What problem does it solve? It gives agents terminal-native access to Parallel's web search, extraction, deep research, enrichment, entity discovery, and monitoring APIs when built-in search tools are not sufficient. ## Core Features & Use Cases - Structured Web Search & Extraction: Run searches with domain filters, recency filters, and JSON output, or extract clean markdown from URLs with objectives. - Async Deep Research: Launch multi-step research jobs with processor tiers, poll for completion, and chain follow-up questions via previous interaction IDs. - Enrichment, FindAll & Monitoring: Enrich CSV/JSON tables with web-researched columns, discover entity datasets at web scale, and track pages for changes over time. - Use Case: Ask the agent to compare leading AI coding agents by pricing and enterprise controls; it launches an async research job, polls for the result, and summarizes the report with citations. ## Quick Start Ask the agent to research a topic using Parallel, for example: run a deep research job comparing AI coding agents and summarize the findings with cited sources.