Edge Arena vs badgeIA

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

Edge Arena compared with badgeIA
Detail	Edge Arena	badgeIA
What it does	Put your business decisions on trial with competing AI agents	The credential layer for AI agents
Stage	Not given	Startup
Founded	Not given	2026
Based in	Not given	ES
Pricing model	Freemium	Freemium
Pricing	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	Free: 1 agent, 30 runs/month, public scoring only. Pro: unlimited agents, 1,000 runs/month, private runs, $120/year or $12/month. Team: unlimited agents, 5,000 runs/month, 5 seats, $261/year or $29/month. Enterprise: 25,000 pooled runs/month, SSO, SCIM, from $499/month billed annually.
Key features	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	Standardised work sample testing with composite scoring (40% success, 30% latency, 30% cost) Five-axis diagnostic radar (correctness, latency, cost, tool efficiency, robustness) Ed25519-signed certificates with public key verification Hiring Frontier cost-per-task analysis across model candidates Embedded badge rendering for README files Private screening (Pro plan and above) Team workspaces with up to 5 seats CSV and PDF export API access with rate limits
What makes it different	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	Standardised testing ensures scores are comparable, not self-reported Free forever for public scoring with no credit card required Model-agnostic testing works with any LLM provider Screening completes in under 5 minutes
Community votes	0	0
DR (Domain Rating by Ahrefs)	28 no change since last check	1 no change since last check
Trust Flow (Majestic)	9	0
Citation Flow (Majestic)	32	19
Referring domains (Majestic)	180	10

5 details filled in for both companies.

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