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Boost.space vs MiroFish

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Boost.space compared with MiroFish
DetailBoost.space logo Boost.space MiroFish
What it doesAI agents for product catalog revenue and business automation A simple and universal swarm intelligence engine
StageNot given Not given
Founded2022 Not given
Based inCZ Not given
Pricing modelPaid Freemium
PricingBob Agent Launch: $2,500 one-time (excluding VAT), includes up to 8 hours of expert work and first month of Agent OS. Custom Agent Launch: $5,000 one-time (excluding VAT), includes up to 16 hours of expert work and first month of Agent OS. Agent OS plans: Standard at $300 per month when paid annuall 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
  • Access to 9B+ commerce records for product research
  • 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
  • One-time agent purchase with no subscription lock-in for the delivered agent
  • Prove ROI in 4 weeks before committing to ongoing services
  • Delivered agent remains yours with its training, memory and custom skills
  • Reuse agent context and skills across multiple roles without starting from zero
  • Transparent pricing with confirmed costs before purchase
  • 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)62 +1 (up) since last check56 no change since last check
Trust Flow (Majestic)185
Citation Flow (Majestic)4030
Referring domains (Majestic)647160

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