Find companies by technology

Filter on technologies or technologyCategories, then count the people you can reach. Sizing is free.

Both filters read what LeadOcean detected on a company's own website. You pick the product, or the job the product does, and add the people you want at those companies.

The filter

Coverage is the catch. Detection runs on websites we crawled, about 7.8M companies, roughly an eighth of the 63M in the database. Companies we never crawled cannot match. The last crawl in our category list is dated 2026-09-07.

Category strings are exact. Customer data platform works. CDP does not.

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.

These are people at matching companies, not a company count. Lowercase shopify returned the same 20,028.

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 C-level people at US companies with 11 to 50 employees that run Shopify. Size it first, then show me 25.

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

{
  "technologies": ["Shopify"],
  "jobLevel": ["C-Team"],
  "country": ["US"],
  "employeeRange": ["11-50"],
  "limit": 25
}

The search costs 1 record per person returned. Use leadocean_search_companies instead 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 '{
    "technologies": ["Shopify"],
    "jobLevel": ["C-Team"],
    "country": ["US"],
    "employeeRange": ["11-50"],
    "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 '{
    "technologies": ["Shopify"],
    "jobLevel": ["C-Team"],
    "country": ["US"],
    "employeeRange": ["11-50"],
    "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. POST /v1/companies/search takes the same two filters.

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": "shopify-c-level-us",
    "filters": {
      "technologies": ["Shopify"],
      "jobLevel": ["C-Team"],
      "country": ["US"],
      "employeeRange": ["11-50"]
    },
    "limit": 5000,
    "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 employeeRange (for example ["51-200"]) to pick a company size. See find companies by headcount.
• Add jobFunction and jobLevel to reach one buyer. Sales & Business Development plus VP and Director is the second count above.
• Add minLastFundingYear and fundingType (for example ["Series A"]) to keep recently funded companies. See find new companies.

More ways to build a company list are on the find companies hub.

FAQ