# compliance archive | PII Scanner

**Use case:** 

compliance archive preset for Dataset PII & Sensitive Data Exposure Scanner. Replace the example values with the dataset or baseline used by your workflow.

## Input

```json
{
  "items": [
    {
      "name": "A",
      "email": "a@example.com"
    }
  ],
  "maxItems": 10000,
  "maxSamples": 20,
  "failRunOnIssue": false,
  "monthlyRuns": 1,
  "previousAnalysis": {}
}
```

## Output

```json
{
  "ok": {
    "label": "Ok",
    "format": "string"
  },
  "risk_score": {
    "label": "Risk Score",
    "format": "string"
  },
  "findings_count": {
    "label": "Findings Count",
    "format": "string"
  },
  "detector_counts": {
    "label": "Detector Counts",
    "format": "string"
  },
  "fields_flagged": {
    "label": "Fields Flagged",
    "format": "string"
  },
  "masked_samples": {
    "label": "Masked Samples",
    "format": "string"
  },
  "issues": {
    "label": "Issues",
    "format": "array"
  },
  "executiveDecision": {
    "label": "Executive decision",
    "format": "string"
  },
  "decisionConfidenceScore": {
    "label": "Decision confidence score",
    "format": "number"
  },
  "baselineAvailable": {
    "label": "Baseline available",
    "format": "boolean"
  },
  "regressionDetected": {
    "label": "Regression detected",
    "format": "boolean"
  },
  "estimatedEconomicImpactUsd": {
    "label": "Estimated economic impact (USD)",
    "format": "number"
  },
  "recommendedAction": {
    "label": "Recommended action",
    "format": "string"
  },
  "decisionMetric": {
    "label": "Decision metric",
    "format": "string"
  },
  "decisionMetricDelta": {
    "label": "Decision metric delta",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Dataset PII & Sensitive Data Exposure Scanner](https://apify.com/quanmatrix/dataset-pii-exposure-scanner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/quanmatrix/dataset-pii-exposure-scanner.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/quanmatrix/dataset-pii-exposure-scanner.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
