# Build a US Brand Evidence Chronology

**Use case:** 

Give dated evidence rows; get a deterministic timeline with effective dates, observation dates, ordering, and source attribution.

## Input

```json
{
  "schemaVersion": "1.0",
  "asOf": "2026-08-05T09:00:00Z",
  "rows": [
    {
      "evidenceId": "nike-offer-001",
      "eventType": "offer",
      "effectiveAt": "2026-08-04T12:00:00Z",
      "observedAt": "2026-08-04T12:30:00Z",
      "sourceUrl": "https://www.nike.com/news/example",
      "fact": "A submitted source reports a US offer change."
    },
    {
      "evidenceId": "nike-award-001",
      "eventType": "award",
      "effectiveAt": "2026-08-04T12:00:00Z",
      "observedAt": "2026-08-04T13:00:00Z",
      "sourceUrl": "https://www.usaspending.gov/award/example",
      "fact": "A submitted source lists an award associated with the brand."
    }
  ]
}
```

## Output

```json
{
  "schemaVersion": {
    "label": "Schema version",
    "format": "text"
  },
  "asOf": {
    "label": "As of",
    "format": "date"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "chronology": {
    "label": "Chronology",
    "format": "array"
  },
  "sameTimeGroups": {
    "label": "Same-time groups",
    "format": "array"
  },
  "futureDatedEvidenceIds": {
    "label": "Future-dated IDs",
    "format": "array"
  },
  "timestampWarnings": {
    "label": "Timestamp warnings",
    "format": "array"
  },
  "counts": {
    "label": "Counts",
    "format": "object"
  },
  "inputDigest": {
    "label": "Input SHA-256",
    "format": "text"
  },
  "chronologyDigest": {
    "label": "Chronology SHA-256",
    "format": "text"
  },
  "reportDigest": {
    "label": "Report SHA-256",
    "format": "text"
  }
}
```

## About this Actor

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