What problem does it solve? Gathering comprehensive equity research requires juggling multiple expensive data sources—financial metrics, SEC filings, insider trades, news, and social sentiment—then synthesizing them into a coherent investment view. This Skill consolidates all of that through AIsa's unified API platform at $0.02-0.10 per analysis instead of thousands per month. ## Core Features & Use Cases - Complete Financial Data: Fetch real-time metrics, historical prices, financial statements, analyst estimates, insider trades, institutional ownership, and SEC filings for any US ticker. - Multi-Source Intelligence: Aggregate company news, web search results, academic research, Twitter sentiment, and YouTube earnings content in one report. - Multi-Model AI Analysis: Generate investment summaries, sentiment scores, and valuation assessments using GPT-4, Claude, Gemini, and other LLMs. - Flexible Depth Modes: Choose quick (~10s), standard (~20s), or deep (~30s) analysis depending on cost and coverage needs. - Use Case: Run a deep analysis on NVDA before earnings to get key metrics, insider activity, sentiment breakdown, and a 12-month price target in a single JSON report. ## Quick Start Set the AISA_API_KEY environment variable and ask the assistant to analyze a stock ticker such as AAPL using the stock_analyst.py script with standard depth.
