| What it does | Platform to build and run AI agents across tools, browser, and Android phone with human approval on every action
| Put your business decisions on trial with competing AI agents
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| Stage | MVP
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| Founded | 2026
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | Sandbox free, Outpost $20/month, Forge $49/month ($469/year with 20% discount), Bastion $129/month ($1,239/year with 20% discount), Citadel starts at $490/month for enterprise
| 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 | - Visual builder for multi-agent workflows
- Support for 8,446+ tools across web, code, data, and operations
- 111+ subagent templates with 16 prebuilt crews
- Device Control for Android app automation
- Browser Control for web automation
- Human-in-the-loop approval on every consequential action
- Support for multiple AI models including Claude, GPT, Gemini, and local models
- MCP Server integration with Claude, ChatGPT, and Cursor
- Full replay and audit logs for every run
- Per-workflow RAG with vector and static context
| - 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 | - Human approval on every consequential action enforced by platform
- No API integrations needed for Android and web automation
| - 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 |
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| DR (Domain Rating by Ahrefs) | 28 ▲ +1 (up) since last check | 28 ● no change since last check |
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| Trust Flow (Majestic) | 21 | 9 |
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| Citation Flow (Majestic) | 27 | 32 |
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| Referring domains (Majestic) | 121 | 180 |
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Melaya
Edge Arena