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Draup

Labor and market data, built for GTM

MCPAPINative readiness
About

What is Draup

Draup pulls together global labor, skills, and market data to give sales and talent teams a structured view of accounts, industries, and workforce dynamics. It's built for Account Executives, RevOps operators, and GTM leads at mid-market and enterprise companies who need more than basic firmographics to prioritize and work accounts. The standout capability is buyer intent and engagement intelligence — Draup surfaces signals about which accounts are actively in-market, layered on top of stakeholder mapping and industry trend analysis. It integrates natively with Salesforce, HubSpot, Workday, and Greenhouse, and is available on AWS Marketplace and Snowflake. The honest limitation: Draup skews toward larger, more complex sales motions — smaller teams or those without a dedicated RevOps function may find the depth of data harder to operationalize without significant setup investment.

Capabilities

Key features

Account research

generates per-account briefings and dossiers

Native CRM integration

first-party connectors, no middleware required

AI capabilities

autonomous multi-step actions, per-prospect AI research

Data

intent signals, firmographic + tech-stack data

Also ships

official SDK

Our verdict

Vanderbuild take

Draup sits at the intersection of account research, intent signals, and data enrichment — it's one of the few tools in this category that covers both the sales intelligence and talent analytics sides of an enterprise account, which makes it genuinely useful for GTM leads and RevOps teams running complex, multi-stakeholder deals. If you're serious about agentic outbound, this is non-negotiable: the MCP server makes Draup a strong orchestration layer for AI agents that need to pull live account, labor, or intent data mid-workflow. Pricing is not publicly listed, which almost always means enterprise procurement is involved — budget accordingly and expect a sales-assisted onboarding process. The depth of data is real, but that same depth means smaller or less-resourced teams will struggle to extract value without a dedicated operator who knows how to configure and query the platform.

Mateusz Sekta
Founder, vanderbuild
The wedge

Agentic stack profile

MCP server
Yes

Live MCP server — agents can call this tool directly.

Draup's MCP connects labor market and sales data to copilots and LLMs, offering AI-Native Intelligence. Authentication is handled via OAuth 2.1 with dynamic client registration over Streamable HTTP transport.

Open MCP →
API
REST

Programmatic access available.

REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.

API docs →
Agentic readiness
Native

Built for agents from the ground up.

MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.

Stack role
Researcher · Signal source · Enricher

Where this tool slots into an agentic pipeline.

Plays the role of Researcher + Signal source + Enricher in an agentic pipeline. Use it to generate per-account briefings and qualification dossiers; surface buying intent — funding, hiring, job changes, web visits.

Compare

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Answers

Frequently asked questions

Does Draup have an MCP server?

Yes — Draup exposes a Model Context Protocol server. Draup's MCP connects labor market and sales data to copilots and LLMs, offering AI-Native Intelligence. Authentication is handled via OAuth 2.1 with dynamic client registration over Streamable HTTP transport. See the MCP docs at https://mcp.draup.technology/mcp?product-id=4.

Does Draup have a public API?

Yes — Draup ships a REST API. Docs: https://draup.com/talent/data/api.

Who is Draup best for?

Draup is built for Account Executive, RevOps, GTM Lead. Fits Mid-market (50-500), Enterprise-sized teams.

How well does Draup fit an agentic sales stack?

Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.

Quick spec
MCP serverYes
ReadinessNative
Stack roleResearcher, Signal source, Enricher
Ideal customer
Growth stage
Scale-up · Enterprise
Company size
Mid-market (50-500) · Enterprise
Best for
Account Executive · RevOps · GTM Lead