Cronloop 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.

Cronloop compared with Edge Arena
Detail	Cronloop	Edge Arena
What it does	AI agents that run on a schedule to automate recurring work	Put your business decisions on trial with competing AI agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Not given	Freemium
Pricing	Free 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	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	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	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	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	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)	16 +1 (up) since last check	28 no change since last check
Trust Flow (Majestic)	5	9
Citation Flow (Majestic)	27	32
Referring domains (Majestic)	101	180

4 details filled in for both companies.

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