| What it does | Structured AI decisions with probabilities for developers
| 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 | 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 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 | - 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
| - 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 | - 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
| - 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) | 13 ▲ +1 (up) since last check | 17 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 0 | 6 |
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| Citation Flow (Majestic) | 23 | 30 |
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| Referring domains (Majestic) | 59 | 162 |
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Jev Model