get jobs

The state of background work: generation, render, language change, imports, subject reads behind a crop, file reads (transcript, index, shot log, prompt), and a desktop app’s reads and uploads. With no ids: every job running, with its prompt, model, target item and who started it. With ids: those jobs, once all finish or wait_seconds passes. A waiting job carries its queue place and eta_seconds left where past runs agree; cost_credits is its cost so far, a finished job’s cloud_minutes what it used. A finished generation, render or PDF carries its item id, url and a link; a render short of a picture lists it in not_drawn; a finished language change carries timeline_id; a finished prompt read analysis and moments; a job asked to replace a timeline clip carries clip_landing: pending, then landed or not_landed with the reason. Unknown ids are left out. Free.

POST

tools

get_jobs

get jobs

curl --request POST \
  --url https://eversince.ai/api/v1/tools/get_jobs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "ids": [
    "<string>"
  ],
  "wait_seconds": 12
}
'

import requests

url = "https://eversince.ai/api/v1/tools/get_jobs"

payload = {
    "ids": ["<string>"],
    "wait_seconds": 12
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({ids: ['<string>'], wait_seconds: 12})
};

fetch('https://eversince.ai/api/v1/tools/get_jobs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "ok": true,
  "data": {},
  "meta": {
    "request_id": "<string>",
    "cost": {},
    "cloud_processing": {
      "ran_on": "cloud",
      "minutes": 123,
      "charged_minutes": 123,
      "queued_minutes": 123,
      "left_minutes": 123,
      "held_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  },
  "media": [
    {}
  ]
}

{
  "ok": false,
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "suggested_action": "<string>",
    "cloud_processing": {
      "ran_on": "cloud",
      "minutes": 123,
      "charged_minutes": 123,
      "queued_minutes": 123,
      "left_minutes": 123,
      "held_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  }
}

Authorizations

Authorization

string

header

required

An API key (es_live_…) from Settings, under API keys, or an OAuth access token.

Headers

Idempotency-Key

string

Retry a paid dispatch safely: the same key returns the job already dispatched instead of charging again.

x-workspace-id

string

The workspace this one call acts in, when it is not the default: for a key or a connected agent, one of the workspaces the user allowed it.

Body

application/json

ids

string[]

Job ids as returned by the call that dispatched them (the job id, not the item id it produces). Omitted: everything still running.

Required array length: 1 - 100 elements

wait_seconds

integer

With ids: wait for them to finish, up to this many seconds (max 25, default 20); 0 reads once. Ignored without ids.

Required range: 0 <= x <= 25

Response

Done, or a job started for work that runs longer (follow it with get_jobs).

any

required

data

object

required

meta

object

required

Show child attributes

media

object[]

get jobs

curl --request POST \
  --url https://eversince.ai/api/v1/tools/get_jobs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "ids": [
    "<string>"
  ],
  "wait_seconds": 12
}
'

import requests

url = "https://eversince.ai/api/v1/tools/get_jobs"

payload = {
    "ids": ["<string>"],
    "wait_seconds": 12
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({ids: ['<string>'], wait_seconds: 12})
};

fetch('https://eversince.ai/api/v1/tools/get_jobs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "ok": true,
  "data": {},
  "meta": {
    "request_id": "<string>",
    "cost": {},
    "cloud_processing": {
      "ran_on": "cloud",
      "minutes": 123,
      "charged_minutes": 123,
      "queued_minutes": 123,
      "left_minutes": 123,
      "held_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  },
  "media": [
    {}
  ]
}

{
  "ok": false,
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "suggested_action": "<string>",
    "cloud_processing": {
      "ran_on": "cloud",
      "minutes": 123,
      "charged_minutes": 123,
      "queued_minutes": 123,
      "left_minutes": 123,
      "held_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  }
}

Discovery

Timeline

Workspace

Library

Canvas

Generation

Research

Account

Models

Uploads

Webhooks

get jobs

Authorizations

Headers

Body

Response