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Data Enrichment Tools

Captain Data Review (2026): B2B People and Company API

Captain Data review: what the people and company data API does, how credits are priced, who it suits, and when a no-code prospecting tool is a better fit.

Pros

  • ✓ Clean REST API for people and company enrichment, search, and lookup
  • ✓ Simple credit model: most enrichment calls cost 1 credit per record
  • ✓ MCP server makes the data usable inside AI agents and assistants

Cons

  • ✕ Developer-focused: no point-and-click workflow builder for sales reps
  • ✕ Only one plan has a published price; larger volumes need a sales call
  • ✕ Unused monthly credits do not roll over

What is Captain Data?

Captain Data is a B2B data API that returns people and company data for software products, GTM platforms, and AI agents. If you remember Captain Data as a no-code “workflow automation” tool for growth teams that chained LinkedIn extraction and enrichment steps together, that is no longer how the company positions itself. As of October 2026, the product is a developer API: you send a LinkedIn profile URL, a name plus company, a domain, or a search query, and you get structured JSON back.

That shift matters if you are evaluating it for prospecting. Captain Data is now a data layer you build on, not an app your SDRs log into.

Key features

The API is organised around three kinds of endpoints:

  • Enrich: pass a LinkedIn profile or company URL and get the full person or company record back (role, company, location, firmographics).
  • Find: resolve a person or company from partial input such as a name and a domain.
  • Search: query people or companies by criteria, or list the employees of a company.

On top of that it offers an MCP (Model Context Protocol) server, so assistants such as Claude or Cursor can call the data directly, a live API console for testing, and bulk database exports on custom terms. The company states SOC 2 Type II and GDPR compliance and a 99% uptime SLA on its pricing page.

How it works in a prospecting workflow

A typical build looks like this:

  1. Define the account list. Start from your ICP: target domains from your CRM or a firmographic filter.
  2. Find the people. Call the employee or people search endpoint per domain and filter by title keywords (for example “RevOps”, “Head of Sales”).
  3. Enrich each record. Call the enrich endpoint with each LinkedIn URL to get current title, tenure, and company data.
  4. Add contact data. Captain Data focuses on profile and firmographic data, so pair it with an email finder and an email verifier before you send anything.
  5. Push to your CRM or sequencer. Write the results to HubSpot, Salesforce, or your outreach tool through your own code or an automation platform.

Steps 2 and 3 are where Captain Data does the work. Everything else is your integration code.

Pricing

As of October 2026, Captain Data prices in credits. Most enrichment calls cost 1 credit per record, “find” calls cost 2 credits per record, and search endpoints cost 1 credit per request plus 1 per result. The only plan with a published price is Silver, listed at €600 per month for 20,000 credits (shown as €29.99 per 1,000 credits). Pilot, Growth, Scale, and enterprise tiers are quoted by sales. Unused credits do not roll over month to month, and annual billing can release the yearly credit pool upfront. Check the pricing page for current numbers, because the older “$399 per month” figure you may see quoted elsewhere refers to the previous product.

Pros and cons in context

The API design is the main strength. Predictable per-record costs make it easy to model spend: enriching 5,000 contacts with 1-credit calls uses 5,000 credits, full stop. The MCP server is useful if you are building an AI SDR or research agent that needs fresh profile data.

The weaknesses follow from the same design. A sales team without engineering support cannot use it on its own, and because email and phone finding are not the core of the product, you still need a separate email finder and verifier for outbound.

Who it is for (and not for)

Good fit: product teams building data features, GTM engineers who maintain their own enrichment pipelines, and companies building AI agents that need people and company context.

Poor fit: SDR teams that want to build a list and export it to a sequencer this afternoon, or anyone looking for a Chrome extension. A no-code tool such as Evaboot or PhantomBuster is closer to that job.

Compliance notes

Captain Data states GDPR compliance, but you remain the controller for how you use personal data. If you contact EU prospects, document your legitimate interest assessment, honour opt-outs, and keep the data you store to what your outreach needs.

Alternatives

  • Clay if you want enrichment with a spreadsheet-style builder instead of code.
  • Dropcontact for GDPR-focused email enrichment of existing lists.
  • PhantomBuster for no-code LinkedIn extraction.
  • Apollo if you want a database, email finder, and sequencer in one product.

How Scrapine compares

Scrapine is built for sales and marketing teams rather than developers: you build lists with the LinkedIn scraper, then add emails and phone numbers with contact enrichment without writing code. If you need a raw API inside your own product, Captain Data is the more direct choice.

FAQ

What is Captain Data?

Captain Data is a B2B people and company data API. It provides enrichment, find, and search endpoints for people and companies, plus an MCP server for AI agents. It is aimed at developers and product teams.

Is Captain Data still a no-code automation tool?

No. As of October 2026 the company positions itself as a data API for AI products and GTM platforms. Its public site does not describe a no-code workflow builder.

How much does Captain Data cost?

Pricing is credit based. The published Silver plan is €600 per month for 20,000 credits; other tiers are quoted by sales. Most enrichment calls cost 1 credit per record.

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