ClaygentAI 研究代理，规模化查找并结构化网络数据

4.5 (6)

审阅者 Daniel Nikulshyn·更新 2026年5月

AI Agent Sales Intelligence Data Enrichment Web Scraping GTM Automation CRM Integration

概览

Claygent 是内嵌于 Clay 平台的 AI 驱动研究代理，能够自动化人类研究员通常会执行的在线查询。给定提示词和记录列表后，它会在网络上搜索、访问页面，并提取关于公司、人物或主题的结构化答案。它专为需要丰富数据进行潜在客户开发、线索资格审查和账户研究的 go‑to‑market 团队设计。用户可以使用自然语言提问，如“该公司是否向企业销售？”或“查找 CTO 的 LinkedIn 个人资料”，Claygent 会在成千上万行数据中返回结果。由于运行在 Clay 中，输出可以直接流入工作流、CRM 和外呼序列，将非结构化的网络研究转化为可用的销售管道数据。

主要功能

自然语言研究提示
大批量列表的批量丰富
网页浏览及页面级数据提取
面向电子表格和 CRM 的结构化输出
与 Clay 的数据提供商协同工作
自定义工作流和自动化

价格

模型: Freemium
分类: AI Agents
评分: 4.5 / 5 (6)

使用场景

批量线索资格审查

在数千条潜在客户记录上运行自然语言研究提示，以根据公司规模、行业或买家匹配度等标准对线索进行资格审查。

外呼账户研究

提问诸如“该公司是否向企业销售？”之类的问题，并将结构化答案直接导入外呼序列和 CRM 工作流。

大规模联系人发现

在长目标列表中查找特定人员，例如 CTO 的 LinkedIn 个人资料，返回可用于开发的结构化联系信息。

CRM 数据丰富

自动化网络查询，填补公司和人员记录的缺失字段，然后将丰富的结构化数据同步回 CRM。

优点 & 缺点

优点

自动化耗时的手动网络调研
一次性扩展至数千条记录
灵活的自然语言提示
与 Clay 工作流和 CRM 集成

缺点

需要 Clay 订阅
基于积分的使用在大规模时可能费用高昂
输出质量取决于提示的清晰度
偶尔出现的不准确需要人工审查

评测

4.5

6 个评分的平均值。

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Omar Haddad

Nov 27, 2025

Solid for our team

We rolled this out across the team last quarter and flexible natural-language prompts. Custom workflows and automations fits neatly into how we already work, and works alongside Clay's data providers removed a step we used to do by hand. Output quality depends on prompt clarity, which is the main caveat, but it has held up under daily use.

Aaliyah Johnson

Nov 10, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: structured outputs for spreadsheets and CRMs and automates time-consuming manual web research. Where it lags: requires a Clay subscription. On balance the feature set — especially bulk enrichment across large lists — justifies the 4 stars for our use case.

Robert Ainsworth

Aug 15, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: custom workflows and automations and scales to thousands of records at once. On balance the feature set — especially works alongside Clay's data providers — justifies the 5 stars for our use case.

Elena Rossi

Aug 8, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is works alongside Clay's data providers — handled better than most — and flexible natural-language prompts. Occasional inaccuracies require human review is my one real gripe. Worth the time if this is your use case.

Devin Walker

Jul 13, 2025

Does the job

Pretty happy overall. Structured outputs for spreadsheets and CRMs just works and automates time-consuming manual web research. Credit-based usage can get expensive at scale can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Hiroshi Tanaka

Jun 11, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: bulk enrichment across large lists and automates time-consuming manual web research. On balance the feature set — especially structured outputs for spreadsheets and CRMs — justifies the 5 stars for our use case.