publish to feed

Put a timeline or a canvas on the workspace feed as one post, drawn live from the document with nothing rendered: a timeline plays where it sits, a project of clips as its clips, a canvas as its slides. The post follows every later edit. A cut_clips set is posted as one post when it is cut, and a clip’s own id reaches that post; a single clip has no post of its own. Publishing one already up answers with the post it has, already_up: true. resolved: true folds the post to its line, false opens it; hide: true takes it off the feed. Free.

POST

/

tools

/

publish_to_feed

publish to feed

curl --request POST \
  --url https://eversince.ai/api/v1/tools/publish_to_feed \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "timeline_id": "<string>",
  "canvas_id": "<string>",
  "hide": true,
  "resolved": true,
  "context": "<string>"
}
'

import requests

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

payload = {
    "timeline_id": "<string>",
    "canvas_id": "<string>",
    "hide": True,
    "resolved": True,
    "context": "<string>"
}
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({
    timeline_id: '<string>',
    canvas_id: '<string>',
    hide: true,
    resolved: true,
    context: '<string>'
  })
};

fetch('https://eversince.ai/api/v1/tools/publish_to_feed', 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,
      "queued_minutes": 123,
      "left_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,
      "queued_minutes": 123,
      "left_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 key's own.

Body

application/json

timeline_id

string

The timeline, or any clip of a project. Give this or canvas_id.

canvas_id

string

The canvas. Give this or timeline_id.

hide

boolean

Take the post off the feed instead of publishing. The work stays.

resolved

boolean

Fold the post to its line (true) or open it again (false), instead of publishing. The work stays.

context

string

Optional: one sentence shown to the user beside this action.

Maximum string length: 600

Response

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

ok

any

required

data

object

required

meta

object

required

Show child attributes

media

object[]

publish to feed

curl --request POST \
  --url https://eversince.ai/api/v1/tools/publish_to_feed \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "timeline_id": "<string>",
  "canvas_id": "<string>",
  "hide": true,
  "resolved": true,
  "context": "<string>"
}
'

import requests

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

payload = {
    "timeline_id": "<string>",
    "canvas_id": "<string>",
    "hide": True,
    "resolved": True,
    "context": "<string>"
}
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({
    timeline_id: '<string>',
    canvas_id: '<string>',
    hide: true,
    resolved: true,
    context: '<string>'
  })
};

fetch('https://eversince.ai/api/v1/tools/publish_to_feed', 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,
      "queued_minutes": 123,
      "left_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,
      "queued_minutes": 123,
      "left_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  }
}