| What it does | Structured AI decisions with probabilities for developers
| 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 | 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 (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 | - 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
| - 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 | - 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
| - 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) | 13 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 23 | 0 |
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| Referring domains (Majestic) | 59 | 0 |
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Jev Model
Bitfolk