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MiroFish vs Stilops

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 Stilops
Detail MiroFishStilops logo Stilops
What it doesA simple and universal swarm intelligence engine AI agents for specific business functions that rehearse tasks as test runs before execution
StageNot given Not given
FoundedNot given Not given
Based inNot given DE
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%. Roles range from € 99 to € 499 per month excluding VAT, with included monthly tasks varying by role: Administrative Assistant and Association Secretary at € 99/mo (40-45 tasks); Secretary at € 109/mo (50 tasks); Process Documentation and Planner at € 129/mo (15-40 tasks); Customer Service at € 229/m
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
  • Pre-built roles from a catalogue (31 roles)
  • Fingerprint verification on approval (SHA-256)
  • Full audit trail of proposals, test runs and approvals
  • Integration with 12+ pre-connected services
  • Custom REST API and MCP server connections
  • Servers in Germany within EU
  • AI Act compliance file (limited risk classification)
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
  • Test runs show actual outcomes with no side effects before real execution
  • No automatic approvals—every proposal requires explicit human approval
  • Approved test run and execution count together as one task, not two
  • Declined proposals are free and don't count against quota
Community votes00
DR (Domain Rating by Ahrefs)56 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)50
Citation Flow (Majestic)300
Referring domains (Majestic)1600

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