| What it does | Runtime security for your own agents
| A simple and universal swarm intelligence engine
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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 | Freemium
| Freemium
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| Pricing | Free: $0/mo for 1 agent with scanner, approvals, kill switch, phone and Telegram alerts, and 7-day history. Pro: $24.99/mo for up to 5 agents with learned autonomy, Time Machine, data-leak tripwire, vault, and unlimited history. Team: $79.99/mo for unlimited agents with everything in Pro plus priori
| Starter: $7.50/month (monthly) or $9/month (annual); Pro: $15.83/month (monthly) or $19/month (annual); Premium: $40.83/month (monthly) or $49/month (annual). Annual plans save 17%.
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| Key features | - Skill scanner for hidden instructions in documentation
- Encrypted vault for secrets kept away from agent context
- Kill switch for instant agent stopping
- Rewind time machine to walk back agent actions
- Data-leak tripwire for PII and secrets detection
- Live operations dashboard monitoring all agents
- Phone and Telegram alerts for held and blocked actions
| - Upload PDF, Markdown, and text documents to seed simulations
- Convert source material into ontology and graph structure
- Run parallel simulations with up to 1 million agents per run
- Generate prediction reports with key risks and confidence signals
- Deep interaction through ReportAgent or direct character interviews
- Dual-surface simulation across Twitter and Reddit style channels
- Follow-up questions in the same workspace for continued analysis
- Build executable scenarios for public opinion, market, policy, and narrative use cases
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| What makes it different | - Runtime gate checks actions before they execute, not after like logs
- External to agent so injected content cannot override security rules
- Differentiates between reversible actions that flow immediately and irreversible ones needing approval
- Catches runtime threats that static scanning misses
- Built for individual developers, not enterprise
| - Inspectable AI forecasts treated as exploratory hypotheses before operational decisions
- Review simulations before upload with the Forecast Explorer gallery
- Graph-native simulation that exposes actor incentives, narrative spread, and reaction chains
- Templates and guides for recurring scenario types like crises and product launches
- Keeps judgment with humans on scenario boundaries and high-stakes operating calls
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 5 |
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| Citation Flow (Majestic) | 13 | 30 |
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| Referring domains (Majestic) | 8 | 160 |
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Chloros