DataLayer Vs People Data Labs Comparison (2026) | Salestools Club
CompareSide-by-Side Comparison
DataLayer logo

DataLayer

B2B data enrichment MCP server — 60M companies, 300M contacts, buying intent signals.

VS
People Data Labs logo

People Data Labs

B2B data API with 3 billion person and company records.

DataLayer
People Data Labs
API Type
REST
REST
MCP Ready
YES
NO
Free Tier
YES
YES
SDKs
None
Python, Node.js, Go, Ruby
Webhooks
NO
YES
Capabilities
Person Enrichment, Company Enrichment, Technographic Analysis, Buying Intent Signals, Email Finding, Phone Finding, People Search, Company Search

API & MCP Analysis

For AI-native operators choosing between DataLayer and People Data Labs, the decision comes down to API accessibility and how easily your agent can interface with each tool.

DataLayer has the edge here with an official MCP server, letting you connect it directly to Claude or Cursor. People Data Labs requires a REST API integration, which means your agent needs the API docs to build the connection.

DataLayer Starter Prompt

"Claude, use DataLayer to find VPs of Engineering at Series B SaaS companies using AWS and get their verified emails."

Support & Guidance

DataLayer vs People Data Labs FAQ

01

Which has a better API for AI agents — DataLayer or People Data Labs?

DataLayer offers an MCP server for direct AI agent integration. People Data Labs provides a REST API. Check the comparison table above for a full breakdown of SDKs, webhooks, and capabilities.
02

Can I connect DataLayer or People Data Labs to Claude or Cursor?

DataLayer has an official MCP server for direct connection. For People Data Labs, you can use the REST API docs with your AI agent.
03

DataLayer vs People Data Labs — which is better for sales automation?

It depends on your stack. DataLayer is "B2B data enrichment MCP server — 60M companies, 300M contacts, buying intent signals." while People Data Labs is "B2B data API with 3 billion person and company records.". Compare their API capabilities, MCP support, and pricing above to find the right fit for your workflow.