# Screen a Person for Negative News (KYC/AML)

**Use case:** 

Run an adverse media check on a person: LLM-classified negative news with the person's role, severity score and source links - KYC/AML-ready output.

## Input

```json
{
  "entityNames": [
    "Bernard Madoff"
  ],
  "entityType": "person",
  "minSeverity": "low",
  "maxHits": 25,
  "model": "deepseek/deepseek-chat"
}
```

## Output

```json
{
  "entityName": {
    "label": "Entity",
    "format": "text"
  },
  "overallRisk": {
    "label": "Risk",
    "format": "text"
  },
  "adverseHitCount": {
    "label": "Adverse Hits",
    "format": "number"
  },
  "categoriesFound": {
    "label": "Categories",
    "format": "array"
  },
  "candidatesScreened": {
    "label": "Candidates Screened",
    "format": "number"
  },
  "country": {
    "label": "Country",
    "format": "text"
  },
  "screenedAt": {
    "label": "Screened At",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Adverse Media Screener - KYC/AML Negative News Check](https://apify.com/regdata/adverse-media-screener) with a specific input configuration. Visit the [Actor detail page](https://apify.com/regdata/adverse-media-screener) to learn more, explore other use cases, and run it yourself.