alterlab-parallel-web

Web search and content extraction for academic research are performed using Parallel Web Systems APIs to retrieve focused excerpts, verify citations, and synthesize information. The skill outputs synthesized results with inline sources for literature gathering.

Generating a multi-source deep research report with citations is achieved by running a deep research query that aggregates multiple sources. The skill produces structured, multi-source reports suitable for academic, market, or technical writing with inline citations.

A PARALLEL_API_KEY is required to authenticate and use the web search and URL content extraction features. The skill relies on the Python SDKs for search and extract APIs, which necessitate this key for rapid information gathering.

Extracting full content or focused excerpts from specific URLs for citation verification is fully supported. The skill uses the Parallel Web extract API to retrieve targeted content, enabling accurate knowledge synthesis and source validation for research workflows.

This web research tool works effectively for market analysis, technical documentation, and academic writing. It applies deep research capabilities to current events, reviews, and data-rich investigations, delivering synthesized results with inline sources across these domains.

Web search results may fail to synthesize into a structured report if the PARALLEL_API_KEY is missing or invalid, or if the Python SDKs for search and extract APIs encounter connectivity issues. Ensure dependencies are correctly configured for successful multi-source research.