# Product Dataset Quality Gate

**Use case:** 

Product Dataset Quality Gate preset for validating an Apify dataset before a downstream workflow. The inline sample keeps the public preset deterministic; replace it with datasetId or use this Actor as an integration to validate the upstream default dataset automatically.

## Input

```json
{
  "items": [
    {
      "id": 1,
      "value": "A",
      "url": "https://example.com/a"
    },
    {
      "id": 2,
      "value": "B",
      "url": "https://example.com/b"
    }
  ],
  "requiredFields": [
    "id",
    "value"
  ],
  "maxDuplicateRatePct": 0,
  "maxNullRatePct": 0,
  "minItems": 1,
  "minimumQualityScore": 85,
  "maxItems": 10000,
  "batchSize": 500,
  "uniqueFields": [
    "id"
  ],
  "expectedSchema": {
    "id": "integer",
    "value": "string"
  },
  "formatRules": {},
  "maxFormatErrorRatePct": 0,
  "failOnSchemaDrift": false,
  "failRunOnError": false,
  "itemOrder": "first",
  "itemOffset": 0,
  "validateAllItems": true
}
```

## Output

```json
{
  "passed": {
    "label": "Quality gate passed",
    "format": "boolean"
  },
  "quality_score": {
    "label": "Quality score",
    "format": "number"
  },
  "items_evaluated": {
    "label": "Items evaluated",
    "format": "integer"
  },
  "source_truncated": {
    "label": "Source truncated",
    "format": "boolean"
  },
  "required_null_rate_pct": {
    "label": "Required null rate (%)",
    "format": "number"
  },
  "duplicate_rate_pct": {
    "label": "Duplicate rate (%)",
    "format": "number"
  },
  "type_error_rate_pct": {
    "label": "Type error rate (%)",
    "format": "number"
  },
  "format_error_rate_pct": {
    "label": "Format error rate (%)",
    "format": "number"
  },
  "schema_drifted": {
    "label": "Schema drift detected",
    "format": "boolean"
  },
  "issues": {
    "label": "Issues",
    "format": "array"
  },
  "warnings": {
    "label": "Warnings",
    "format": "array"
  },
  "dataset_id": {
    "label": "Dataset ID",
    "format": "string"
  },
  "evaluated_at": {
    "label": "Evaluated at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Apify Dataset Quality Gate & Validation Integration](https://apify.com/quanmatrix/dataset-quality-gate-integration.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/quanmatrix/dataset-quality-gate-integration.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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/quanmatrix/dataset-quality-gate-integration.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).