Octagon AI

Orchestrates all agents for comprehensive market intelligence analysis. Capabilities: Combines insights from SEC filings, earnings calls, financial metrics, stock data, institutional holdings, private company research, funding analysis, M&A transactions, investor intelligence, debt analysis, and news and press releases to provide holistic market intelligence. Best for: Complex research requiring multiple data sources and comprehensive analysis across public and private markets. Example queries: 'Retrieve year-over-year growth in key income-statement items for AAPL, limited to 5 records and filtered by period FY', 'Analyze the latest 10-K filing for AAPL and extract key financial metrics and risk factors', 'Retrieve the daily closing prices for AAPL over the last 30 days', 'Analyze AAPL's latest earnings call transcript and extract key insights about future guidance', 'Provide a comprehensive overview of Stripe, including its business model and key metrics', 'Retrieve the funding history for Stripe, including all rounds and investors'

A comprehensive agent that can utilize multiple sources for deep research analysis. Capabilities: Aggregate research across multiple data sources, synthesize information, and provide comprehensive investment research. Best for: Investment research questions requiring up-to-date aggregated information from the web. Example queries: 'Research the financial impact of Apple's privacy changes on digital advertising companies' revenue and margins', 'Analyze the competitive landscape in the cloud computing sector, focusing on AWS, Azure, and Google Cloud margin and growth trends', 'Investigate the factors driving electric vehicle adoption and their impact on battery supplier financials'

A specialized agent for creating research reports on Kalshi events (Polymarket coming soon). See what's driving prices, compare market vs model probabilities, and find potential mispricings. Note: It's recommended to attempt to retrieve a cached report first as new reports may take several minutes to generate. Example queries: 'https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100', 'https://kalshi.com/markets/kxnbawest/nba-western-conference-championship/kxnbawest-26', 'https://kalshi.com/markets/kxtrdban/congress-banned-from-trading-stocks/kxtrdban-25dec31'

Fetch historical data for a prediction market event by ticker. Supports pagination (limit, cursor) and time window (captured_from, captured_to) and optionally include analysis columns. Note: For a typical Kalshi Market URL, the event ticker is the final segment in the URL. For example, for the URL https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100, the event ticker is kxbtcy-27jan0100.