| What it does | A simple and universal swarm intelligence engine
| Autonomous AI research agents that deliver scheduled briefings on SEC filings, earnings, and market data with cited sources
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | 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%.
| Free tier available. Pro: $29/month with 7-day free trial, up to 7 Active Agent Slots (1 hourly plus 6 daily). Ultra: $89/month with up to 21 Active Agent Slots (3 hourly plus 18 daily). Max: $199/month with up to 42 Active Agent Slots (6 hourly plus 36 daily).
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| Key features | - 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
| - Scheduled autonomous agents running on daily or hourly schedules
- Live market data with interactive price and volume charts from one day to five years
- Earnings call transcripts with key metrics including revenue, margins, segment results, and management guidance
- SEC EDGAR filing analysis and citations
- Macro data from FRED with year-over-year and month-over-month comparisons
- Earnings call transcript search by meaning and theme tracking across companies
- Market screening and ranking across S&P 500 stocks
- Prediction market data from Polymarket on upcoming events
- Multi-channel delivery via email, Discord, in-app, and SMS notifications
- Open API for integration with external agents and workflows
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| What makes it different | - 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
| - Every claim in research briefings is linked to and cited from original sources
- Scheduled agents run autonomously to deliver briefings before you ask
- Uses live real-time data rather than trained knowledge, unlike ChatGPT
- Open API allows any external agent to access grounded market research
- Integrates with agent workflows via FN2 plugin for autonomous research desk management
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 56 ● no change since last check | 17 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 5 | 6 |
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| Citation Flow (Majestic) | 30 | 30 |
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| Referring domains (Majestic) | 160 | 162 |
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