Articles on: Developer API

Detector API

Try it Out



You can test out the API without code by going to the FastAPI link with your web browser: https://ai-detect.undetectable.ai/docs

Authentication



Undetectable.AI uses API keys to allow access to the API. You can get your API key at the top of the page in our developer portal.

UD expects for the API key to be included in all API requests to the server in a request body that looks like the following:

key: YOUR API KEY GOES HERE

You must replace YOUR API KEY GOES HERE with your personal API key.


AI Detector



Threshold
This endpoint returns a "result" score from 1-100. For best accuracy, any score under 50 is considered definitely human. 50-60 is possible AI. Over 60 is definite AI. This is the most accurate result, with 99%+ accuracy. The scores for other detectors, such as Writer and Copyleaks, are approximate and not as accurate as the main "result" score.

Detect



This endpoint allows you to submit text for AI detection. At least 200 words are recommended for best accuracy.

POST https://ai-detect.undetectable.ai/detect

Example Request



curl -X 'POST' \
  'https://ai-detect.undetectable.ai/detect' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "text": "Citizen science involves the public participating in scientific research. This can take many forms, collecting data on local wildlife populations to analyzing astronomical images. Citizen science projects allow researchers to gather large amounts of data and engage the public in the process. By participating, individuals contribute to valuable research while gaining a deeper understanding of the scientific world around them.",
  "key": "YOUR-API-KEY-GOES-HERE",
  "model": "xlm_ud_detector",
  "retry_count": 0
}'


Here, the request input must be less than 30,000 words.

Example Response



{
    "id": "77565038-9e3d-4e6a-8c80-e20785be5ee9",
    "input": "Citizen science involves the public participating in scientific research. This can take many forms, collecting data on local wildlife populations to analyzing astronomical images. Citizen science projects allow researchers to gather large amounts of data and engage the public in the process. By participating, individuals contribute to valuable research while gaining a deeper understanding of the scientific world around them.",
    "model": "xlm_ud_detector",
    "result": null,
    "result_details": null,
    "status": "pending",
    "retry_count": 0
}


The response contains the server-assigned ID of the document. At this point the document is now enqueued for processing. You can use the /query API endpoint to query the status of the AI Detection request. The average time to complete an AI Detection check is between 2-4 seconds. It may take longer depending on word count.


Query



This endpoint accepts a document id returned by the /detect request. And returns the status of the document submission as well as the result of the AI Detection operation as handled by various third-party AI detectors.

POST https://ai-detect.undetectable.ai/query

Example Request



curl -X 'POST' \
  'https://ai-detect.undetectable.ai/query' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "id": "DOCUMENT-ID-GOES-HERE"
}'


Example Response



{
    "id": "77565038-9e3d-4e6a-8c80-e20785be5ee9",
    "model": "xlm_ud_detector",
    "result": 88.0,
    "result_details": {
        "scoreGptZero": 50.0,
        "scoreOpenAI": 0.0,
        "scoreWriter": 0.0,
        "scoreCrossPlag": 0.0,
        "scoreCopyLeaks": 50.0,
        "scoreSapling": 0.0,
        "scoreContentAtScale": 0.0,
        "scoreZeroGPT": 50.0,
        "human": 88.0
    },
    "status": "done",
    "retry_count": 0
}


Here, "result": 88.0 means that given our 50% threshold, the text is AI-generated. Similarly, "scoreZeroGPT": 50.0 signifies that the text is likely 50% human-written as per ZeroGPT. The Same goes for the rest of the other detectors.


Check User Credits



This endpoint accepts the users apikey via the header. And returns users credit details.

GET https://ai-detect.undetectable.ai/check-user-credits

Example Request



curl -X 'POST' \
  'https://ai-detect.undetectable.ai/query' \
  -H 'apikey: YOUR API KEY GOES HERE' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \


Example Response



{
    "baseCredits": 10000,
    "boostCredits": 1000,
    "credits": 11000
}



Sentence Level AI Detection


The sentence-level AI Detector runs on top of a WebSocket-based protocol.

Here are the necessary steps needed to get sentence-level results for your text.
- Connect to the WebSocket
- Listen for all events received from the WebSocket
- Send a document_watch request
- Receive a document_id event
- Take the id generated by the document_id response and submit a document for AI Detection
- Start receiving document_chunk events. document_chunk events will return each sentence together with the sentence-level result
- When the document finishes processing, you will receive a document_done event.

This section will describe the necessary steps to connect, send a document for processing, and listen to the sentence stream until it finishes.

Connect to the WebSocket



This endpoint allows you to establish the WebSocket connection

POST https://ai-detect.undetectable.ai/ws/$USER_ID

Example code:

ws = new WebSocket("wss://https://ai-detect.undetectable.ai/ws/1722238709737x2194626580942121212");


Listen for all events received from the WebSocket



Once the WebSocket connection is established, listen to events sent through the WebSocket connection.

Example code:
ws.addEventListener("message", (event) => {
  console.log("Message from server ", event.data);
});


Send a document_watch request



Send interest in sending a document by sending a document_watch request on the WebSocket

Example code:
ws.send(JSON.stringify({
    "event_type": "document_watch",
    "api_key": "$API_KEY",
}))


Receive a document_id event



After sending a document_watch event, the server returns a document_id event.

Example response:
{
  "event_type": "document_id", 
  "success": true, 
  "document_id": "512da191-166926922-44cb-81c6-191ae3a807aa"
}


Submit an AI Detection Request



Take the id generated by the document_id response and submit a document for AI Detection

POST https://ai-detect.undetectable.ai/detect

Example Request



curl -X 'POST' \
  'https://ai-detect.undetectable.ai/detect' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "text": "Citizen science involves the public participating in scientific research. This can take many forms, collecting data on local wildlife populations to analyzing astronomical images. Citizen science projects allow researchers to gather large amounts of data and engage the public in the process. By participating, individuals contribute to valuable research while gaining a deeper understanding of the scientific world around them.",
  "key": "YOUR-API-KEY-GOES-HERE",
  "model": "xIm_ud_detector",
  "id": "512da191-166926922-44cb-81c6-191ae3a807aa"
}'


Example Response



{
    "id": "512da191-166926922-44cb-81c6-191ae3a807aa",
    "input": "Citizen science involves the public participating in scientific research. This can take many forms, collecting data on local wildlife populations to analyzing astronomical images. Citizen science projects allow researchers to gather large amounts of data and engage the public in the process. By participating, individuals contribute to valuable research while gaining a deeper understanding of the scientific world around them.",
    "model": "xIm_ud_detector",
    "result": null,
    "result_details": null,
    "status": "pending",
    "retry_count": 0
}


Receive sentence level results



Start receiving document_chunk events. document_chunk events will return each sentence together with the sentence level result

Example responses:
{
    "event_type": "document_chunk",
    "document_id": "512da191-166926922-44cb-81c6-191ae3a807aa"
    "model": "xIm_ud_detector",
    "chunk": "Citizen science involves the public in scientific research.",
    "result": 0.714
}


When the document finishes processing, you will receive a document_done event.

Example responses:
{
    "event_type": "document_done",
    "document_id": "512da191-166926922-44cb-81c6-191ae3a807aa"
    "model": "xIm_ud_detector"
}


Below is an example sequence as returned by the WS stream.

Example Document Stream

Handling exceptional circumstances



If for some reason the server encounters an error while doing the humanization, a document_error event will be sent to the websocket client. The client should act as appropriate, for example a UI will show an error message.

For example, the server will send a REQUEST_TIMEOUT error code when it takes more than 20 seconds across chunk events.
{
    "event_type": "document_error",
    "document_id": "512da191-166926922-44cb-81c6-191ae3a807aa"
    "error_code": "REQUEST_TIMEOUT",
    "message": "Request timeout. Took 20 seconds.",
}


Cancellations



There will be instances when the UI would want to cancel the operation. The user decides to close the window, or cancels the event explicitly
When this happens you should sent a document_halt event

Example responses:
{
    "event_type": "document_halt",
    "document_id": "512da191-166926922-44cb-81c6-191ae3a807aa"
}



Errors



Most errors will be from incorrect parameters being sent to the API. Double check the parameters of each API call to make sure it's properly formatted, and try running the provided example code.

The generic error codes we use conform to the REST standard:

Error CodeMeaning
400Bad Request -- Your request is invalid.
403Forbidden -- The API key is invalid, or there aren't sufficient credits (0.1 per word).
404Not Found -- The specified resource doesn't exist.
405Method Not Allowed -- You tried to access a resource with an invalid method.
406Not Acceptable -- You requested a format that isn't JSON.
410Gone -- The resource at this endpoint has been removed.
422Invalid Request Body -- Your request body is formatted incorrectly or invalid or has missing parameters.
429Too Many Requests -- You're sending too many requests! Slow it down!
500Internal Server Error -- We had a problem with our server. Try again later.
503Service Unavailable -- We're temporarily offline for maintenance. Please try again later.


Common Issues and Solutions



Authentication Issues



"User verification failed" (403)


- Cause: Invalid or expired API key
- Solution:

Verify your API key is correct

Check if your API key is active in your account

Try regenerating your API key

"Not enough credits" (403)


- Cause: Insufficient credits for text processing
- Solution:

Check your remaining credits using /check-user-credits

Purchase additional credits if needed

Use shorter text inputs to consume fewer credits

Input Validation Issues



"Input text cannot be empty" (400)


- Cause: Empty or whitespace-only text submitted
- Solution:

Ensure your text input is not empty

Remove any leading/trailing whitespace

Check if text encoding is correct

"Input email is empty" (400)


- Cause: Missing email for URL processing
- Solution:

Provide a valid email address when submitting URLs

Check email format is correct

Processing Issues



"Request timeout" (WebSocket)


- Cause: Document processing took too long (>120 seconds)
- Solution:

Try with a smaller text input

Check if the service is experiencing high load

Retry the request

Document Status "failed"


- Cause: Processing failed for various reasons
- Solution:

Check if input text meets minimum requirements

Verify text is in a supported format

Try with a different model

Contact support if issue persists

WebSocket Connection Issues



Connection Drops


- Cause: Network issues or server disconnects
- Solution:

Check your network connection

Implement reconnection logic

Verify WebSocket URL is correct

"User not found" (WebSocket)


- Cause: Invalid user ID in WebSocket connection
- Solution:

Verify user ID is correct

Ensure user account is active

Re-authenticate if needed

Updated on: 03/04/2025

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