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Cronloop vs MiroFish

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

Cronloop compared with MiroFish
DetailCronloop logo Cronloop MiroFish
What it doesAI agents that run on a schedule to automate recurring work A simple and universal swarm intelligence engine
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelNot given Freemium
PricingFree plan: $0 per month with up to 3 agents, runs as often as every hour, 200 run minutes each month, runs up to 10 minutes, 1 active run at a time. Pro plan: $25 per month ($20 per month when billed annually) with no fixed agent limit, runs as often as every 5 minutes, no fixed monthly run-minute l 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
  • Create agents with Markdown descriptions
  • Run agents on custom schedules from every 5 minutes to once a week
  • Agents keep memory and self-improve between runs
  • Connect any tool with an API, MCP, or CLI
  • Sandbox environment with package installation
  • MCP server for ChatGPT and Claude integration
  • Live output and run history
  • Support for subscriptions and API keys
  • 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
  • Agents remember previous runs and continuously self-improve
  • Works with any tool, API, or skill via integrations
  • Control agents directly from ChatGPT and Claude
  • Fresh sandbox for each run with automatic package installation
  • 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)16 +1 (up) since last check56 no change since last check
Trust Flow (Majestic)55
Citation Flow (Majestic)2730
Referring domains (Majestic)101160

4 details filled in for both companies.

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