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Claygent

university.clay.com/lessons/enriching-with-cla… AI Learning & Guides Website

This Clay University lesson explains using Claygent for go-to-market automation.

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About Claygent

This Clay University lesson teaches users how to use Claygent, Clay's AI web scraper, for go-to-market (GTM) automation. It explains that Claygent pulls real-time, dynamic context directly from the web, acting as a virtual research assistant to solve the "last mile data problem" where niche, ICP-specific data is not available from standard static enrichment providers. The lesson outlines input requirements for company and people enrichment, provides a step-by-step guide for running company enrichment, lists common use cases, and shares tips for effective use.

Key features

  • AI web scraper acting as virtual research assistant for real-time web insights
  • Solves last mile data problem for niche ICP-specific data
  • Enriches both company and people data at scale
  • Supports custom prompts with optional Meta prompter assistance
  • Uses tiered credit models for queries of varying complexity
  • Offers optional confidence and reasoning columns for result transparency
Best for: Sales and go-to-market teams seeking to automate manual prospect research and access niche, real-time data not available from standard enrichment providers.
Good for
  • Pulls real-time, dynamic web data that static enrichment providers do not offer
  • Automates manual last-mile research to reduce time spent on data entry
  • Supports custom prompts to extract niche, ICP-specific data points
Watch out for
  • Requires a company domain as a minimum input for company enrichment
  • Requires a LinkedIn profile URL as a minimum input for people enrichment

Claygent at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026
university

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Claygent FAQ

What is Claygent?
Claygent is Clay's AI web scraper that pulls real-time, dynamic web context to act as a virtual research assistant for scaled data enrichment.
What is the 'last mile data problem' Claygent addresses?
It refers to niche, ICP-specific data too specialized for standard static enrichment providers to collect, which typically requires manual research.
What is the minimum input required to enrich company data with Claygent?
A company domain is required; optional helpful inputs include LinkedIn company profile URL, category tags, or segments.
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Listing maintained by Chris McClure and the WebIndexly editors · Updated Oct 13, 2026 · How we rank