> For the complete documentation index, see [llms.txt](https://docs.airops.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.airops.com/actions/workflow-concepts/workflow-steps/content-quality/scan-content-for-plagiarism.md).

# Scan Content for Plagiarism

The "Scan Content for Plagiarism" step allows you to check text for potential plagiarism by comparing it against billions of web pages, academic papers, and other published sources. This powerful tool uses Originality.ai's advanced plagiarism detection technology to help you ensure content originality and avoid copyright issues.

### How to Configure the Scan Content for Plagiarism Step

* **Content**: Input the content you'd like to analyze
* **Domain to Exclude (optional)**: Enter a URL to exclude from the analysis. This is typically your domain given that there is a high likelihood of content overlap between this content and your domain's existing content.

### Output Format

The Scan Content for Plagiarism step returns a JSON object containing detailed analysis results:

```json
{
  "success": true,
  "disclaimer": "If you are trying to scan content that is under 50 words in length, you will run into AI accuracy issues.",
  "public_link": "https://app.originality.ai/share/[ID]",
  "title": "API V1 Scan",
  "total_text_score": "93%",
  "results": [
    {
      "phrase": "phrase one",
      "results": [
        {
          "link": "example.com",
          "title": "title",
          "scores": [
            {
              "score": 1.0000000000000002,
              "sentence": "sentence one"
            }
          ],
          "timestamps": {
            "date_modified": "2024-02-26",
            "date_published": "2024-02-26"
          }
        }
      ]
    },
    
    // Additional results here
    
  ],
  "credits_used": 10,
  "credits": 123,
  "subscription": 123,
  "content": "content here",
  "id": [id]
}
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.airops.com/actions/workflow-concepts/workflow-steps/content-quality/scan-content-for-plagiarism.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.