What problem does it solve?
Parallel-cli solves the problem of turning messy, multi-step web research into structured, agent-ready outputs—so you can search, extract, research, enrich, discover entities, and monitor sources without constantly switching tools or manually post-processing results.
Core Features & Use Cases
- Agent-native web research workflows: launch deep research jobs, poll for progress, and retrieve final reports with consistent structure.
- Extraction and deep content retrieval: fetch and extract clean text or targeted information from specific URLs for accurate downstream summaries.
- Enrichment, FindAll, and monitoring: enrich datasets with additional fields, generate discovered entity lists (datasets), and set up change monitoring for ongoing tracking.
Quick Start
Ask: "Use parallel-cli to run research on 'Compare the leading AI coding agents by pricing, model support, and enterprise controls' and return the results as JSON."