Skip to main content
Exa’s company search indexes 50M+ companies, updated weekly, and supports natural language queries across industry, funding stage, headcount, geography, and technology. Read the blog post: Introducing Exa’s Company Search Benchmark
For agentic list-building and enrichment out of the box, use Websets →.

​
When to Use

If you’re building:
  • A GTM intelligence or lead-generation platform
    • Build targeted company lists by industry, headcount, geography, and funding stage
    • “Series A fintech companies in Switzerland with 50–200 employees”
    • “Japanese AI companies founded in 2023”
  • A finance or investment research tool
    • Source deals, map competitive landscapes, and track funding rounds
    • “agtech companies that raised Series A in the US”
    • “startups that raised 30M to 80M”
  • A competitive intelligence or market-mapping workflow
    • Discover emerging players and alternatives in a space
    • “companies like Stripe”
    • “competitors of Notion”
  • A consulting or professional services engagement
    • Research industries, identify vendors, and build market scans for client deliverables
    • “German enterprise SaaS companies with more than 500 employees”

​
Basic Usage

curl -X POST https://api.exa.ai/search \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "Agtech companies optimizing pesticide placement with computer vision",
    "category": "company",
    "type": "auto",
    "numResults": 10
  }'

​
Structured Entity Metadata

Company Search returns structured company metadata in entities for result rows that resolve to a company. Each company entity has type: "company", a stable id, a schema version, and a properties object with company profile fields. 
{
  "results": [
    {
      "title": "Example AI",
      "url": "https://www.example.ai",
      "entities": [
        {
          "id": "company_...",
          "type": "company",
          "version": 1,
          "properties": {
            "name": "Example AI",
            "foundedYear": 2021,
            "description": "AI infrastructure company for enterprise search.",
            "workforce": { "total": 120 },
            "headquarters": {
              "address": "123 Market Street",
              "city": "San Francisco",
              "postalCode": "94105",
              "country": "United States"
            },
            "financials": {
              "revenueAnnual": null,
              "fundingTotal": 42000000,
              "fundingLatestRound": {
                "name": "Series B",
                "date": "2025-03-15",
                "amount": 30000000
              }
            },
            "webTraffic": {
              "visitsMonthly": 250000,
              "countryRank": 12000,
              "avgDurationSeconds": 180,
              "history": [
                { "value": 250000, "dateFrom": "2026-04", "dateTo": "2026-04" }
              ]
            }
          }
        }
      ]
    }
  ]
}
Try it now: Company Search in the API Playground →