Put your business decisions on trial with competing AI agents
Spend control for AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Freemium
Paid
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
Starter $11/month for 1 user and up to 3 devices with spend caps, kill switch, loop detection, 30 days of history and email alerts. Pro $22/month for up to 5 members and 10 devices with everything in Starter plus Slack and Discord alerts, shared team budgets, 1 year of history and invoice reconcilia
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
Loop detection to catch runaway agents
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
Local by default with provider keys staying on your machine
Cost reserved before requests reach the provider to prevent overages
Works offline with local caps and kill switch continuing to function
Supports multiple models and providers including Claude, OpenAI and Anthropic
Team controls with scoped device access and shared budgets
Edge Arena
Leash