What types of B2B data and insights can DataLayer provide?

DataLayer offers verified contact details (emails, phone, LinkedIn), comprehensive company profiles (tech stack, funding, revenue, headcount), and actionable buying intent signals (ad spend, web traffic, hiring velocity).

How frequently is the data in DataLayer updated?

Contact data is re-verified every 90 days, ensuring high accuracy. Company data, including firmographics and technographics, is refreshed on a monthly basis.

Do I need to write code to use DataLayer with my AI agent?

No. DataLayer integrates with MCP-compatible AI agents like Claude and Cursor, allowing you to access B2B data using natural language queries without writing any code.

How does DataLayer handle credit usage for searches and failed lookups?

Enrichments and search results typically cost 1 credit per item, while intent signals are 5 credits. Importantly, failed lookups (404s) are free, and purchased credits never expire.

Which AI agents and platforms are compatible with DataLayer?

DataLayer is compatible with any Model Context Protocol (MCP) client, including Claude Desktop, Claude Code, Cursor, Windsurf, Cline, and Continue.

DataLayer

Name: DataLayer
Author: datalayer-sh

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Empower AI agents to enrich B2B leads by finding work emails, phone numbers, company data, tech stacks, and buying intent signals from a database of over 60 million companies and 300 million contacts.

DataLayer

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The DataLayer MCP server acts as a powerful bridge, empowering AI agents like Claude and Cursor to directly access a vast B2B database of over 60 million companies and 300 million verified contacts. It enables agents to perform complex data enrichment tasks, such as finding work emails, discovering company tech stacks, identifying buying intent signals, and researching comprehensive company profiles, all through natural language commands without requiring traditional API calls or code. This integration allows AI agents to reason about structured B2B data, automating prospecting, CRM enrichment, and market analysis workflows.

主な機能

010 GitHub stars

02Seamless integration with MCP-compatible AI agents like Claude, Cursor, and Windsurf via natural language queries

03Access detailed company intelligence including technographics across 16 categories and departmental headcount breakdowns

04Discover and enrich over 300M verified contacts with emails, phone numbers, and LinkedIn URLs

05Research comprehensive profiles for 60M+ companies including industry, headcount, revenue, funding, and tech stack

06Identify actionable buying intent signals such as Google Ad Spend, web traffic, hiring velocity, and employee growth

ユースケース

01Building targeted lead lists, enriching CRM data, and identifying buying intent for Sales and Go-To-Market teams.

02Sourcing candidates, mapping organizational charts, and tracking hiring signals for Recruiters.

03Performing due diligence, deal sourcing, and market mapping for Investors and Analysts.