Autonomous AI research agents that deliver scheduled briefings on SEC filings, earnings, and market data with cited sources
AI strategy and agentic solutions for complex business workflows
Stage
Not given
Not given
Founded
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Based in
US
AT
Pricing model
Freemium
Contact for pricing
Pricing
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).
Not given
Key features
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
Multi-agent intelligence platform
RAG-based systems and AI agents
Knowledge system design with LLMs and NLP
Data pipeline and infrastructure integration
What makes it different
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
Built by practitioners with 25+ years shipping AI in regulated, high-stakes industries
Hands-on, end-to-end service from architecture through production deployment
Solutions grounded in real organizational constraints, not generic frameworks
Multi-agent intelligence reduces blind spots through cross-validation
Knowledge preservation and strategy evolution over time