Alsona vs MiroFish
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Alsona compared with MiroFish
| Detail | 
Alsona | M
MiroFish |
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| What it does | AI agents that find buyers and book sales conversations
| A simple and universal swarm intelligence engine
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| Stage | Startup
| 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 | Starter: $99/month (500 High-Intent Prospects, 2 agents); Pro: $149/month (2,500 High-Intent Prospects, 8 agents); Ultra: $499/month (10,000 High-Intent Prospects, unlimited agents). All plans include 7-day free trial.
| 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 | - Intent-based lead scoring
- AI-powered contextual outreach
- Unified inbox for LinkedIn and email
- Multi-sender rotation
- Full autopilot mode for agents
- Bidirectional CRM synchronization
- A/B testing for outreach
- White-label support
- API access and MCP server
| - 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 | - Focuses on buying signals before outreach, not just volume
- Monitors hard-to-find signals like podcast mentions and community activity
- Includes full autopilot mode for hands-off outreach
- Scales multi-sender rotation safely 10x volume
- White-label available for agencies
| - 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) | 33 ● no change since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 14 | 5 |
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| Citation Flow (Majestic) | 34 | 30 |
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| Referring domains (Majestic) | 118 | 160 |
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5 details filled in for both companies.
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