Autonomous AI research agents that deliver scheduled briefings on SEC filings, earnings, and market data with cited sources
Spend control for AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Freemium
Paid
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).
Starter $11/month for 1 user and up to 3 devices with spend caps, kill switch, loop detection, 30 days of history and email alerts. Pro $22/month for up to 5 members and 10 devices with everything in Starter plus Slack and Discord alerts, shared team budgets, 1 year of history and invoice reconcilia
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
Loop detection to catch runaway 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
Local by default with provider keys staying on your machine
Cost reserved before requests reach the provider to prevent overages
Works offline with local caps and kill switch continuing to function
Supports multiple models and providers including Claude, OpenAI and Anthropic
Team controls with scoped device access and shared budgets
Leash