GET
/
v1
/
jobs
/
{id}
curl --request GET \
  --url https://mango.sievedata.com/v1/jobs/{id} \
  --header 'X-API-Key: <api-key>'
{
  "id": "506f3a2d-cae1-4a84-b816-f9e189a15cf0",
  "workflow_id": "85c9563b-cc53-45e6-b993-508efaee9802",
  "time": {
    "queued":"2023-02-13T02:02:57.015000",
    "started":"2023-02-13T04:34:48.949000",
    "completed":"2023-02-13T04:38:17.853000"
  },
  "status": "finished",
  "error": "",
  "user_inputs": {
    "image": {
      "url": "https://www.incimages.com/uploaded_files/image/1920x1080/getty_481292845_77896.jpg"
    }
  },
  "data": ["a man sitting at a table with a laptop "],
  "types":["builtins.str"],
  "next_offset":-1
}

This endpoint returns a JSON object with information about the job along with its outputs.

​
Request

id
string
required

id of the job

​
Response

id
string

The id of the job.

workflow_id
string

The id of the workflow that the job belongs to.

time
dict

The times when the job was queued, started, and completed.

status
string

The status of the job. Can be “queued”, “started”, “finished”, or “error”.

user_inputs
dict

The inputs that the user provided to trigger the job.

data
list

The outputs of the job. Populated as the job progresses, and can be polled for updates.

types
list

The types of the outputs of the job. Populated as the job progresses, and can be polled for updates.

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