Autonomous AI research agents that deliver scheduled briefings on SEC filings, earnings, and market data with cited sources
Portable context for terminal coding agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Freemium
Open source
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
Context Ledger for curating admitted instructions, files and memory
Deterministic context admission before model processing
Workflows with Mother agent team design and checking
Love Spot drawing board with Matilda companion
Desktop app with theme customization
Support for GPT, Claude and Gemini models
Terminal and desktop app sharing state
Portable context for terminal coding agents
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
Deterministic context admission ensures agents see processed context before model receives it
Context Ledger provides transparent curation of agent inputs
Mother agent orchestrates multi-agent workflows with checking and merged results
Elpis