GET
/
v1
/
jobs
/
{id}
Get Job
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.
{
  "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
}