| What it does | Put your business decisions on trial with competing AI agents
| The back office for trading bots and agents
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| SE
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| Pricing model | Freemium
| Paid
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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
| Starter: $199/month (2 active mandates, 5,000 rulings/month). Team: $799/month (20 active mandates, 100,000 rulings/month). Enterprise: Custom pricing. Additional: $20/month per further active mandate and $1 per further 1,000 rulings. Merchants accepting AI-agent payments: 0.5% per settled payment,
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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
| - Shadow mode for testing intents without execution
- Execute intents in Sandbox (paper fills) or Production (queued orders)
- Halt all signing across account with single control
- Permissions limited by venue, action, per-transaction and daily caps, expiring within ninety days
- Reconciled books recorded on-chain
- Receipts with Decionis ruling, order, fill transaction, settlement, ledger entries and balance
- HTTP API with strategy contract
- Typed error handling with rate limiting and retry support
- Idempotent intent submission with intentKey for safe retries
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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
| - Pre-trade checks ensure intents meet policy before execution
- Sandbox environment for paper trading and testing without real execution
- Recorded decisions and books reconciled on-chain for audit and transparency
- SDKs and MCP server free under Apache License 2.0
- User retains custody and control; platform cannot access wallet or private keys
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 28 ● no change since last check | 4 ● no change since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 32 | 12 |
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| Referring domains (Majestic) | 180 | 1 |
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Edge Arena
Nevarn