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MiroFish vs badgeIA

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 badgeIA
Detail MiroFishbadgeIA logo badgeIA
What it doesA simple and universal swarm intelligence engine The credential layer for AI agents
StageNot given Startup
FoundedNot given 2026
Based inNot given ES
Pricing modelFreemium Freemium
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%. Free: 1 agent, 30 runs/month, public scoring only. Pro: unlimited agents, 1,000 runs/month, private runs, $120/year or $12/month. Team: unlimited agents, 5,000 runs/month, 5 seats, $261/year or $29/month. Enterprise: 25,000 pooled runs/month, SSO, SCIM, from $499/month billed annually.
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
  • Standardised work sample testing with composite scoring (40% success, 30% latency, 30% cost)
  • Five-axis diagnostic radar (correctness, latency, cost, tool efficiency, robustness)
  • Ed25519-signed certificates with public key verification
  • Hiring Frontier cost-per-task analysis across model candidates
  • Embedded badge rendering for README files
  • Private screening (Pro plan and above)
  • Team workspaces with up to 5 seats
  • CSV and PDF export
  • API access with rate limits
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
  • Standardised testing ensures scores are comparable, not self-reported
  • Free forever for public scoring with no credit card required
  • Model-agnostic testing works with any LLM provider
  • Screening completes in under 5 minutes
Community votes00
DR (Domain Rating by Ahrefs)56 no change since last check1 no change since last check
Trust Flow (Majestic)50
Citation Flow (Majestic)3019
Referring domains (Majestic)16010

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