SeeDance Tasks API Integration and Usage

The main function of the SeeDance Tasks API is to query the execution status of tasks by inputting the task ID generated by the SeeDance Video Generation API.

This document will provide detailed integration instructions for the SeeDance Tasks API, helping you easily integrate and fully utilize the powerful features of this API. With the SeeDance Tasks API, you can easily query the execution status of tasks from the SeeDance Video Generation API.

Application Process

To use the SeeDance Video Generation API, first obtain your API Token from the YuJun Console for future reference.

If you are not logged in or registered, you will be automatically redirected to the login page to invite you to register and log in, and after completion, you will be automatically returned to the current page.

One API Token can call all services on the platform without needing to apply separately for each service. The first application will grant a free quota for a trial experience; when the quota is insufficient, you can recharge the general balance in the console.

📘 Complete Documentation: SeeDance Video Generation API →

Request Example

The SeeDance Tasks API can be used to query the results of the SeeDance Video Generation API. For information on how to use the SeeDance Video Generation API, please refer to the documentation SeeDance Video Generation API.

We will take an example of a task ID returned by the SeeDance Video Generation API service to demonstrate how to use this API. Suppose we have a task ID: 20068983-0cc9-4c6a-aeb6-9c6a3c668be0, and we will demonstrate how to pass in a task ID.

Task Example Image

Setting Request Headers and Request Body

Request Headers include:

  • accept: Specifies that the response result should be in JSON format, set to application/json.
  • authorization: The key to call the API, which can be selected directly after application.

Request Body includes:

  • id: The uploaded task ID.
  • action: The operation method for the task.

Set as shown in the image below:

Code Example

You can see that various language codes have been automatically generated on the right side of the page, as shown in the image:

Some code examples are as follows:

CURL

curl -X POST 'https://api.acedata.cloud/seedance/tasks' \
-H 'accept: application/json' \
-H 'authorization: Bearer {token}' \
-H 'content-type: application/json' \
-d '{
  "id": "a6e0d456-189b-4c78-9232-2fe72166ab39",
  "action": "retrieve"
}'

Response Example

After a successful request, the API will return the detailed information of the task here. For example:

{
    "_id": "69480c5cff2676299c7b351d",
    "id": "9462ca25-468b-45a5-9e75-6f516dedcc80",
    "api_id": "44e45d2b-8754-4a93-b793-c63271335f6f",
    "application_id": "1456a4bf-e2f4-4247-9b2d-fb49effc6eca",
    "created_at": 1766329436.091,
    "started_at": 1766329436.151,
    "finished_at": 1766329518.051,
    "elapsed": 81.9,
    "credential_id": "3e20b461-f750-48d3-a1f7-3aea48d15d77",
    "request": {
        "model": "doubao-seedance-1-0-pro-250528",
        "content": [
            {
                "type": "text",
                "text": "Multiple shots. A detective enters a dimly lit room. He examines clues on the table, picking up an item from the table. The camera shifts to him in thought. --ratio 16:9"
            }
        ],
        "callback_url": "dummy"
    },
    "trace_id": "24b1b09c-5649-4290-98db-eab23e5efcac",
    "type": "videos",
    "user_id": "ad7afe47-cea9-4cda-980f-2ad8810e51cf",
    "response": {
        "success": true,
        "task_id": "9462ca25-468b-45a5-9e75-6f516dedcc80",
        "trace_id": "24b1b09c-5649-4290-98db-eab23e5efcac",
        "data": {
            "task_id": "cgt-20251221230356-sxgt7",
            "status": "succeeded",
            "video_url": "https://platform.cdn.acedata.cloud/seedance/d1c2e49e-d854-4a2e-b0c0-88e520f82e2e.mp4",
            "last_frame_url": null,
            "model": "doubao-seedance-1-0-pro-250528"
        }
    }
}

The returned result contains multiple fields, with the request field being the request body when the task was initiated, while the response field is the response body returned after the task is completed. The field descriptions are as follows.

  • id: The ID of the generated task, used to uniquely identify this generation task.
  • request: The request information in the task query.
  • response: The return information in the task query.
  • created_at: The task creation time, Unix timestamp (seconds, float).
  • started_at: The task execution start time, Unix timestamp (seconds, float).
  • finished_at: The task completion time, Unix timestamp (seconds, float). This field is not returned if the task is not completed.
  • elapsed: The time taken for task execution, in seconds (float, rounded to 3 decimal places). This field is not returned if the task is not completed.

Batch Query Operation

This is for querying task details for multiple task IDs, and unlike the above, the action needs to be selected as retrieve_batch.

Request Body includes:

  • ids: An array of uploaded task IDs.
  • action: The operation method for the task.

Set as shown in the image below:

Code Example

You can see that various language codes have been automatically generated on the right side of the page, as shown in the image:

Some code examples are as follows:

Response Example

After a successful request, the API will return the specific details of all batch tasks this time. For example:

{
    "items": [
        {
            "_id": "69480c5cff2676299c7b351d",
            "id": "9462ca25-468b-45a5-9e75-6f516dedcc80",
            "api_id": "44e45d2b-8754-4a93-b793-c63271335f6f",
            "application_id": "1456a4bf-e2f4-4247-9b2d-fb49effc6eca",
            "created_at": 1766329436.091,
            "started_at": 1766329436.151,
            "finished_at": 1766329518.051,
            "elapsed": 81.9,
            "credential_id": "3e20b461-f750-48d3-a1f7-3aea48d15d77",
            "request": {
                "model": "doubao-seedance-1-0-pro-250528",
                "content": [
                    {
                        "type": "text",
                        "text": "Multiple shots. A detective enters a dimly lit room. He examines the clues on the table, picking up an item from the table. The shot turns to him as he is deep in thought. --ratio 16:9"
                    }
                ],
                "callback_url": "dummy"
            },
            "trace_id": "24b1b09c-5649-4290-98db-eab23e5efcac",
            "type": "videos",
            "user_id": "ad7afe47-cea9-4cda-980f-2ad8810e51cf",
            "response": {
                "success": true,
                "task_id": "9462ca25-468b-45a5-9e75-6f516dedcc80",
                "trace_id": "24b1b09c-5649-4290-98db-eab23e5efcac",
                "data": {
                    "task_id": "cgt-20251221230356-sxgt7",
                    "status": "succeeded",
                    "video_url": "https://platform.cdn.acedata.cloud/seedance/d1c2e49e-d854-4a2e-b0c0-88e520f82e2e.mp4",
                    "last_frame_url": null,
                    "model": "doubao-seedance-1-0-pro-250528"
                }
            }
        },
        {
            "_id": "69480e0dff2676299c7cb98b",
            "id": "d9e576bd-ca14-4c6f-a541-f4734e941dbe",
            "api_id": "44e45d2b-8754-4a93-b793-c63271335f6f",
            "application_id": "1456a4bf-e2f4-4247-9b2d-fb49effc6eca",
            "created_at": 1766329436.091,
            "started_at": 1766329436.151,
            "finished_at": 1766329518.051,
            "elapsed": 81.9,
            "credential_id": "3e20b461-f750-48d3-a1f7-3aea48d15d77",
            "request": {
                "model": "doubao-seedance-1-0-pro-250528",
                "content": [
                    {
                        "type": "text",
                        "text": "Multiple shots. A detective enters a dimly lit room. He examines the clues on the table, picking up an item from the table. The shot turns to him as he is deep in thought. --ratio 16:9"
                    }
                ],
                "callback_url": "dummy"
            },
            "trace_id": "e3da01aa-5026-4653-8d07-c68c4fcf466a",
            "type": "videos",
            "user_id": "ad7afe47-cea9-4cda-980f-2ad8810e51cf",
            "response": {
                "success": true,
                "task_id": "d9e576bd-ca14-4c6f-a541-f4734e941dbe",
                "trace_id": "e3da01aa-5026-4653-8d07-c68c4fcf466a",
                "data": {
                    "task_id": "cgt-20251221231109-cnkhp",
                    "status": "succeeded",
                    "video_url": "https://platform.cdn.acedata.cloud/seedance/eb99ba03-178c-4616-8d19-e625fee2e884.mp4",
                    "last_frame_url": null,
                    "model": "doubao-seedance-1-0-pro-250528"
                }
            }
        }
    ],
    "count": 2
}

Return results contain multiple fields, among which items include the specific details of batch tasks, and the specific information of each task is the same as the fields above.

  • items, all specific details of batch tasks. It is an array, and each element of the array has the same format as the return result of querying a single task above.
  • count, the number of tasks in this batch query.

CURL

curl -X POST 'https://api.acedata.cloud/seedance/tasks' \
-H 'accept: application/json' \
-H 'authorization: Bearer {token}' \
-H 'content-type: application/json' \
-d '{
  "ids": ["9462ca25-468b-45a5-9e75-6f516dedcc80","d9e576bd-ca14-4c6f-a541-f4734e941dbe"],
  "action": "retrieve_batch"
}'

Error Handling

When calling the API, if an error occurs, the API will return the corresponding error code and message. For example:

  • 400 token_mismatched: Bad request, possibly due to missing or invalid parameters.
  • 400 api_not_implemented: Bad request, possibly due to missing or invalid parameters.
  • 401 invalid_token: Unauthorized, invalid or missing authorization token.
  • 429 too_many_requests: Too many requests, you have exceeded the rate limit.
  • 500 api_error: Internal server error, something went wrong on the server.

Error Response Example

{
  "success": false,
  "error": {
    "code": "api_error",
    "message": "fetch failed"
  },
  "trace_id": "2cf86e86-22a4-46e1-ac2f-032c0f2a4e89"
}

Conclusion

Through this document, you have learned how to use the SeeDance Tasks API to query all specific details of single or batch tasks. We hope this document can help you better integrate and use this API. If you have any questions, please feel free to contact our technical support team.

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