get canvas

curl --request POST \
  --url https://eversince.ai/api/v1/tools/get_canvas \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "canvas_id": "<string>",
  "find_text": "<string>",
  "slide": "<string>",
  "layer_ids": [
    "<string>"
  ],
  "types": [],
  "history": 25,
  "destinations": true,
  "limit": 50,
  "cursor": "<string>"
}
'

import requests

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

payload = {
    "canvas_id": "<string>",
    "find_text": "<string>",
    "slide": "<string>",
    "layer_ids": ["<string>"],
    "types": [],
    "history": 25,
    "destinations": True,
    "limit": 50,
    "cursor": "<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({
    canvas_id: '<string>',
    find_text: '<string>',
    slide: '<string>',
    layer_ids: ['<string>'],
    types: [],
    history: 25,
    destinations: true,
    limit: 50,
    cursor: '<string>'
  })
};

fetch('https://eversince.ai/api/v1/tools/get_canvas', 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>"
    }
  }
}