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runx 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.

runx compared with Edge Arena
Detailrunx logo runxEdge Arena logo Edge Arena
What it doesGive your agent specialist skills for the work around your product Put your business decisions on trial with competing AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingNot given 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
  • Pre-built skills for business ops, organic growth, research and development
  • Compose skills into repeatable workflows
  • Signed receipts recording each run
  • Run locally without account via open-source CLI
  • Secure credential management through connectors
  • Approval gates for spending and publishing actions
  • Integration with Claude Code, Codex, Cursor and other agents
  • Connect to GitHub, Slack, Apollo, Linear, Notion, Sentry and more
  • 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
  • Runs skills locally on your machine via open-source CLI without requiring an account
  • Keeps credentials secure in connectors so they never appear in skills or receipts
  • Records every action in a signed receipt for full audit trail
  • Write and combine your own skills into custom workflows
  • 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 votes00
DR (Domain Rating by Ahrefs)17 +1 (up) since last check28 no change since last check
Trust Flow (Majestic)109
Citation Flow (Majestic)2932
Referring domains (Majestic)68180

4 details filled in for both companies.

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