Premium LinkedIn Page Insights

Give it a LinkedIn company page, get back growth trends, hiring patterns and employee distribution.

What it does

• Returns deep insights for a LinkedIn company — growth trends, hiring patterns, employee distribution.
• Accepts a LinkedIn id, a full LinkedIn URL, or a company name as the identifier.
• Makes two API calls under the hood — one to resolve the identifier to a company, one to fetch the insights. That is why it costs more than the other company tools.
• It is the most detailed and most expensive company tool in the catalogue.

Top of the cost ladder: enrich_linkedin_page at 0.5 credits, enrich_organization at 2, this at 3. Run it on a shortlist, not a raw list.

Parameters

How to use it

Enrich these 200 LinkedIn company pages with enrich_linkedin_page. Keep only
the ones with more than 200 employees.

Now run premium_linkedin_page_insights on the 18 companies that passed. Report
credits used.

For each of those 18, tell me whether headcount and hiring are growing or
shrinking, and which department is expanding fastest.

Example prompts

Best prompting practices

• Shortlist first. Never point this at an unfiltered list. Qualify with enrich_linkedin_page at 0.5 credits, then escalate.
• Say what you want out of it. “Growth trends and hiring patterns” gets a usable summary; “enrich this company” gets a data dump.
• Do not use it for a single field. If you only want a department headcount, headcount_by_department is 2 credits and answers directly.
• Prefer the LinkedIn URL. The resolve step is one of the two API calls — giving it an exact id or URL leaves less room for a wrong match.
• Cap the batch. “Stop after 20 and report credits used.” At 3 credits a call this is the fastest way to spend a balance.

Output

{
  "identifier": "linkedin.com/company/stripe",
  "headcount_trend": "growing",
  "hiring_pattern": { "open_roles_trend": "up" },
  "employee_distribution": { "Engineering": 41, "Sales": 18 }
}

Credits and limits

3 credits per call, flat. Run check_credits (free) before a large batch.

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• TAM Sourcing — workflows that chain this tool into account research

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.