Find People

Describe the person you want, get back matching professional profiles from across many companies.

What it does

• Searches people across many companies at once. Data comes from Crustdata.
• No single parameter is required, but a call with no filters has nothing to search on — pass at least one.
• Filters stack. Combining role, headcount and location narrows a broad search into a usable list.
• Returns 25 profiles by default, up to 100 per call. Page through larger result sets with cursor.
• Cost scales with results — 0.3 credits per profile returned. A default page of 25 costs 7.5 credits; a full page of 100 costs 30.

It returns profiles. It does not return emails or phone numbers — chain find_work_email for those.

To list people at one company you already know, use find_people_within_company instead. It takes a domain and bills a flat 0.3 credits rather than 0.3 per result.

Parameters

Nothing is strictly required. Pass at least one filter from the families below — they are listed in the order the tool accepts them.

Role

Company

Company size

Location

Tenure and experience

Education

Skills

Network

Signals

Paging

How to use it

Find VP Sales and Head of Sales at Privately Held SaaS companies with
51-200 employees in the United States. Limit 25.

Same search, but only people who have been in the role at least 1 year
and have a verified business email.

Get the next page using the cursor from that result. Stop after 3 pages
and tell me how many credits you used.

For the 10 best matches, find work emails and verify them.

Example prompts

Best prompting practices

• Always pass a filter. A search with nothing to match on still bills 0.3 credits for every profile it returns, and returns noise.
• Use domains, not company names. current_company_domains is exact. Names are easy to get wrong.
• Use the exact enum strings. c_suite and vp are the accepted seniority values — “C-level” and “Vice President” are not.
• Set limit deliberately. limit is the cost dial — every profile returned is 0.3 credits. Ask for the number you will actually work, not the maximum.
• Cap the paging. “Stop after 3 pages” prevents a broad search from walking the whole result set. Three pages of 100 is 300 profiles and 90 credits.
• Search first, enrich second. Filter down to the profiles you want before spending credits on emails or phones.

Output

{
  "profiles": [
    {
      "name": "Jane Doe",
      "title": "VP Sales",
      "company": "Stripe",
      "location": "San Francisco, United States",
      "linkedin_url": "https://linkedin.com/in/janedoe"
    }
  ],
  "next_cursor": "eyJwYWdlIjoyfQ"
}

Credits and limits

0.3 credits per profile returned. limit accepts 1–100 and defaults to 25, so a default call costs 7.5 credits and a full page costs 30. Each extra page fetched with cursor bills the same way.

Run check_credits (free) before a long paging run.

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• MCP use cases — search-to-outreach workflows
• AI for Sales Reps — workflows that chain this tool into a list build

Keep learning

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