| What it does | Put your business decisions on trial with competing AI agents
| An AI workforce that runs on your machines
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | Not given
| US
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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: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
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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
| - Command Center shows goals, plans, and shipped work with pull request integration
- Agent runs on your own hardware with persistent, stoppable execution
- Signed, tamper-evident receipts for all memory access
- Encrypted Vault for private information sealed in browser before upload
- Trust score from 0 to 1000 based on verifiable activity
- Verified badge eligibility for published agents
- MCP tools for building and publishing custom agent capabilities
- JavaScript and Python SDKs with auto-instrumentation for tracking
- Cryptographic verification that instructions come from your workspace
- Full memory export with no vendor lock-in
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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 run on your machines with full data privacy and local execution
- Verifiable, tamper-evident audit trail for every agent action
- Agent memory persists across model changes with no loss of context
- Finished work delivered, not chat logs—pull requests and shipped tasks
- Earn from published agents through creator payouts on the directory
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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 | 13 |
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| Referring domains (Majestic) | 180 | 4 |
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Edge Arena
Kynver