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Jev Model 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 Model compared with MiroFish
DetailJev Model logo Jev Model MiroFish
What it doesStructured AI decisions with probabilities for developers A simple and universal swarm intelligence engine
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelPaid Freemium
PricingStarter: $9.9 with 100,000 credits, no expiry; Pro: $99 with 1,000,000 credits, no expiry; Enterprise: $999 with 11,000,000 credits. One-time plans do not auto-renew; credits remain available after purchase. 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%.
Key features
  • Typed decision output with Choice, Score, and Noul question types
  • Probability and confidence results on every answer
  • Online playground for testing with unlimited runs
  • REST API and SDK integration
  • Multiple concurrent requests
  • Team workspaces and collaboration
  • Up to 8 typed questions per request
  • Fast decision latency around 120ms
  • Agent Skill for coding agents and LLM workflows
  • Support for English and Simplified Chinese
  • 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
What makes it different
  • Structured output with defined answer space
  • Probability-backed decisions code can use directly
  • Multiple questions from one state in parallel
  • Developer control over business logic and actions
  • Designed to integrate into existing systems without replacement
  • 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
Community votes00
DR (Domain Rating by Ahrefs)13 +1 (up) since last check56 no change since last check
Trust Flow (Majestic)05
Citation Flow (Majestic)2330
Referring domains (Majestic)59160

5 details filled in for both companies.

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