Data sources & integrations

What ships built in. And what you connect.

GTM Goat is Go-to-Market infrastructure where agents do the work. This page lists every data source a workspace uses out of the box and every integration in the catalog, with an honest status. The list is generated from the product code, not maintained by hand.

23
built-in data sources
5
tested and connectable
93
integrations in the catalog
14
with a native adapter

For agents: the same data as JSON: /integrations.json

Built in

Data sources without an account of your own

These building blocks are ready in every workspace, as a table source or as a column. You do not need an account with any data provider; the LinkedIn sources use your connected LinkedIn account.

Find companies

Sources that bring rows into a table: every company found becomes a row, and the columns behind it enrich it.

Google Maps

Local companies by search term and location, with address, phone, website, industry and Maps link.

  • Built in
  • 1 credit per row
  • Own key possible: Apify

Job postings (Indeed)

Companies with open positions by job title and location. An open position is a hiring signal and is recorded on the company.

  • Built in
  • 1 credit per row
  • Own key possible: Apify

Job postings (LinkedIn)

Companies with open positions on LinkedIn, one row per company. Two open roles are a stronger signal, not two companies.

  • Via your LinkedIn account
  • No credits

Company pool

Take companies from an existing company base, without an external query.

  • Built in
  • No credits

Lookalike

Companies that resemble your wins, derived from the companies you already have.

  • Built in
  • No credits

Any Apify actor

Run any scraper from the Apify Store and map its fields onto company fields.

  • Built in
  • 1 credit per row
  • Own key possible: Apify

Connected data source

Connect your own database or a data provider via MCP or REST API and pull its rows straight into the table.

  • Built in
  • No credits

Webhook

Feed companies from your own systems through a webhook endpoint.

  • Built in
  • No credits

People & decision makers

The right contacts for every company, by job title and location.

Job changes

New decision makers with a target title who recently joined a company in your ICP. Runs on a schedule.

  • Via your LinkedIn account
  • No credits

Decision-maker web research

Find owners and managing directors through web research, even without a LinkedIn profile.

  • Built in
  • Depends on research depth, price shown before the run
  • Own key possible: Research Agent

Managing director from the imprint

Managing director, registered office, phone and email from the company website’s imprint, read without AI. The low-cost first step in the DACH region.

  • Built in
  • 0.1 credits per row

LinkedIn posts & engagement

Whoever reacts, comments or writes about your topic on LinkedIn lands in the table as a warm lead.

Post engagers

People who liked or commented on a specific LinkedIn post, and their employers.

  • Via your LinkedIn account
  • No credits

Keyword monitoring

Watch fixed keywords on LinkedIn. Authors and engagers of matching posts land as leads on a schedule.

  • Via your LinkedIn account
  • No credits

Profile monitoring

Watch the posts of one profile, for example your managing director, and capture everyone who reacts as a lead.

  • Via your LinkedIn account
  • No credits

Contact data

Find email and phone, then verify them before anything is sent.

Email and phone enrichment

Business email addresses and phone numbers for your contacts. Only a hit is charged.

  • Built in
  • 5 credits per email found, 10 per phone number
  • Own key possible: FullEnrich

Email validation

Check every address for deliverability before sending, so bounces do not cost the deliverability of every other email.

  • Built in
  • 1 credit per row
  • Own key possible: ZeroBounce

Web research & websites

Read websites and research the open web, with a structured result per row instead of raw text.

Research Agent

Deep web research per company: qualification against your ICP, buying signals, personalisation and list building. Our own product.

  • Built in
  • Depends on research depth, price shown before the run
  • Own key possible: Research Agent
More →

Website extraction

Web scraper with your prompt and your schema: reads the homepage, imprint, about, team or contact page and fills the fields per row.

  • Built in
  • 0.1 credits per row

ICP check

Reads the website and judges it against your ICP, with a confidence score per row. Uncertain cases go to a human.

  • Built in
  • 0.1 credits per row

Location (geo)

Resolve an address into a Google Maps link and coordinates.

  • Built in
  • Price shown before the run
  • Own key possible: Apify

Industry modules

Building blocks for specific industries that a general tool does not ship with.

Solar analysis

Check roofs in satellite imagery for existing PV systems and solar suitability.

  • Built in
  • 2 credits per row

Credits are only charged where a call costs the platform something: a data provider, a page fetch, an analysis. A tool call as such costs nothing. If you add the provider’s own key (BYOK), you pay the provider directly and no credits. The figures come from the product code and are guide values; the product shows the exact price of a run before it starts.

Runs through your own LinkedIn account connected to the platform.

Catalog

Integration catalog with status

CRM, sequencer, data providers: connection with your own API key or through the provider’s MCP server, costs directly with the provider. Connectable means status “Tested”.

  • Native adapter: campaigns, enrolment and sync run through a dedicated integration.
  • Connected via API key or MCP, used by agents as a tool.

Only integrations marked ✅ count as connectable. All others are in the catalog but still being verified; each has its own page with its status. Test status: 20 October 2026.

Any provider with a REST API or an MCP server can also be connected as a custom integration, even if it is not listed here.

For agents

Machine-readable, no scraping

Agents and AI assistants do not need to parse this page. The same data is available as JSON, linked in llms.txt and embedded in this page as JSON-LD.

curl https://www.cegtec.net/integrations.json

Inside the product, every workspace has its own MCP server. An agent queries the workspace’s capabilities there and sees which of these sources are connected.

Product code as of 30 September 2026

Does this fit your stack?

In the intro call we look at your CRM, your tools and your data sources, and tell you honestly which of them GTM Goat takes over.

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