Find alumni contacts

Filter on education to match a school, degree or year, then count the people you can reach. Sizing is free.

education reads the education section of a person's profile. You give it a school name, and add the job level, function and country you want from that school's alumni.

The filter

Case did not matter in our test: stanford university returned the same count as Stanford University. Length did. A shorter phrase, Stanford, matched more people than the full name. Check the facets before you trust a short phrase.

How many you can reach

Three live counts from leadocean_count_leads, run on 2026-10-01. Each count is mailable people: verified, catch_all_valid or catch_all email, the tool's default. It spent no records.

Counts are small because only profiles that list a school can match. Add a second school and the count grows: ["Stanford University", "MIT"] with the same C-Team and US filters returned 1,130.

The same free call returns facets, so you can see who is in the list without opening a record. The first count above breaks down like this.

Run it from an AI agent

Connect the MCP server at https://api.leadocean.io/mcp (OAuth sign-in, no key pasted), then ask in plain words.

Find Stanford alumni who are C-level at US companies. Count them first, then show me 25.

The agent counts first with the free tool, then calls leadocean_search_leads with this:

{
  "education": ["Stanford University"],
  "jobLevel": ["C-Team"],
  "country": ["US"],
  "limit": 25
}

The search costs 1 record per person returned. Use leadocean_search_companies when you want companies, not people. It also costs 1 record per company.

Run it with the API

One flat JSON body to POST /v1/people/search. Filters are arrays of strings.

curl -X POST "https://api.leadocean.io/v1/people/search" \
  -H "x-api-key: $LEADOCEAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "education": ["Stanford University"],
    "jobLevel": ["C-Team"],
    "country": ["US"],
    "limit": 25
  }'

For the free sizing call, put count=true in the URL (not the body) and set limit to 1.

curl -X POST "https://api.leadocean.io/v1/people/search?count=true" \
  -H "x-api-key: $LEADOCEAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "education": ["Stanford University"],
    "jobLevel": ["C-Team"],
    "country": ["US"],
    "emailStatus": ["verified", "catch_all_valid", "catch_all"],
    "limit": 1
  }'

data comes back empty and meta.countOnly is true. meta.total stops at 100,000 on the REST API.

Export the list

POST /v1/exports takes the same filters inside a filters object. One export is up to 50,000 rows, and an account can export 500,000 rows a day.

curl -X POST "https://api.leadocean.io/v1/exports" \
  -H "x-api-key: $LEADOCEAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "stanford-c-level-us",
    "filters": {
      "education": ["Stanford University"],
      "jobLevel": ["C-Team"],
      "country": ["US"]
    },
    "limit": 776,
    "preset": "search"
  }'

Poll GET /v1/exports/{id}, then download. Prefer clicking? The Exports page in the app at app.leadocean.io has the filter builder, a column picker, the record price before you start, and a CSV download.

Combine it

• Add jobFunction (for example ["Sales & Business Development"]) and jobLevel to reach alumni who buy. The MBA count above uses Finance & Accounting. See find people.
• Add industry, employeeRange or hqCountry to pick the company. Alumni at 11-50 person companies are a different list from alumni at 10001+. See find companies.
• Add keywords (for example ["founder"]) to match words in the person's own headline or summary. For another way to reach a person, see find an email from a Twitter handle.

More ways to build a list are in the lead sources hub.

FAQ