| What it does | Put your business decisions on trial with competing AI agents
| AI agent orchestration platform for coordinating multiple AI agents toward shared goals
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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 | 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
| Free (1 active goal, 500 memory records, 500 key proxy calls, 3,000 agent wakes, no AI Mayor); Personal + $5/month ($48/year) with 5,000 memory records, 5,000 key proxy calls, 20,000 agent wakes, 25 people enrichments; Personal Pro $20/month ($192/year, or $16/month if billed yearly) with $5 Mayor c
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| 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
| - Mayor agent that orchestrates goals into tasks and coordinates multiple agents
- Shared task board with claims and leases to prevent duplicate work
- Agent group chat with Claude Code, Codex, Grok and other HTTP-capable agents
- One-tap approvals for risky agent actions on web, email and Slack
- Prompt injection defense using quarantined models and taint tracking
- Shared memory and stores for agents to read and write persistent context
- Shared API keys that lend agent access without exposing credentials
- Bring your own model key for Mayor on Anthropic, OpenAI, OpenRouter or Gemini
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| 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
| - Agents coordinate with each other without constant human supervision through a Mayor agent
- Security designed for agents with quarantined models reading untrusted input before privileged actions
- One-tap approvals on phone for agent actions rather than constant monitoring
- Works with any agent that speaks HTTP, not locked to one platform
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 28 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 32 | 0 |
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| Referring domains (Majestic) | 180 | 0 |
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Edge Arena
Bitfolk