| What it does | AI agent delivery platform for domain experts to build, deploy, and run agents that complete real work
| Put your business decisions on trial with competing AI agents
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| Stage | Not given
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| Founded | 2023
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| Based in | US
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| Pricing model | Not given
| Freemium
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| Pricing | Pro plan: $30/month (limited offer, regular $100/month) with 6000 credits plus 14000 bonus credits, 4-core CPU, 4GB RAM, 40GB storage. Managed Agent API and Enterprise plans available.
| 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 | - Agent Builder for building agents through conversation
- 50+ industry agent templates
- Support for 20+ leading models including OpenAI, Claude, Gemini, DeepSeek
- Integration with Google Workspace, Microsoft 365, Slack, Lark, Jira, GitHub
- ZooData for converting URLs into agent-ready JSON
- Approval gates for sensitive operations
- Managed Agent API for production deployment
- Knowledge Management and data collection
- Triggers and scheduled tasks
- Complete auditability with recording of all decisions and tool calls
| - 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 | - Agents built and operated by domain experts, not just engineers
- Production-ready agents live in 7 days with forward-deployed engineers
- Agents operate on real systems with approval gates and complete auditability
- Security-first with tenant isolation, encryption, and role-based access control
- Multi-agent runtime with no vendor lock-in and support for all frontier models
| - 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) | 35 ▼ −1 (down) since last check | 28 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 9 |
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| Citation Flow (Majestic) | 40 | 32 |
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| Referring domains (Majestic) | 138 | 180 |
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ZooWork
Edge Arena