| What it does | Structured AI decisions with probabilities for developers
| Lead armies of AI agents sanely
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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 | Paid
| Freemium
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| Pricing | Starter: $9.9 with 100,000 credits, no expiry; Pro: $99 with 1,000,000 credits, no expiry; Enterprise: $999 with 11,000,000 credits. One-time plans do not auto-renew; credits remain available after purchase.
| Free: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr
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| Key features | - Typed decision output with Choice, Score, and Noul question types
- Probability and confidence results on every answer
- Online playground for testing with unlimited runs
- REST API and SDK integration
- Multiple concurrent requests
- Team workspaces and collaboration
- Up to 8 typed questions per request
- Fast decision latency around 120ms
- Agent Skill for coding agents and LLM workflows
- Support for English and Simplified Chinese
| - Hierarchical agent trees with parent-child delegation and coordination
- Container-isolated agent environments with Linux shell and persistent filesystem
- Persistent agent memory and context between runs
- Cron-based scheduled execution with overlap handling
- Shared /shared folder for cross-agent file collaboration
- Support for 30+ AI models from multiple providers
- Web IDE with terminal access and five editor themes
- Static site dashboards built and maintained by agents
- Voice input and file attachment support
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| What makes it different | - Structured output with defined answer space
- Probability-backed decisions code can use directly
- Multiple questions from one state in parallel
- Developer control over business logic and actions
- Designed to integrate into existing systems without replacement
| - Agentic tree structure where agents collaborate and share context unlike stateless tools
- Fully isolated Linux containers for each agent with persistent filesystems
- Persistent memory and context continuity across scheduled runs
- Mix and match 30+ AI models freely within the same team
- Pricing per fleet rather than per seat or per token overage
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 13 ▲ +1 (up) since last check | 31 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 23 | 30 |
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| Referring domains (Majestic) | 59 | 115 |
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Jev Model
Taurus