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Captain Data

Fresh B2B data, piped anywhere

MCPAPINative readiness
About

What is Captain Data

Captain Data fetches, enriches, and extracts B2B data in real time by automating scraping across LinkedIn and other web sources, exposing the results through a structured API. It's built for GTM Engineers, RevOps teams, and GTM Leads at mid-market and enterprise companies who need to move large volumes of contact and firmographic data without manual intervention. The standout capability is pulling full employee lists for any company on demand — useful for building account-level coverage maps or feeding headcount signals into scoring models. Pricing starts at €600/month for 20,000 credits, which makes it a mid-budget commitment; teams running low-volume pilots or one-off enrichment jobs will find the credit model adds up quickly before they see meaningful scale.

Capabilities

Key features

Data enrichment

fills records with firmographic, technographic, or signal data

Native CRM integration

first-party connectors, no middleware required

Data

verified emails, mobile phones, real-time enrichment, firmographic + tech-stack data

Our verdict

Vanderbuild take

Captain Data sits at the infrastructure layer of data enrichment and prospecting — it's the tool you reach for when you need to automate LinkedIn scraping, enrich at volume, and pipe the output into your CRM or AI workflow without stitching together brittle workarounds. If you're serious about agentic outbound, this is non-negotiable: the MCP server makes it especially usable as an orchestration layer for AI agents, and the native API means you can wire it into any stack without UI dependency. Budget for an experienced operator — vanilla setup leaves value on the table, and the credit-based pricing at €600/month entry means you'll want someone who can optimize query patterns before the bill scales. The integration surface is thin outside HubSpot and Google Sheets, so if your stack runs on Salesforce or a custom CRM, expect to do that plumbing yourself via API.

Mateusz Sekta
Founder, vanderbuild
The wedge

Agentic stack profile

MCP server
Yes

Live MCP server — agents can call this tool directly.

Allows AI assistants such as Claude, Cursor, and ChatGPT to perform B2B data tasks including searching for people, enriching LinkedIn profiles with verified emails, finding company details, and retrieving company employees using natural language.

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
Enricher · Data source

Where this tool slots into an agentic pipeline.

Plays the role of Enricher + Data source in an agentic pipeline. Use it to add firmographic, technographic, and signal data to a lead row on the fly; source contacts, companies, and the raw inputs an agent needs to act.

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Answers

Frequently asked questions

Does Captain Data have an MCP server?

Yes — Captain Data exposes a Model Context Protocol server. Allows AI assistants such as Claude, Cursor, and ChatGPT to perform B2B data tasks including searching for people, enriching LinkedIn profiles with verified emails, finding company details, and retrieving company employees using natural language. See the MCP docs at https://www.captaindata.com/mcp.

Does Captain Data have a public API?

Yes — Captain Data ships a REST API. Docs: https://docs.captaindata.com/v1/introduction.

How much does Captain Data cost?

Captain Data: pricing is usage-based, expect higher tier ($$$) spend. Full pricing page: https://www.captaindata.com/pricing.

Who is Captain Data best for?

Captain Data is built for GTM Engineer, RevOps, GTM Lead. Fits Mid-market (50-500), Enterprise-sized teams.

How well does Captain Data 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 roleEnricher, Data source
Pricing
Usage-based
$$$
Vendor pricing →
Ideal customer
Growth stage
Scale-up · Enterprise
Company size
Mid-market (50-500) · Enterprise
Best for
GTM Engineer · RevOps · GTM Lead