Plagiarism & AI Detection API for your own apps

Send text from your own app and get plagiarism scores with matching sources and per-sentence AI verdicts back as JSON — the same checks as our web app.

• REST + JSON
• OpenAPI 3.1 spec
• Included in every paid plan

1. 1

   Create an API key

   In the web app, open Settings › API keys. A key is shown once and stored only as a hash.

2. 2

   Submit text

   POST the text and the checks you want to /scans. You get a scan ID back immediately.

3. 3

   Poll for results

   GET /scans/{id} until it is completed — typically 30–90 seconds. Results arrive per tool.

POST/scans

Submit text for checking. Send text and tools (plagiarism, ai_detect or both) and an optional name. Returns 202 straight away with the scan id, word count and words charged.

GET/scans/{id}

Get a scan’s status (pending, processing, completed or failed), progress per tool, and results as each tool finishes. Add ?include_text=true to get the submitted text back.

GET/scans

List your scans, newest first, with page and limit (up to 100 per page).

GET/account

Your plan, words used and remaining this month, purchased word balance, the longest text your plan accepts, and when your allowance resets.

curl -X POST https://app.plagiarismcheckerplus.com/api/public/v1/scans \
  -H "Authorization: Bearer $PCP_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "The text you want to check (at least 30 words for plagiarism, 50 for AI detection).",
    "tools": ["plagiarism", "ai_detect"],
    "name": "essay-draft-1"
  }'

HTTP/1.1 202 Accepted

{
  "id": "3f6c1e2a-8b4d-4c9e-9a17-2d5b8f0c7e41",
  "status": "processing",
  "wordCount": 800,
  "wordsCharged": 1600,
  "tools": ["plagiarism", "ai_detect"]
}

curl https://app.plagiarismcheckerplus.com/api/public/v1/scans/3f6c1e2a-8b4d-4c9e-9a17-2d5b8f0c7e41 \
  -H "Authorization: Bearer $PCP_API_KEY"

{
  "id": "3f6c1e2a-8b4d-4c9e-9a17-2d5b8f0c7e41",
  "status": "completed",
  "tools": ["plagiarism", "ai_detect"],
  "results": {
    "plagiarism": {
      "score": 12.5,
      "uniqueSources": 2,
      "sources": [
        {
          "url": "https://example.org/article",
          "domain": "example.org",
          "matchPercentage": 8.1,
          "matchedText": "The passage from your text that matched.",
          "excerpt": "Surrounding text from the source page."
        }
      ]
    },
    "aiDetection": {
      "score": 64,
      "summary": "…",
      "sentences": [
        { "text": "A sentence from your text.", "probability": 0.93, "offset": 0, "length": 26 }
      ]
    }
  }
}

Full schemas, error codes, a Node.js example and an interactive console are in the API docs. The raw OpenAPI spec is at openapi.json.