allowance and a paid Pro plan.

**Pricing & Plans:** 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.

- **Long-horizon multi-step reasoning:** The platform is tuned for long dependency chains of reasoning - the vendor describes 100+ step DAG reasoning - rather than single-turn question answering.
- **Evidence-backed deep research:** An agentic mode browses the live web and assembles cited reports on fast-moving topics such as markets, events and technology announcements.
- **Open-source MiroThinker models:** MiroThinker is a series of open-source deep research models published with weights and resources on GitHub and HuggingFace for developers and researchers.
- **Domain solution tracks:** Purpose-built workflows cover financial risk and compliance, legal contract and regulatory analysis, hypothesis generation in biology, and system design or failure analysis in engineering.
- **MiroMind OS memory layer:** MiroMind OS is positioned as an operating layer that maintains memory continuity across sessions so long-running reasoning tasks retain context.

**Strengths:** Focus on verifiable, multi-step reasoning rather than surface-level chat responses; Open-source MiroThinker models with published weights let developers inspect and self-host; Free daily credit allowance makes it easy to evaluate before paying; Purpose-built domain tracks for finance, legal, bio and engineering use cases

[Profile (Markdown)](https://openaitools.app/tool/miromind.md)

## Frequently Asked Questions

### How do FutureSearch and MiroMind compare in monthly traffic?

FutureSearch has 34,474 monthly visits, while MiroMind has 28,042. Traffic estimates describe audience size, not product quality.

### 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 3 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Moonshot AI's long-context assistant for research, coding, and agentic work | [.md](https://openaitools.app/tool/kimi-chat.md) |
| 4 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 5 | [Consensus](https://openaitools.app/tool/consensus) | 6,014,388 | -1.2% | Freemium | AI academic search engine for peer-reviewed science | [.md](https://openaitools.app/tool/consensus.md) |
| 6 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 7 | [Harvey](https://openaitools.app/tool/harvey-ai) | 1,832,998 | +26.1% | Contact for Pricing | Domain-specific AI for law firms, in-house legal teams, and professional services | [.md](https://openaitools.app/tool/harvey-ai.md) |
| 8 | [MacroMicro](https://openaitools.app/tool/macromicro) | 928,258 | +22.5% | Freemium, Paid | Global macro data and AI research platform for smarter economic decisions | [.md](https://openaitools.app/tool/macromicro.md) |
| 9 | [MiniMax Agent](https://openaitools.app/tool/minimax-agent) | 679,573 | +2.8% | Freemium | An AI supercompanion that handles tasks, code and creative work end to end | [.md](https://openaitools.app/tool/minimax-agent.md) |
| 10 | [IndexBox](https://openaitools.app/tool/indexbox-io) | 330,438 | +14.5% | Free Trial, Paid | AI-driven market intelligence and trade data for 10,000+ products | [.md](https://openaitools.app/tool/indexbox-io.md) |

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Source: https://openaitools.app/compare/futuresearch-vs-miromind

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