# Summarize US Brand Signals

**Use case:** 

Give signals for one or more brands; get a bounded summary of active events, severity, freshness, sources, and next-step counts.

## Input

```json
{
  "schemaVersion": "1.0",
  "rows": [
    {
      "signalId": "nike-launch-001",
      "brandName": "Nike",
      "eventType": "product_launch",
      "severity": "high",
      "status": "active",
      "observedAt": "2024-02-29T12:00:00Z",
      "sourceUrl": "https://example.com/nike-launch"
    },
    {
      "signalId": "nike-price-001",
      "brandName": "Nike",
      "eventType": "price_change",
      "severity": "medium",
      "status": "resolved",
      "observedAt": "2024-03-01T12:00:00Z",
      "sourceUrl": "https://example.com/retail/nike-price"
    },
    {
      "signalId": "apple-risk-001",
      "brandName": "Apple",
      "eventType": "risk",
      "severity": "critical",
      "status": "active",
      "observedAt": "2024-03-02T12:00:00Z",
      "sourceUrl": "https://example.org/apple-risk"
    },
    {
      "signalId": "apple-review-001",
      "brandName": "Apple",
      "eventType": "review",
      "severity": "low",
      "status": "active",
      "observedAt": "2024-03-03T12:00:00Z",
      "sourceUrl": "https://example.org/apple-review"
    }
  ]
}
```

## Output

```json
{
  "totalSignals": {
    "label": "Signals",
    "format": "number"
  },
  "brandCount": {
    "label": "Brands",
    "format": "number"
  },
  "brandSummaries": {
    "label": "Brand summaries",
    "format": "json"
  },
  "attribution": {
    "label": "Attribution",
    "format": "text"
  },
  "inputDigest": {
    "label": "Input SHA-256",
    "format": "text"
  },
  "resultDigest": {
    "label": "Result SHA-256",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [US Brand Signal Brand Summary](https://apify.com/zinin/us-brand-signal-brand-summary) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zinin/us-brand-signal-brand-summary) to learn more, explore other use cases, and run it yourself.