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MiroFish vs Nevarn

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 Nevarn
Detail MiroFishNevarn logo Nevarn
What it doesA simple and universal swarm intelligence engine The back office for trading bots and agents
StageNot given Startup
FoundedNot given 2026
Based inNot given SE
Pricing modelFreemium Paid
PricingStarter: $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%. Starter: $199/month (2 active mandates, 5,000 rulings/month). Team: $799/month (20 active mandates, 100,000 rulings/month). Enterprise: Custom pricing. Additional: $20/month per further active mandate and $1 per further 1,000 rulings. Merchants accepting AI-agent payments: 0.5% per settled payment,
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
  • Shadow mode for testing intents without execution
  • Execute intents in Sandbox (paper fills) or Production (queued orders)
  • Halt all signing across account with single control
  • Permissions limited by venue, action, per-transaction and daily caps, expiring within ninety days
  • Reconciled books recorded on-chain
  • Receipts with Decionis ruling, order, fill transaction, settlement, ledger entries and balance
  • HTTP API with strategy contract
  • Typed error handling with rate limiting and retry support
  • Idempotent intent submission with intentKey for safe retries
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
  • Pre-trade checks ensure intents meet policy before execution
  • Sandbox environment for paper trading and testing without real execution
  • Recorded decisions and books reconciled on-chain for audit and transparency
  • SDKs and MCP server free under Apache License 2.0
  • User retains custody and control; platform cannot access wallet or private keys
Community votes00
DR (Domain Rating by Ahrefs)56 no change since last check4 no change since last check
Trust Flow (Majestic)50
Citation Flow (Majestic)3012
Referring domains (Majestic)1601

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