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parallel-cli

Run asynchronous web research jobs with JSON output via the Parallel CLI.

Updated Apr 9, 2026
Search Tags:#monitoring#cli#web research#data enrichment#entity discovery#async polling#web extraction
One-click install
npx skills add https://github.com/MarbleSodas/Mavis --skill parallel-cli-marblesodas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/MarbleSodas/Mavis/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/MarbleSodas/Mavis --skill parallel-cli-marblesodas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

parallel-cli helps you gather and structure web research results at scale, including extraction, deep multi-step research, enrichment, entity discovery, and ongoing monitoring, without manually coordinating multiple tools.

Core Features & Use Cases

  • Web search with structured output: Perform current lookups and return machine-readable JSON for reliable downstream summarization.
  • Targeted extraction from URLs: Pull clean content or specific slices from web pages using objective-driven extraction.
  • Deep research and enrichment workflows: Run longer research jobs asynchronously, then transform findings into enriched datasets (including CSV/JSON-style column inference).
  • Entity discovery and monitoring: Find large sets of entities (FindAll) and track changes over time (Monitor).

Use Case: You need a set of AI coding-agent startups that offer enterprise capabilities, then enrich the dataset with CEO and annual revenue using non-interactive JSON workflows.

Quick Start

Use parallel-cli search to retrieve structured results in JSON for your exact research question and constraints.

Frequently Asked Questions about parallel-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run async web research jobs and get JSON output?▼

Async web research jobs launch non-interactively via the CLI and return JSON-first output. You can start jobs, poll for status updates, and chain context across multi-step research runs.

What is entity discovery and how does it work for web extraction?▼

Entity discovery uses a FindAll mechanism to locate large sets of entities from web sources. It structures the extracted findings into machine-readable datasets for immediate downstream use.

Can I enrich a dataset with CEO and revenue data using CLI web search?▼

Yes, you can perform data enrichment by running targeted web search workflows that append specific fields like CEO names or annual revenue to your existing tabular datasets.

How do I monitor web pages for changes over time without manual checks?▼

Recurring change detection monitoring tracks specific web sources over time asynchronously. The CLI polls for updates and returns structured JSON alerts when changes are detected.

Does parallel-cli work for one-shot web lookups or only long research runs?▼

The tool handles both one-shot lookups and long asynchronous research runs. One-shot queries return structured JSON immediately, while complex workflows launch background jobs for polling.

What's the best way to extract specific content slices from URLs at scale?▼

Objective-driven extraction pulls clean content or specific slices from web pages at scale. It operates non-interactively and returns structured JSON with disciplined citation URLs.

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