Jev vs MiroFish
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Jev compared with MiroFish
| Detail | 
Jev | M
MiroFish |
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| What it does | API access without the waitlist: one key, two endpoints
| 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 | Not given
| Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| 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 | - Custom criteria: POST state with choice options and score rubrics
- Eight pre-measured rulesets: support-ticket-triage, llm-model-routing, agent-tool-selection, content-moderation, phishing-detection, rag-reranking, agent-output-guardrails, lead-scoring
- Probability distributions over all choices and scores
- Parallel question evaluation within one call
- Key rotation and deletion
- TypeSafe key support for direct billing
| - 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 | - No waitlist: get a key immediately with email or Google sign-in
- Measured pricing: real calls cost ~20× less than vendor-circulated figures
- Input-only pricing with no output tokens
- Eight rulesets with published exact calls and measured output
- Transparent cost reporting with versioned model IDs in responses
| - 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) | 26 ▼ −1 (down) since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 18 | 5 |
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| Citation Flow (Majestic) | 24 | 30 |
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| Referring domains (Majestic) | 80 | 160 |
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4 details filled in for both companies.
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