Create a media object

curl --request POST \
  --url https://library-backend.dashsocial.com/brands/{brand_id}/media/v2 \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "callback_socket_id": "<string>",
  "content_tags": [
    "Tag 1",
    "Tag 2"
  ],
  "custom_metrics": [
    {
      "aggregation": "<string>",
      "description": "<string>",
      "formula": "<string>",
      "id": 123,
      "metric_format": "<string>",
      "name": "<string>",
      "value": 123
    }
  ],
  "likeshop": {
    "clicks": 123,
    "links": "<string>",
    "tiktok_clicks": 123
  },
  "meta": {
    "filename": "<string>",
    "last_modified_at": "<string>",
    "uploaded_by": 123
  },
  "source_created_at": "2023-11-07T05:31:56Z",
  "variants": [],
  "video_predictions_interval_sec": 123,
  "video_suggested_thumbnail_list": [
    {
      "frame_position": 123,
      "index": 123,
      "predictions": {
        "engagement": 123
      },
      "url": "<string>"
    }
  ]
}
'

import requests

url = "https://library-backend.dashsocial.com/brands/{brand_id}/media/v2"

payload = {
    "callback_socket_id": "<string>",
    "content_tags": ["Tag 1", "Tag 2"],
    "custom_metrics": [
        {
            "aggregation": "<string>",
            "description": "<string>",
            "formula": "<string>",
            "id": 123,
            "metric_format": "<string>",
            "name": "<string>",
            "value": 123
        }
    ],
    "likeshop": {
        "clicks": 123,
        "links": "<string>",
        "tiktok_clicks": 123
    },
    "meta": {
        "filename": "<string>",
        "last_modified_at": "<string>",
        "uploaded_by": 123
    },
    "source_created_at": "2023-11-07T05:31:56Z",
    "variants": [],
    "video_predictions_interval_sec": 123,
    "video_suggested_thumbnail_list": [
        {
            "frame_position": 123,
            "index": 123,
            "predictions": { "engagement": 123 },
            "url": "<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({
    callback_socket_id: '<string>',
    content_tags: ['Tag 1', 'Tag 2'],
    custom_metrics: [
      {
        aggregation: '<string>',
        description: '<string>',
        formula: '<string>',
        id: 123,
        metric_format: '<string>',
        name: '<string>',
        value: 123
      }
    ],
    likeshop: {clicks: 123, links: '<string>', tiktok_clicks: 123},
    meta: {filename: '<string>', last_modified_at: '<string>', uploaded_by: 123},
    source_created_at: '2023-11-07T05:31:56Z',
    variants: [],
    video_predictions_interval_sec: 123,
    video_suggested_thumbnail_list: [
      {
        frame_position: 123,
        index: 123,
        predictions: {engagement: 123},
        url: '<string>'
      }
    ]
  })
};

fetch('https://library-backend.dashsocial.com/brands/{brand_id}/media/v2', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://library-backend.dashsocial.com/brands/{brand_id}/media/v2",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'callback_socket_id' => '<string>',
    'content_tags' => [
        'Tag 1',
        'Tag 2'
    ],
    'custom_metrics' => [
        [
                'aggregation' => '<string>',
                'description' => '<string>',
                'formula' => '<string>',
                'id' => 123,
                'metric_format' => '<string>',
                'name' => '<string>',
                'value' => 123
        ]
    ],
    'likeshop' => [
        'clicks' => 123,
        'links' => '<string>',
        'tiktok_clicks' => 123
    ],
    'meta' => [
        'filename' => '<string>',
        'last_modified_at' => '<string>',
        'uploaded_by' => 123
    ],
    'source_created_at' => '2023-11-07T05:31:56Z',
    'variants' => [
        
    ],
    'video_predictions_interval_sec' => 123,
    'video_suggested_thumbnail_list' => [
        [
                'frame_position' => 123,
                'index' => 123,
                'predictions' => [
                                'engagement' => 123
                ],
                'url' => '<string>'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://library-backend.dashsocial.com/brands/{brand_id}/media/v2"

	payload := strings.NewReader("{\n  \"callback_socket_id\": \"<string>\",\n  \"content_tags\": [\n    \"Tag 1\",\n    \"Tag 2\"\n  ],\n  \"custom_metrics\": [\n    {\n      \"aggregation\": \"<string>\",\n      \"description\": \"<string>\",\n      \"formula\": \"<string>\",\n      \"id\": 123,\n      \"metric_format\": \"<string>\",\n      \"name\": \"<string>\",\n      \"value\": 123\n    }\n  ],\n  \"likeshop\": {\n    \"clicks\": 123,\n    \"links\": \"<string>\",\n    \"tiktok_clicks\": 123\n  },\n  \"meta\": {\n    \"filename\": \"<string>\",\n    \"last_modified_at\": \"<string>\",\n    \"uploaded_by\": 123\n  },\n  \"source_created_at\": \"2023-11-07T05:31:56Z\",\n  \"variants\": [],\n  \"video_predictions_interval_sec\": 123,\n  \"video_suggested_thumbnail_list\": [\n    {\n      \"frame_position\": 123,\n      \"index\": 123,\n      \"predictions\": {\n        \"engagement\": 123\n      },\n      \"url\": \"<string>\"\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://library-backend.dashsocial.com/brands/{brand_id}/media/v2")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"callback_socket_id\": \"<string>\",\n  \"content_tags\": [\n    \"Tag 1\",\n    \"Tag 2\"\n  ],\n  \"custom_metrics\": [\n    {\n      \"aggregation\": \"<string>\",\n      \"description\": \"<string>\",\n      \"formula\": \"<string>\",\n      \"id\": 123,\n      \"metric_format\": \"<string>\",\n      \"name\": \"<string>\",\n      \"value\": 123\n    }\n  ],\n  \"likeshop\": {\n    \"clicks\": 123,\n    \"links\": \"<string>\",\n    \"tiktok_clicks\": 123\n  },\n  \"meta\": {\n    \"filename\": \"<string>\",\n    \"last_modified_at\": \"<string>\",\n    \"uploaded_by\": 123\n  },\n  \"source_created_at\": \"2023-11-07T05:31:56Z\",\n  \"variants\": [],\n  \"video_predictions_interval_sec\": 123,\n  \"video_suggested_thumbnail_list\": [\n    {\n      \"frame_position\": 123,\n      \"index\": 123,\n      \"predictions\": {\n        \"engagement\": 123\n      },\n      \"url\": \"<string>\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://library-backend.dashsocial.com/brands/{brand_id}/media/v2")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"callback_socket_id\": \"<string>\",\n  \"content_tags\": [\n    \"Tag 1\",\n    \"Tag 2\"\n  ],\n  \"custom_metrics\": [\n    {\n      \"aggregation\": \"<string>\",\n      \"description\": \"<string>\",\n      \"formula\": \"<string>\",\n      \"id\": 123,\n      \"metric_format\": \"<string>\",\n      \"name\": \"<string>\",\n      \"value\": 123\n    }\n  ],\n  \"likeshop\": {\n    \"clicks\": 123,\n    \"links\": \"<string>\",\n    \"tiktok_clicks\": 123\n  },\n  \"meta\": {\n    \"filename\": \"<string>\",\n    \"last_modified_at\": \"<string>\",\n    \"uploaded_by\": 123\n  },\n  \"source_created_at\": \"2023-11-07T05:31:56Z\",\n  \"variants\": [],\n  \"video_predictions_interval_sec\": 123,\n  \"video_suggested_thumbnail_list\": [\n    {\n      \"frame_position\": 123,\n      \"index\": 123,\n      \"predictions\": {\n        \"engagement\": 123\n      },\n      \"url\": \"<string>\"\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "brand_id": 123,
  "brand_media_id": 123,
  "brand_media_status": "<string>",
  "callback_socket_id": "<string>",
  "can_publish_within": {
    "end": "<string>",
    "start": "<string>"
  },
  "caption_question": {
    "is_question": true,
    "user_overridden": true
  },
  "caption_sentiment": {
    "is_negative": true,
    "is_neutral": true,
    "is_positive": true,
    "user_overridden": true
  },
  "collections": {},
  "comment_sentiment": {
    "is_negative": true,
    "is_neutral": true,
    "is_positive": true,
    "user_overridden": true
  },
  "community_engagement": 123,
  "content_rights_expiry_date": "2023-11-07T05:31:56Z",
  "content_rights_requested_by": "<string>",
  "content_rights_requested_date": "2023-11-07T05:31:56Z",
  "content_tags": [
    "Tag 1",
    "Tag 2"
  ],
  "created_at": "2023-11-07T05:31:56Z",
  "creator": {
    "avatar_url": "<string>",
    "handle": "<string>"
  },
  "custom_metrics": [
    {
      "aggregation": "<string>",
      "description": "<string>",
      "formula": "<string>",
      "id": 123,
      "metric_format": "<string>",
      "name": "<string>",
      "value": 123
    }
  ],
  "facebook": {},
  "id": 123,
  "image": {
    "sizes": {
      "original": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "medium_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "original_converted": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      }
    },
    "editor_data": {
      "aspect_ratio": "<string>",
      "canvas_data": {
        "height": 123,
        "left": 123,
        "natural_height": 123,
        "natural_width": 123,
        "top": 123,
        "width": 123
      },
      "zoom_value": 123
    },
    "transforms": {
      "crop": {
        "height": 123,
        "width": 123,
        "x": 123,
        "y": 123
      },
      "parent_media_id": 123
    }
  },
  "instagram": {},
  "instagram_ads": {},
  "instagram_story": {},
  "instagram_story_frame": {},
  "instagram_user": {},
  "likeshop": {
    "clicks": 123,
    "links": "<string>",
    "tiktok_clicks": 123
  },
  "linkedin": {},
  "media_group": 123,
  "meta": {
    "filename": "<string>",
    "last_modified_at": "<string>",
    "uploaded_by": 123
  },
  "pinterest": {},
  "predictions": {
    "ad_engagement": 123,
    "conversions": 123,
    "engagement": 123,
    "link_clicks": 123
  },
  "snapchat": {},
  "source_account_id": "<string>",
  "source_created_at": "2023-11-07T05:31:56Z",
  "source_id": "<string>",
  "threads": {},
  "tiktok": {},
  "tiktok_ad": {},
  "twitter": {},
  "updated_at": "2023-11-07T05:31:56Z",
  "variants": [],
  "video": {
    "sizes": {
      "original": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "medium_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "original_converted": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      }
    },
    "duration": 123,
    "editor_data": {
      "aspect_ratio": "<string>"
    },
    "frame_rate": 123,
    "thumbnails": {
      "medium_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "original": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "original_converted": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      }
    },
    "transforms": {
      "crop": {
        "height": 123,
        "width": 123,
        "x": 123,
        "y": 123
      },
      "disable_audio_track": true,
      "parent_media_id": 123,
      "trim": {
        "end_time": 123,
        "start_time": 123
      }
    },
    "video_conversion_warnings": "<unknown>"
  },
  "video_predictions": {
    "engagement": [
      123
    ]
  },
  "video_predictions_interval_sec": 123,
  "video_suggested_thumbnail_list": [
    {
      "frame_position": 123,
      "index": 123,
      "predictions": {
        "engagement": 123
      },
      "url": "<string>"
    }
  ],
  "visual_features": "<string>",
  "youtube": {}
}

{
  "code": 123,
  "errors": {},
  "message": "<string>",
  "status": "<string>"
}

{
  "code": 123,
  "errors": {},
  "message": "<string>",
  "status": "<string>"
}

POST

brands

{brand_id}

media

Create a media object

curl --request POST \
  --url https://library-backend.dashsocial.com/brands/{brand_id}/media/v2 \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "callback_socket_id": "<string>",
  "content_tags": [
    "Tag 1",
    "Tag 2"
  ],
  "custom_metrics": [
    {
      "aggregation": "<string>",
      "description": "<string>",
      "formula": "<string>",
      "id": 123,
      "metric_format": "<string>",
      "name": "<string>",
      "value": 123
    }
  ],
  "likeshop": {
    "clicks": 123,
    "links": "<string>",
    "tiktok_clicks": 123
  },
  "meta": {
    "filename": "<string>",
    "last_modified_at": "<string>",
    "uploaded_by": 123
  },
  "source_created_at": "2023-11-07T05:31:56Z",
  "variants": [],
  "video_predictions_interval_sec": 123,
  "video_suggested_thumbnail_list": [
    {
      "frame_position": 123,
      "index": 123,
      "predictions": {
        "engagement": 123
      },
      "url": "<string>"
    }
  ]
}
'

import requests

url = "https://library-backend.dashsocial.com/brands/{brand_id}/media/v2"

payload = {
    "callback_socket_id": "<string>",
    "content_tags": ["Tag 1", "Tag 2"],
    "custom_metrics": [
        {
            "aggregation": "<string>",
            "description": "<string>",
            "formula": "<string>",
            "id": 123,
            "metric_format": "<string>",
            "name": "<string>",
            "value": 123
        }
    ],
    "likeshop": {
        "clicks": 123,
        "links": "<string>",
        "tiktok_clicks": 123
    },
    "meta": {
        "filename": "<string>",
        "last_modified_at": "<string>",
        "uploaded_by": 123
    },
    "source_created_at": "2023-11-07T05:31:56Z",
    "variants": [],
    "video_predictions_interval_sec": 123,
    "video_suggested_thumbnail_list": [
        {
            "frame_position": 123,
            "index": 123,
            "predictions": { "engagement": 123 },
            "url": "<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({
    callback_socket_id: '<string>',
    content_tags: ['Tag 1', 'Tag 2'],
    custom_metrics: [
      {
        aggregation: '<string>',
        description: '<string>',
        formula: '<string>',
        id: 123,
        metric_format: '<string>',
        name: '<string>',
        value: 123
      }
    ],
    likeshop: {clicks: 123, links: '<string>', tiktok_clicks: 123},
    meta: {filename: '<string>', last_modified_at: '<string>', uploaded_by: 123},
    source_created_at: '2023-11-07T05:31:56Z',
    variants: [],
    video_predictions_interval_sec: 123,
    video_suggested_thumbnail_list: [
      {
        frame_position: 123,
        index: 123,
        predictions: {engagement: 123},
        url: '<string>'
      }
    ]
  })
};

fetch('https://library-backend.dashsocial.com/brands/{brand_id}/media/v2', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://library-backend.dashsocial.com/brands/{brand_id}/media/v2",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'callback_socket_id' => '<string>',
    'content_tags' => [
        'Tag 1',
        'Tag 2'
    ],
    'custom_metrics' => [
        [
                'aggregation' => '<string>',
                'description' => '<string>',
                'formula' => '<string>',
                'id' => 123,
                'metric_format' => '<string>',
                'name' => '<string>',
                'value' => 123
        ]
    ],
    'likeshop' => [
        'clicks' => 123,
        'links' => '<string>',
        'tiktok_clicks' => 123
    ],
    'meta' => [
        'filename' => '<string>',
        'last_modified_at' => '<string>',
        'uploaded_by' => 123
    ],
    'source_created_at' => '2023-11-07T05:31:56Z',
    'variants' => [
        
    ],
    'video_predictions_interval_sec' => 123,
    'video_suggested_thumbnail_list' => [
        [
                'frame_position' => 123,
                'index' => 123,
                'predictions' => [
                                'engagement' => 123
                ],
                'url' => '<string>'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://library-backend.dashsocial.com/brands/{brand_id}/media/v2"

	payload := strings.NewReader("{\n  \"callback_socket_id\": \"<string>\",\n  \"content_tags\": [\n    \"Tag 1\",\n    \"Tag 2\"\n  ],\n  \"custom_metrics\": [\n    {\n      \"aggregation\": \"<string>\",\n      \"description\": \"<string>\",\n      \"formula\": \"<string>\",\n      \"id\": 123,\n      \"metric_format\": \"<string>\",\n      \"name\": \"<string>\",\n      \"value\": 123\n    }\n  ],\n  \"likeshop\": {\n    \"clicks\": 123,\n    \"links\": \"<string>\",\n    \"tiktok_clicks\": 123\n  },\n  \"meta\": {\n    \"filename\": \"<string>\",\n    \"last_modified_at\": \"<string>\",\n    \"uploaded_by\": 123\n  },\n  \"source_created_at\": \"2023-11-07T05:31:56Z\",\n  \"variants\": [],\n  \"video_predictions_interval_sec\": 123,\n  \"video_suggested_thumbnail_list\": [\n    {\n      \"frame_position\": 123,\n      \"index\": 123,\n      \"predictions\": {\n        \"engagement\": 123\n      },\n      \"url\": \"<string>\"\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://library-backend.dashsocial.com/brands/{brand_id}/media/v2")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"callback_socket_id\": \"<string>\",\n  \"content_tags\": [\n    \"Tag 1\",\n    \"Tag 2\"\n  ],\n  \"custom_metrics\": [\n    {\n      \"aggregation\": \"<string>\",\n      \"description\": \"<string>\",\n      \"formula\": \"<string>\",\n      \"id\": 123,\n      \"metric_format\": \"<string>\",\n      \"name\": \"<string>\",\n      \"value\": 123\n    }\n  ],\n  \"likeshop\": {\n    \"clicks\": 123,\n    \"links\": \"<string>\",\n    \"tiktok_clicks\": 123\n  },\n  \"meta\": {\n    \"filename\": \"<string>\",\n    \"last_modified_at\": \"<string>\",\n    \"uploaded_by\": 123\n  },\n  \"source_created_at\": \"2023-11-07T05:31:56Z\",\n  \"variants\": [],\n  \"video_predictions_interval_sec\": 123,\n  \"video_suggested_thumbnail_list\": [\n    {\n      \"frame_position\": 123,\n      \"index\": 123,\n      \"predictions\": {\n        \"engagement\": 123\n      },\n      \"url\": \"<string>\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://library-backend.dashsocial.com/brands/{brand_id}/media/v2")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"callback_socket_id\": \"<string>\",\n  \"content_tags\": [\n    \"Tag 1\",\n    \"Tag 2\"\n  ],\n  \"custom_metrics\": [\n    {\n      \"aggregation\": \"<string>\",\n      \"description\": \"<string>\",\n      \"formula\": \"<string>\",\n      \"id\": 123,\n      \"metric_format\": \"<string>\",\n      \"name\": \"<string>\",\n      \"value\": 123\n    }\n  ],\n  \"likeshop\": {\n    \"clicks\": 123,\n    \"links\": \"<string>\",\n    \"tiktok_clicks\": 123\n  },\n  \"meta\": {\n    \"filename\": \"<string>\",\n    \"last_modified_at\": \"<string>\",\n    \"uploaded_by\": 123\n  },\n  \"source_created_at\": \"2023-11-07T05:31:56Z\",\n  \"variants\": [],\n  \"video_predictions_interval_sec\": 123,\n  \"video_suggested_thumbnail_list\": [\n    {\n      \"frame_position\": 123,\n      \"index\": 123,\n      \"predictions\": {\n        \"engagement\": 123\n      },\n      \"url\": \"<string>\"\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "brand_id": 123,
  "brand_media_id": 123,
  "brand_media_status": "<string>",
  "callback_socket_id": "<string>",
  "can_publish_within": {
    "end": "<string>",
    "start": "<string>"
  },
  "caption_question": {
    "is_question": true,
    "user_overridden": true
  },
  "caption_sentiment": {
    "is_negative": true,
    "is_neutral": true,
    "is_positive": true,
    "user_overridden": true
  },
  "collections": {},
  "comment_sentiment": {
    "is_negative": true,
    "is_neutral": true,
    "is_positive": true,
    "user_overridden": true
  },
  "community_engagement": 123,
  "content_rights_expiry_date": "2023-11-07T05:31:56Z",
  "content_rights_requested_by": "<string>",
  "content_rights_requested_date": "2023-11-07T05:31:56Z",
  "content_tags": [
    "Tag 1",
    "Tag 2"
  ],
  "created_at": "2023-11-07T05:31:56Z",
  "creator": {
    "avatar_url": "<string>",
    "handle": "<string>"
  },
  "custom_metrics": [
    {
      "aggregation": "<string>",
      "description": "<string>",
      "formula": "<string>",
      "id": 123,
      "metric_format": "<string>",
      "name": "<string>",
      "value": 123
    }
  ],
  "facebook": {},
  "id": 123,
  "image": {
    "sizes": {
      "original": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "medium_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "original_converted": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      }
    },
    "editor_data": {
      "aspect_ratio": "<string>",
      "canvas_data": {
        "height": 123,
        "left": 123,
        "natural_height": 123,
        "natural_width": 123,
        "top": 123,
        "width": 123
      },
      "zoom_value": 123
    },
    "transforms": {
      "crop": {
        "height": 123,
        "width": 123,
        "x": 123,
        "y": 123
      },
      "parent_media_id": 123
    }
  },
  "instagram": {},
  "instagram_ads": {},
  "instagram_story": {},
  "instagram_story_frame": {},
  "instagram_user": {},
  "likeshop": {
    "clicks": 123,
    "links": "<string>",
    "tiktok_clicks": 123
  },
  "linkedin": {},
  "media_group": 123,
  "meta": {
    "filename": "<string>",
    "last_modified_at": "<string>",
    "uploaded_by": 123
  },
  "pinterest": {},
  "predictions": {
    "ad_engagement": 123,
    "conversions": 123,
    "engagement": 123,
    "link_clicks": 123
  },
  "snapchat": {},
  "source_account_id": "<string>",
  "source_created_at": "2023-11-07T05:31:56Z",
  "source_id": "<string>",
  "threads": {},
  "tiktok": {},
  "tiktok_ad": {},
  "twitter": {},
  "updated_at": "2023-11-07T05:31:56Z",
  "variants": [],
  "video": {
    "sizes": {
      "original": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "medium_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "original_converted": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      }
    },
    "duration": 123,
    "editor_data": {
      "aspect_ratio": "<string>"
    },
    "frame_rate": 123,
    "thumbnails": {
      "medium_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "original": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "original_converted": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      },
      "small_square": {
        "url": "<string>",
        "height": 123,
        "size": 123,
        "width": 123
      }
    },
    "transforms": {
      "crop": {
        "height": 123,
        "width": 123,
        "x": 123,
        "y": 123
      },
      "disable_audio_track": true,
      "parent_media_id": 123,
      "trim": {
        "end_time": 123,
        "start_time": 123
      }
    },
    "video_conversion_warnings": "<unknown>"
  },
  "video_predictions": {
    "engagement": [
      123
    ]
  },
  "video_predictions_interval_sec": 123,
  "video_suggested_thumbnail_list": [
    {
      "frame_position": 123,
      "index": 123,
      "predictions": {
        "engagement": 123
      },
      "url": "<string>"
    }
  ],
  "visual_features": "<string>",
  "youtube": {}
}

{
  "code": 123,
  "errors": {},
  "message": "<string>",
  "status": "<string>"
}

{
  "code": 123,
  "errors": {},
  "message": "<string>",
  "status": "<string>"
}

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

brand_id

integer<int32>

required

The Dash Social assigned ID of the brand.

Body

application/json

source

enum<string>

required

Source of media.

Available options:

INSTAGRAM,

INSTAGRAM_STORY,

PINTEREST,

FACEBOOK,

TIKTOK,

TIKTOK_AD,

TWITTER,

YOUTUBE,

LINKEDIN,

THREADS,

SNAPCHAT,

UPLOAD,

EDITOR,

AI_GENERATION,

FACEBOOK_ADS,

FACEBOOK_LINK,

FACEBOOK_TEXT,

FACEBOOK_TEXT_LINK,

TWITTER_LINK,

TWITTER_TEXT

type

enum<string>

required

Type of media.

Available options:

IMAGE,

VIDEO,

CAROUSEL,

REEL

callback_socket_id

string

ID of WebSocket to notify when media conversion is complete.

content_tags

any[]

content tag names that brand media can be tagged with

Example:

["Tag 1", "Tag 2"]

custom_metrics

object[]

Show child attributes

image

object

Data if type is IMAGE.

Show child attributes

likeshop

object

Likeshop Stats.

Show child attributes

Response

Created

source

enum<string>

required

Source of media.

Available options:

INSTAGRAM,

INSTAGRAM_STORY,

PINTEREST,

FACEBOOK,

TIKTOK,

TIKTOK_AD,

TWITTER,

YOUTUBE,

LINKEDIN,

THREADS,

SNAPCHAT,

UPLOAD,

EDITOR,

AI_GENERATION,

FACEBOOK_ADS,

FACEBOOK_LINK,

FACEBOOK_TEXT,

FACEBOOK_TEXT_LINK,

TWITTER_LINK,

TWITTER_TEXT

type

enum<string>

required

Type of media.

Available options:

IMAGE,

VIDEO,

CAROUSEL,

REEL

brand_id

integer

read-only

brand_media_id

integer

read-only

brand_media_status

string

read-only

Status of the brand media (e.g. PROCESSED, HIDDEN, NEW).

callback_socket_id

string

ID of WebSocket to notify when media conversion is complete.

can_publish_within

object

Media is only allowed to be published within this range of dates.

Show child attributes

caption_question

object

Whether the caption of this media item includes a question.

Show child attributes

caption_sentiment

object

Sentiment as determined by the caption of this media item.

Show child attributes

collections

object

read-only

Collections that the media belong to.

comment_sentiment

object

Sentiment as determined by the aggregated comments on this media item.

Show child attributes

community_engagement

integer

read-only

Media engagement for community overview

content_rights_expiry_date

string<date-time>

read-only

Expiry date of the content rights.

content_rights_requested_by

string

read-only

User ID of the person who requested content rights.

content_rights_requested_date

string<date-time>

read-only

Date when the content rights were requested.

content_rights_type

enum<string>

read-only

Content rights status of the media.

Available options:

APPROVED,

NOT_REQUESTED,

REQUESTED,

LAPSED,

FAILED,

EXPIRED

content_tags

any[]

content tag names that brand media can be tagged with

Example:

["Tag 1", "Tag 2"]

created_at

string<date-time>

read-only

An ISO-8601 formatted timestamp of when the object was created.

creator

object

Creator info for the media

Show child attributes

custom_metrics

object[]

Show child attributes

facebook

object

read-only

Facebook source data.

integer

read-only

The object's ID.

image

object

Data if type is IMAGE.

Show child attributes

instagram

object

read-only

Instagram source data.

instagram_ads

object

read-only

Instagram ads source data.

instagram_story

object

read-only

Instagram story source data.

instagram_story_frame

object

read-only

Instagram story frame source data.

instagram_user

object

read-only

Instagram User source data.

likeshop

object

Likeshop Stats.

Show child attributes

object

read-only

LinkedIn source data.

media_group

integer

read-only

Media group ID.

API documentation

Library API

Dashboard API

Scheduler API

Community API

Create a media object

Authorizations

Path Parameters

Body

Response