Can I use this skill with my own CSV files?

Yes, the skill supports importing CSV files to create websets, allowing you to use Exa's search and enrichment capabilities on your existing data.

What is the 'Validate, Expand, Enrich' workflow?

It is a 3-step best practice where you first test search quality with a single result, expand the count once verified, and finally add enrichments to avoid wasting credits on irrelevant data.

Which entity types can I search for?

The skill natively supports company, person, article, and research_paper entities, along with the ability to define custom entity types.

Does this skill require an Exa.ai API key?

Yes, this skill acts as an interface for the exa-ai CLI tool, which requires a valid Exa.ai account and API credentials to function.

Exa Websets Search

Name: Exa Websets Search
Author: benjaminjackson

bybenjaminjackson

•

Web Scraping y Recopilación de Datos

Manages automated web searches, structured data enrichment, and entity-based collection building using the Exa.ai engine.

Acerca de

The Exa Websets Search skill empowers Claude to build and manage high-quality websets through a specialized search engine designed for LLMs. It implements a rigorous 'Validate, Expand, Enrich' workflow that ensures data quality while optimizing credit consumption. Users can perform entity-specific searches for companies, people, or research papers, import existing CSV data for enrichment, and extract structured metadata like email addresses, URLs, and team sizes directly from the web.

Características Principales

Advanced search criteria filtering with success rate interpretation
2 GitHub stars
Structured 'Validate, Expand, Enrich' workflow to minimize credit waste
Entity-based web discovery for companies, people, and academic papers
Deep data enrichment for extracting emails, URLs, and specific text fields
CSV import capabilities to build websets from existing local datasets

Casos de Uso

Conducting automated market research to identify organizations meeting complex criteria
Enriching internal datasets with verified website URLs and contact information
Generating targeted lead lists of companies within specific growth stages or industries

Acerca de

Características Principales

Advanced search criteria filtering with success rate interpretation
2 GitHub stars
Structured 'Validate, Expand, Enrich' workflow to minimize credit waste
Entity-based web discovery for companies, people, and academic papers
Deep data enrichment for extracting emails, URLs, and specific text fields
CSV import capabilities to build websets from existing local datasets

Casos de Uso

Conducting automated market research to identify organizations meeting complex criteria
Enriching internal datasets with verified website URLs and contact information
Generating targeted lead lists of companies within specific growth stages or industries