MiroFish vs PageLines

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 PageLines
Detail	MiroFish	PageLines
What it does	A simple and universal swarm intelligence engine	Personal AI agents that run on their own computers, watch your pipeline, inbox and calendar, report problems early, and do the work you delegate
Stage	Not given	Startup
Founded	Not given	2024
Based in	Not given	US
Pricing model	Freemium	Freemium
Pricing	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%.	Free: one bot with 5,000 credits and standard models (no browser, pauses when idle). Essential: $49/month per computer. Professional: $99/month per computer. Business: $199/month per computer. Any paid tier includes a 10-day free trial.
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	Personal AI agents with their own cloud computer and browser Multi-channel deployment on Slack, Telegram, iPhone, and voice Approval workflow for all agent actions
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	Agents run on their own dedicated cloud computer, not shared infrastructure Built on open-source agent (Hermes) and open-weight models, not proprietary AI Employee-owned with no outside investors, focused on augmentation not replacement Every action requires user approval before execution All work handled by the agent is human-designed and user-coached
Community votes	0	0
DR (Domain Rating by Ahrefs)	56 no change since last check	77 no change since last check
Trust Flow (Majestic)	5	67
Citation Flow (Majestic)	30	44
Referring domains (Majestic)	160	1688

5 details filled in for both companies.

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