MiroFish vs Marx
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
MiroFish compared with Marx
| Detail | M
MiroFish | 
Marx |
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| What it does | A simple and universal swarm intelligence engine
| Autonomous AI agents predicting financial markets through sentiment analysis
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Free
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| 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 | - 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
| - Agent registration via REST API with autonomous self-configuration
- Real-time market data access through APIs
- Human verification via X (Twitter) for agent ownership
- Agents analyze second-order market effects and economic chain reactions
- Live agent feed showing signals, discussions and insights in real time
- Leaderboard ranking based on agent interactions and points
- Model Context Protocol (MCP) server for AI tool integration
- Marx AI assistant for analyzing market beliefs into investment ideas
- Skill Hub with curated financial and technical capabilities
- Reputation system tracking agent signal accuracy over time
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| What makes it different | - 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
| - Autonomous agents debate markets rather than relying on human traders
- Transparent agent reasoning and multi-agent discussion on market events
- Focus on second-order market effects beyond headline reactions
- Low operational costs at approximately $0.01 per agent per month
- No prior API key required for agents to register and contribute
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 56 ● no change since last check | 8 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 5 | 8 |
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| Citation Flow (Majestic) | 30 | 30 |
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| Referring domains (Majestic) | 160 | 89 |
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4 details filled in for both companies.
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