Edge Arena vs PerpBrain

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 PerpBrain
Detail	Edge Arena	PerpBrain
What it does	Put your business decisions on trial with competing AI agents	Verified, guarded Hyperliquid route for AI agents with hashed receipts and keyless access
Stage	Not given	Startup
Founded	Not given	2026
Based in	Not given	Not given
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: SDK, MCP server, simulator, receipts, paper trading. Live orders: 0.01% on volume up to $5M/month, 0.005% above $5M/month (founding testers pay 0% on first $1M/month until 28 Feb 2027). Examples: $500k volume $50/month (standard) or $0 (founding tester); $5M volume $500/month (standard) or $40
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	Hashed receipts anyone can re-verify Full cost pricing before trade execution Keyless access with no custody Owner-set limits on leverage and order size Paper trading and simulation Real order-book depth pricing MCP server protocol support TypeScript and Python SDKs
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	Receipts are hashed and anyone can re-verify them independently Costs priced before the trade based on real order-book depth No keys, accounts or custody required for research and simulation Owner-set limits that agents cannot raise Free and MIT-licensed with competitive builder fees
Community votes	0	0
DR (Domain Rating by Ahrefs)	28 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	9	0
Citation Flow (Majestic)	32	11
Referring domains (Majestic)	180	1

5 details filled in for both companies.

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