Construct Computer vs MiroFish

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

Construct Computer compared with MiroFish
Detail	Construct Computer	MiroFish
What it does	AI agents for startups and small teams that handle research, outreach, ops and reporting	A simple and universal swarm intelligence engine
Stage	Startup	Not given
Founded	2026	Not given
Based in	Not given	Not given
Pricing model	Freemium	Freemium
Pricing	Lite: $9/month (or $7.50/month annual). Starter: $59/month (or $39/month annual). Pro: $299/month (or $199/month annual, $2,388/year). Enterprise: custom pricing. Annual plans include 4 months free (Starter and Pro) or 2 months free (Lite). 7-day free trial on Pro.	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	Persistent cloud workspace with files, memory, and schedules 200+ app integrations including Gmail, Slack, Notion, Linear, Jira, GitHub Research and cited reports Email reading and sending Workflow automation and scheduling Activity log tracking all agent actions Web browser and terminal access Memory inspection and correction Team collaboration with workspaces Custom MCP servers and internal tools	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	Persistent workspace that survives across sessions User owns all data and agent outputs Works across multiple channels including email, Slack, Discord Partial work saved if job fails	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 votes	0	0
DR (Domain Rating by Ahrefs)	41 −1 (down) since last check	56 no change since last check
Trust Flow (Majestic)	10	5
Citation Flow (Majestic)	34	30
Referring domains (Majestic)	165	160

5 details filled in for both companies.

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