Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.
continue <interaction_id> List recent research python3 scripts/research.py --list Output Formats Default : Human-readable markdown report JSON ( --json ): Structured data for programmatic use Raw ( --raw ): Unprocessed API response Cost & Time Metric Value Time 2-10 minutes per task Cost $2-5 per task (varies by complexity) Token usage ~250k-900k input, ~60k-80k output Best Use Cases Market analysis and competitive landscaping Technical literature reviews Due diligence research Historical research and timelines Comparative analysis (frameworks, products, technologies) Workflow User requests research → Run --query "..." Inform user of estimated time (2-10 minutes) Monitor with --stream or poll with --status Return formatted results Use --continue for follow-up questions Exit Codes 0 : Success 1 : Error (API error, config issue, timeout) 130 : Cancelled by user (Ctrl+C)