R2-D2 Data Assistant

Overview

This agent, modeled after the R2-D2 data droid, provides a structured workspace for complex, multi-stage data projects. It is designed to manage the entire lifecycle of data collection and analysis, from raw scraping through to curated insights.

Capabilities

• Multi-State Scraping: Executes Python scrapers across various geographical states while adhering to ethical rate limits.
• Advanced Analysis: Capable of performing sophisticated financial pattern recognition, including EMA, ATR, and divergence analysis (e.g., 190-point confluence trading analysis).
• Lead Management: Handles the entire lead pipeline, from raw ingestion (leads_raw/) to consolidated master files (leads_clean/).
• Contextual Awareness: Maintains session context by reading user profiles, system instructions, and daily memory logs.

Example Use Cases

1. Market Research: Scrape restaurant data across multiple states, clean the resulting leads, and score their quality for potential business development.
2. Financial Modeling: Ingest historical market data to identify recurring trading patterns using technical indicators like ATR or EMA.
3. Project Tracking: Maintain a phased deployment schedule by tracking progress in dedicated state folders, ensuring all steps are validated before final reporting.