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 when built-in search tools are not enough. ## 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 for results and chain follow-up questions via previous interaction IDs. - Enrichment, FindAll, and Monitoring: Enrich CSV/JSON datasets with web-derived columns, discover entities at web scale, and track pages for changes over time. - Use Case: A user asks to compare AI coding agents on pricing and enterprise controls; the agent launches an async research run, continues other work, polls for completion, and summarizes the report with citations from returned URLs. ## Quick Start Ask the agent to use parallel-cli to search for a topic with JSON output, for example by requesting a cited summary of the latest news about a specific company.