What problem does it solve? It gives agents a terminal-native way to use Parallel's vendor stack for web search, content extraction, deep research, data enrichment, entity discovery, and change monitoring with JSON output and non-interactive async jobs. ## Core Features & Use Cases - Search and Extraction: Run structured web searches with domain and date filters, and extract clean markdown from URLs with optional objectives. - Async Deep Research: Launch long-running research jobs with --no-wait, then poll status and chain follow-ups via --previous-interaction-id. - Enrichment, FindAll, and Monitoring: Enrich CSV/JSON tables with web-inferred columns, discover entity datasets at web scale, and track pages over time. - Use Case: Ask the agent to compare leading AI coding agents by pricing and enterprise controls; it launches an async research run, polls for completion, and summarizes the report with citations from returned sources only. ## Quick Start Ask the agent to use parallel-cli to research a topic with JSON output and cite only the returned sources.