post
https://api.explorium.ai/v1/businesses/stats
Fetch stats for businesses.
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Endpoint: POST /businesses/stats
POST /businesses/statsDescription
The Fetch Business Statistics endpoint provides aggregated insights into businesses by industry, revenue, employee count, and geographic distribution. It enables users to analyze market trends, segment industries, and gain a high-level overview of business activity within specified parameters.
Coverage
| Attribute | Coverage Details |
|---|---|
| Total Businesses Analyzed | 80M+ businesses across 150+ countries |
| Industry Breakdown | Distribution across 50+ industry categories |
| Revenue Distribution | Aggregated revenue insights, ranging from $1M-$10T+ |
| Company Size Analysis | Categorized by employee count (1-10, 11-50, 51-200, etc.) |
| Geographic Segmentation | Supports regional and country-level filtering |
How It Works
* Input: Define filter parameters such as industry, region, and company size.
- Processing: The system aggregates data across relevant datasets to generate statistics.
- Output: A structured response with key insights into business distribution and segmentation.
Query Parameters
| Parameter | Type | Description |
|---|---|---|
filters | Object | Defines the filtering criteria for statistics retrieval (e.g., country, industry) |
region_country_code | Array | Filters businesses by specific regions within countries (e.g., us-ca, us-ga) |
company_size | Array | Filters by number of employees (e.g., 1-10, 11-50, 51-200) |
Example Request (cURL)
curl --request POST \
--url https://api.explorium.ai/v1/businesses/stats \
--header 'Content-Type: application/json' \
--header 'accept: application/json' \
--header 'api_key: key' \
--data '{
"filters": {
"region_country_code": {
"type": "includes",
"values": [
"us-ca",
"us-ga",
"us-ut"
]
},
"company_size": {
"type": "includes",
"values": [
"1-10",
"11-50",
"51-200"
]
}
}
}'Example Response
{
"total_results": 29229,
"stats": {
"business_categories_per_location": {
"Software company": {
"California, US": 22093,
"Georgia, US": 4898,
"Utah, US": 2031,
"total": 29022
},
"Computer software store": {
"California, US": 160,
"Georgia, US": 33,
"Utah, US": 12,
"total": 205
},
"total_per_location": {
"California, US": 22255,
"Georgia, US": 4931,
"Utah, US": 2043,
"total": 29229
}
}
}
}Schema Explanation
| Field | Type | Description |
|---|---|---|
filters | Object | Defines the filtering criteria for the statistics request. |
total_results | Number | Total number of businesses included in the statistics. |
stats | Object | Contains breakdowns by category, revenue, employees, and locations. |
Best Practices
* Use targeted filters to focus on specific industries or regions.
- Combine multiple attributes (e.g.,
region_country_code+company_size) for in-depth segmentation. - Utilize aggregated insights to optimize marketing strategies and market analysis.
🔎 Note on Filter Usage
- All available business filters (e.g.,
region_country_code,company_size, etc.) can be applied in this endpoint. - Only one category filter can be used per request: choose from either
Google category,LinkedIn industry, orNAICS code. Combining them is not supported.
📌 Explore the sections below for more details on filtering options and advanced query examples.
Body Params - Try Me Example
filters:
region_country_code: us-ca, us-ga, us-ut
company_size: 1-10, 11-50, 51-200
Note: For any unused filter, set `negate` (boolean) as empty instead of `false`, as it defaults to `false`.