Gumloop vs MiroFish
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Gumloop compared with MiroFish
| Detail | 
Gumloop | M
MiroFish |
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| What it does | The multiplayer AI agent builder
| A simple and universal swarm intelligence engine
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Free 14-day trial. Pro plan starts at $37/month with 20,000 monthly credits. Enterprise plan available with custom pricing.
| Starter: $7.50/month (monthly) or $9/month (annual); Pro: $15.83/month (monthly) or $19/month (annual); Premium: $40.83/month (monthly) or $49/month (annual). Annual plans save 17%.
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| Key features | - Browser automation with real browser execution
- Over 300 native integrations
- Support for any AI model including frontier and open-source
- Session recordings with audit logs
- Human-in-the-loop with secure handoffs
- Password vault for credential management
- CAPTCHA handling
- Agent self-improvement through reflection
- Detailed spend analytics per model and agent
- Role-based access control and governance
| - Upload PDF, Markdown, and text documents to seed simulations
- Convert source material into ontology and graph structure
- Run parallel simulations with up to 1 million agents per run
- Generate prediction reports with key risks and confidence signals
- Deep interaction through ReportAgent or direct character interviews
- Dual-surface simulation across Twitter and Reddit style channels
- Follow-up questions in the same workspace for continued analysis
- Build executable scenarios for public opinion, market, policy, and narrative use cases
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| What makes it different | - Anyone can build agents without coding, not just technical teams
- Full observability and control over AI spend with credit-based billing
- Agents run in real browser with full web access and integration capabilities
- Enterprise-grade security with VPC deployment and data ownership
| - Inspectable AI forecasts treated as exploratory hypotheses before operational decisions
- Review simulations before upload with the Forecast Explorer gallery
- Graph-native simulation that exposes actor incentives, narrative spread, and reaction chains
- Templates and guides for recurring scenario types like crises and product launches
- Keeps judgment with humans on scenario boundaries and high-stakes operating calls
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 75 ● no change since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 19 | 5 |
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| Citation Flow (Majestic) | 49 | 30 |
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| Referring domains (Majestic) | 4273 | 160 |
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5 details filled in for both companies.
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