# Apify Store Event Price Distribution Summary

**Use case:** 

Analyze public event-price distributions for a designated cohort. Get min, median, and max statistics without synthetic data interference.

## Input

```json
{
  "schemaVersion": "1.0",
  "requestId": "price-001",
  "maxResults": 10,
  "freshnessMinutes": 60,
  "detailLevel": "compact",
  "query": "store analytics",
  "categories": [
    "MCP_SERVERS"
  ],
  "eventSelector": "non_start"
}
```

## Output

```json
{
  "reportType": {
    "label": "Report",
    "format": "text"
  },
  "generatedAt": {
    "label": "Generated at"
  },
  "sampleConfidence": {
    "label": "Sample confidence"
  },
  "query": {
    "label": "Query",
    "format": "text"
  },
  "eventSelector": {
    "label": "Selector",
    "format": "text"
  },
  "priceObservationCount": {
    "label": "Observations",
    "format": "number"
  },
  "priceStats": {
    "label": "Price stats"
  },
  "recommendation": {
    "label": "Recommendation"
  },
  "opportunity": {
    "label": "Opportunity"
  },
  "samples": {
    "label": "Samples"
  }
}
```

## About this Actor

This example demonstrates how to use [Apify Pricing Benchmark Advisor](https://apify.com/zinin/apify-pricing-benchmark-advisor) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zinin/apify-pricing-benchmark-advisor) to learn more, explore other use cases, and run it yourself.