exa

Name: exa
Availability: InStock
Author: vibecode

Perform semantic web searches and extract content via the Exa API.

1|2|Updated Feb 28, 2026

Search Tags:#research #web search #web scraping #content extraction #websets #AI answers #entity sourcing

Ready to run

npx skills add https://github.com/vibecode/Skillsforagent --skill exa-vibecode

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: exa
Source: https://github.com/vibecode/Skillsforagent/tree/main/Foundational/exa
Command: npx skills add https://github.com/vibecode/Skillsforagent --skill exa-vibecode

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides powerful web search, content extraction, and AI-powered answers, enabling deep research and data synthesis directly from the web.

Core Features & Use Cases

Web Search: Perform semantic, deep, or fast searches with advanced filtering.
Content Extraction: Extract full text, highlights, or summaries from URLs.
AI Answers & Research: Get search-grounded answers or run multi-step async research tasks.
Websets: Source, verify, and enrich entities at scale.
Use Case: Research the latest trends in renewable energy by performing a deep search, extracting key findings from top articles, and synthesizing the information into a concise report.

Quick Start

Use the exa skill to search the web for 'latest advancements in AI safety research'.

Frequently Asked Questions about exa

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

FAQPage Schema

How do I perform semantic web search and extract full text content from URLs?▼

Semantic web search and content extraction are performed through the Exa API, which supports retrieving full text, highlights, or summaries from URLs. It enables deep research by filtering search results and synthesizing information directly from web pages.

What is the best way to source and verify large-scale entities from the web?▼

The best way to source and verify large-scale entities is using the Websets platform. Websets enables asynchronous entity discovery at scale, allowing you to source, verify, and enrich data points through automated multi-step research workflows.

Can I get AI-generated answers with citations directly from web search results?▼

Yes, you can get AI-generated answers with citations directly from web search results. The capability provides search-grounded answers by synthesizing extracted web content, enabling direct information retrieval without manual reading.

Does this web scraping and research capability work with OpenAI-compatible chat interfaces?▼

Yes, this web scraping and research capability integrates with OpenAI-compatible chat interfaces. This allows you to leverage deep content extraction, AI answers, and multi-step asynchronous research workflows directly within your existing chat applications.

What are the differences between fast, deep, and semantic search for web research?▼

Fast search retrieves information quickly, deep search performs comprehensive analysis for thorough research, and semantic search understands contextual meaning. These web search modes allow filtering results to extract relevant content like summaries or full text.

When should I use asynchronous multi-step research workflows instead of standard web search?▼

Use asynchronous multi-step research workflows instead of standard web search when synthesizing complex topics requiring multiple data points. These workflows handle large-scale entity sourcing and deep content extraction that exceed single-query search limitations.