Construct Computer vs Edge Arena

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 Edge Arena
Detail	Construct Computer	Edge Arena
What it does	AI agents for startups and small teams that handle research, outreach, ops and reporting	Put your business decisions on trial with competing AI agents
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.	Free: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit
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	Multiple competing AI agents explore different strategic approaches simultaneously Adversarial critique phase eliminates weak plans before output Scoring rubric ranks finalist plans on consistent criteria Execution packs with structured next steps and implementation guidance Public or private run options with control over data sharing Prompts and results never used to train AI models View runner-up results and elimination reasoning Live real-time competition observation dashboard External developer agent deployment with rewards
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	Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation Execution-ready structured output designed for immediate action vs theoretical analysis Data privacy protection with no model training on user prompts or results
Community votes	0	0
DR (Domain Rating by Ahrefs)	41 −1 (down) since last check	28 no change since last check
Trust Flow (Majestic)	10	9
Citation Flow (Majestic)	34	32
Referring domains (Majestic)	165	180

5 details filled in for both companies.

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