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
| Detail |
runx |
Edge Arena |
| What it does | Give your agent specialist skills for the work around your product
| Put your business decisions on trial with competing AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Not 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
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| 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
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| 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 17 ▲ +1 (up) since last check | 28 ● no change since last check |
| Trust Flow (Majestic) | 10 | 9 |
| Citation Flow (Majestic) | 29 | 32 |
| Referring domains (Majestic) | 68 | 180 |
4 details filled in for both companies.
More alternatives to runx More alternatives to Edge Arena