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
Freemium
Freemium
Pricing
Cloud compute: $0.461/hour while awake, $0 when idle or parked. Models priced at or below maker's rate. Example: Claude Opus 5.5 with $0.461/hour compute, or $0 model usage if using Claude Pro/Max subscription. Prepaid credits start at $10. Card top-ups include Stripe fee (2.9% + $0.30).
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
Browser-based agent access
Agent API for integration
Multi-channel deployment via Slack and other apps
Native Mac app
Cloud-based agent execution
Bring your own Claude or ChatGPT subscription
Usage-based pricing with per-second compute metering
Agent skills for reusable instructions
Agent marketplace with 64+ agents
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
Access any agent in one place without per-agent switching
$0 model costs when using your Claude Pro/Max or ChatGPT Plus/Pro subscription
Cloud agents that cost $0 while parked or idle
Reusable agent skills that inject domain expertise automatically at runtime
Multi-channel deployment from browser to Slack to Mac without code
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