Introduction

Make your 3D content fit all platforms

Welcome to our API documentation!

This documentation describes the usage of the Rapidcompact API endpoints which enable the upload of base assets, the optimization of a base asset and the download of the optimized rapid model.

Base URL

https://api.rapidcompact.com

Authenticating requests

To authenticate requests, include an Authorization header with the value "Bearer {YOUR_AUTH_KEY}".

All authenticated endpoints are marked with a requires authentication badge in the documentation below.

You can create your API token here.

API Tokens

Get Tokens

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/user/tokens" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/user/tokens"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/user/tokens'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200, success):


[
    {
        "id": 222,
        "tokenable_type": "App\\Models\\User",
        "tokenable_id": 303,
        "name": "name of api token",
        "abilities": [
            "*"
        ],
        "last_used_at": "2021-09-01T11:21:22.000000Z",
        "created_at": "2021-09-01T10:26:57.000000Z",
        "updated_at": "2021-09-01T11:21:22.000000Z",
        "plain_text": ""
    }
]

Received response:

Request failed with error:

Create Token

requires authentication

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/v1/user/tokens" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"name\": \"name of new api token\"
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/user/tokens"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "name": "name of new api token"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/user/tokens'
payload = {
    "name": "name of new api token"
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Example response (200, success):


234|y5NGBTJk5OX5Zva5RfxTz0GkXEL9axN79vTfsJOH

Received response:

Request failed with error:

Delete Token

requires authentication

Example request:

curl --request DELETE \
    "https://api.rapidcompact.com/api/v1/user/tokens/42" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/user/tokens/42"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "DELETE",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/user/tokens/42'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('DELETE', url, headers=headers)
response.json()

Received response:

Request failed with error:

Get Token

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/user/tokens/42" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/user/tokens/42"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/user/tokens/42'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200, success):


{
    "id": 1,
    "tokenable_type": "App\\Models\\User",
    "tokenable_id": 45,
    "name": "name of api token",
    "abilities": [
        "*"
    ],
    "last_used_at": null,
    "created_at": "2021-10-26T10:38:07.000000Z",
    "updated_at": "2021-10-26T10:38:07.000000Z",
    "plain_text": ""
}

Received response:

Request failed with error:

Base Asset

Get Running Jobs

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/rawmodel/jobs" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/jobs"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/jobs'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200, success):


{
    "data": [
        {
            "id": 5812,
            "name": "TVBench",
            "optimization_status": "failed",
            "job_status": {
                "id": 3601,
                "job_id": "edab51b2-1c47-4a0f-b807-58e913dbabc9",
                "type": "App\\Jobs\\ProcessRawModel",
                "queue": "default",
                "attempts": 1,
                "progress_now": 100,
                "progress_max": 100,
                "status": "finished",
                "input": null,
                "output": "{\"exit_code\":1}",
                "created_at": "2021-10-11 20:08:52",
                "updated_at": "2021-10-11 20:08:53",
                "started_at": "2021-10-11 20:08:52",
                "finished_at": "2021-10-11 20:08:53",
                "key": "rapid_model:5812"
            },
            "progress": 100,
            "processing_step": "Done",
            "external": false,
            "rawmodel": {
                "id": 2257,
                "name": "TVBench"
            }
        }
    ]
}

Received response:

Request failed with error:

Process [Deprecated]

requires authentication

Please use the "Optimize" instead

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/v1/rawmodel/process/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"config\": {
        \"workflowSettings\": {
            \"targetMeshResolution\": {
                \"faceCount\": 30000
            },
            \"targetTextureResolution\": {
                \"baseColor\": 2048,
                \"emissive\": 2048,
                \"normal\": 2048,
                \"orm\": 2048
            }
        },
        \"assetSimplification\": {
            \"meshDecimation\": {
                \"method\": \"rebake\"
            },
            \"topologySettings\": {
                \"vertexMergingDistance\": 0.005,
                \"meshDensityEqualization\": 0,
                \"boundaryPreservationFactor\": 0.5
            },
            \"uvAndAtlasSettings\": {
                \"uvStretchTolerance\": 0
            },
            \"materialAndTextureBaking\": {
                \"bakingQuality\": \"medium\",
                \"bakeNormalMap\": true,
                \"bakeAOMap\": false
            }
        },
        \"compressionAndExport\": {
            \"fileExports\": [
                {
                    \"fileType\": \"glb\",
                    \"meshCompressionMethod\": \"none\",
                    \"customScaling\": 1,
                    \"textureFormat\": {
                        \"baseColor\": \"auto\",
                        \"emissive\": \"auto\",
                        \"normal\": \"png\",
                        \"orm\": \"auto\"
                    }
                }
            ]
        }
    }
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/process/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "config": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    }
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/process/281'
payload = {
    "config": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    }
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Received response:

Request failed with error:

Optimize

requires authentication

The "Try it out" feature for this endpoint doesn't work, because the config gets sent as a string, but it needs to be a json object. Please check the example request on the right side

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/v1/rawmodel/optimize/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"config\": {
        \"workflowSettings\": {
            \"targetMeshResolution\": {
                \"faceCount\": 30000
            },
            \"targetTextureResolution\": {
                \"baseColor\": 2048,
                \"emissive\": 2048,
                \"normal\": 2048,
                \"orm\": 2048
            }
        },
        \"assetSimplification\": {
            \"meshDecimation\": {
                \"method\": \"rebake\"
            },
            \"topologySettings\": {
                \"vertexMergingDistance\": 0.005,
                \"meshDensityEqualization\": 0,
                \"boundaryPreservationFactor\": 0.5
            },
            \"uvAndAtlasSettings\": {
                \"uvStretchTolerance\": 0
            },
            \"materialAndTextureBaking\": {
                \"bakingQuality\": \"medium\",
                \"bakeNormalMap\": true,
                \"bakeAOMap\": false
            }
        },
        \"compressionAndExport\": {
            \"fileExports\": [
                {
                    \"fileType\": \"glb\",
                    \"meshCompressionMethod\": \"none\",
                    \"customScaling\": 1,
                    \"textureFormat\": {
                        \"baseColor\": \"auto\",
                        \"emissive\": \"auto\",
                        \"normal\": \"png\",
                        \"orm\": \"auto\"
                    }
                }
            ]
        }
    },
    \"tags\": [
        \"Low-Poly\",
        \"MyTag\"
    ]
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/optimize/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "config": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    },
    "tags": [
        "Low-Poly",
        "MyTag"
    ]
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/optimize/281'
payload = {
    "config": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    },
    "tags": [
        "Low-Poly",
        "MyTag"
    ]
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Example response (200, success):


{
    "id": 281,
    "name": "teapot.obj",
    "optimization_status": "sent_to_queue",
    "job_status": {
        "id": 518,
        "job_id": null,
        "type": "App\\Jobs\\ProcessRawModel",
        "queue": null,
        "attempts": 0,
        "progress_now": 0,
        "progress_max": 0,
        "status": "queued",
        "input": null,
        "output": null,
        "created_at": "2021-02-15T13:34:52.000000Z",
        "updated_at": "2021-02-15T13:34:52.000000Z",
        "started_at": null,
        "finished_at": null,
        "key": "rapid_model:624"
    },
    "progress": 0,
    "processing_step": "Scheduled for processing",
    "external": null,
    "rawmodel": {
        "id": 282,
        "name": "teapot.obj",
        "processing": true
    }
}

Received response:

Request failed with error:

Request

POST api/v1/rawmodel/optimize/{id}

URL Parameters

id integer

The id of the base asset

Body Parameters

config object

The config of the optimizer as a json object complying with the API Optimize Schema

tags string[] optional

A list of tags that will be added to the rapid model

Get Base Asset

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/rawmodel/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/281'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200):


{
   "data": {
       "id": 281,
       "name": "teapot",
       "processing": false,
       "external": false,
       "upload_status": "complete",
       "size": 438680,
       "created_at": "2021-02-08T16:59:52+01:00",
       "rapid_models": [
           635,
           617
       ],
       "scale_factor": "10",
       "tags": []
       "downloads": {
           "error.log": "signed url for the error.log",
           "info.log": "signed url for info.log",
           "metrics.json": "signed url for the metrics.json",
           "rpd_info.json": "signed url for the rpd_info.json",
           "teapot.obj": "signed url for the teapot.obj",
           "thumb.jpg": "signed url for the thumb.jpg"
        }
   }
}

Received response:

Request failed with error:

Delete Base Asset

requires authentication

Example request:

curl --request DELETE \
    "https://api.rapidcompact.com/api/v1/rawmodel/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "DELETE",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/281'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('DELETE', url, headers=headers)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Delete Tag of a Base Asset

requires authentication

Example request:

curl --request DELETE \
    "https://api.rapidcompact.com/api/v1/rawmodel/281/tags/2" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/281/tags/2"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "DELETE",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/281/tags/2'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('DELETE', url, headers=headers)
response.json()

Received response:

Request failed with error:

Get Base Assets

requires authentication

Paginated response of your base assets. Search for base assets by name or tag

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/rawmodel?q=yourSearchString" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel"
);

const params = {
    "q": "yourSearchString",
};
Object.keys(params)
    .forEach(key => url.searchParams.append(key, params[key]));

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel'
params = {
  'q': 'yourSearchString',
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers, params=params)
response.json()

Example response (200, success):


{
    "data": [
        {
            "id": 1,
            "name": "teapot",
            "processing": false,
            "external": false,
            "upload_status": "complete",
            "size": 315088,
            "created_at": "2022-05-24T15:05:47+02:00",
            "rapid_models": [],
            "scale_factor": "1",
            "has_errors": true,
            "tags": [
                {
                    "id": 1,
                    "name": "Low-Poly",
                    "created_at": "2022-05-24T13:06:03.000000Z",
                    "updated_at": "2022-05-24T13:06:03.000000Z",
                    "pivot": {
                        "rawmodel_id": 1,
                        "tag_id": 1
                    }
                }
            ],
            "downloads": {
                "error.log": "signed url for the error.log",
                "info.log": "signed url for info.log",
                "metrics.json": "signed url for the metrics.json",
                "rpd_info.json": "signed url for the rpd_info.json",
                "teapot.fbx": "signed url for the teapot.obj",
                "thumb.jpg": "signed url for the thumb.jpg",
                "warning.log": "signed url for the warning.log"
            }
        }
    ],
    "links": {
        "first": "https://url/api/v1/rawmodel?page=1",
        "last": "https://url/api/v1/rawmodel?page=1",
        "prev": null,
        "next": null
    },
    "meta": {
        "current_page": 1,
        "from": 1,
        "last_page": 1,
        "links": [
            {
                "url": null,
                "label": "&laquo; Previous",
                "active": false
            },
            {
                "url": "https://url/api/v1/rawmodel?page=1",
                "label": "1",
                "active": true
            },
            {
                "url": null,
                "label": "Next &raquo;",
                "active": false
            }
        ],
        "path": "https://url/api/v1/rawmodel",
        "per_page": 10,
        "to": 1,
        "total": 1
    }
}

Received response:

Request failed with error:

Update Base Asset

requires authentication

Example request:

curl --request PUT \
    "https://api.rapidcompact.com/api/v1/rawmodel/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"scale_factor\": 0.5,
    \"tags\": [
        \"low poly\",
        \"mb target\"
    ]
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "scale_factor": 0.5,
    "tags": [
        "low poly",
        "mb target"
    ]
};

fetch(url, {
    method: "PUT",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/281'
payload = {
    "scale_factor": 0.5,
    "tags": [
        "low poly",
        "mb target"
    ]
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('PUT', url, headers=headers, json=payload)
response.json()

Received response:

Request failed with error:

Request

PUT api/v1/rawmodel/{id}

URL Parameters

id integer

The id of the base asset

Body Parameters

scale_factor number optional

The new scale factor that will be applied to the base asset

tags string[] optional

A list of tags that will be added to the base asset

Delete Multiple Base Assets

requires authentication

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/v1/rawmodel/delete" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"ids\": [
        726,
        324
    ]
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/delete"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "ids": [
        726,
        324
    ]
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/delete'
payload = {
    "ids": [
        726,
        324
    ]
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Received response:

Request failed with error:

Create Base Asset - Get Upload Link

requires authentication

Calling this endpoint will return an id for the new base asset and presigned URLs which need to be used to upload the files directly to our storage. The URLs are unique for every file. The "complete_upload" field will contain a link to the "Create Base Asset - Complete Upload" endpoint that needs to be called when the upload is done

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/v1/rawmodel/api-upload/start" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"model_name\": \"teapot\",
    \"filenames\": [
        \"mymodel.glb\",
        \"material.mat\"
    ]
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/api-upload/start"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "model_name": "teapot",
    "filenames": [
        "mymodel.glb",
        "material.mat"
    ]
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/api-upload/start'
payload = {
    "model_name": "teapot",
    "filenames": [
        "mymodel.glb",
        "material.mat"
    ]
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Example response (200, success):


{
    "id": 1,
    "links": {
        "s3_upload_urls": {
            "mymodel.glb": "signed url for mymodel.glb",
            "material.mat": "signed url for material.mat"
        },
        "complete_upload": "https://api.rapidcompact.com/api/rawmodels/1/api-upload/complete"
    }
}

Received response:

Request failed with error:

Request

POST api/v1/rawmodel/api-upload/start

Body Parameters

model_name string

The name of the base asset

filenames string[]

The names of the files to be uploaded

is_zip boolean optional

Indicate if the file is a zip

Create Base Asset - Complete Upload

requires authentication

Call this endpoint with the received base asset id from the "Create Base Asset - Get Upload Link" endpoint after uploading the base asset files.

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/rawmodel/281/api-upload/complete" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/281/api-upload/complete"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/281/api-upload/complete'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200):


{
    "data": {
        "id": 281,
        "name": "teapot",
        "processing": false,
        "upload_status": "complete",
        "size": 438680,
        "created_at": "2021-02-08T16:59:52+01:00",
        "rapid_models": [
            635,
            617
        ],
        "scale_factor": "10",
        "downloads": {
            "error.log": "signed url for the error.log",
            "info.log": "signed url for the info.log",
            "metrics.json": "signed url for the metrics.json",
            "rpd_info.json": "signed url for the rpd_info.json",
            "teapot.obj": "signed url for the uploaded file",
            "thumb.jpg": "signed url for the thumb.jpg"
        }
    }
}

Received response:

Request failed with error:

Get Rapid Models

requires authentication

Get all rapid models which were optimized from this base asset

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/rawmodel/1/rapidmodels" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rawmodel/1/rapidmodels"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rawmodel/1/rapidmodels'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200):


{
   "data": [
       {
           "id": 1,
           "name": "teapot",
           "optimization_status": "done",
           "rawmodel": {...},
           "job_status": {...},
           "created_at": "2021-02-16T16:50:41+01:00",
           "updated_at": "2021-02-16T16:50:53+01:00",
           "progress": 100,
           "processing_step": "Done",
           "external": false,
           "rapid_compact_core_version": "5.2.0",
           "tags": [],
           "export_name": "export name",
           "uuid": "d8316d1f-3c7d-4777-b72e-c760064f9d08",
           "accepted": false,
           "meta": {
               "size": 573420,
               "exportSize": 1029548
           },
           "thumbnail": {},
           "rpd_info": "signed url for the rpd_info.json",
           "rpd_warnings": "signed url for the warning.log",
           "rpd_error": "signed url for the error.log",
           "downloads": {
               "glb": "signed url for the .glb"
           }
       }
   ]
}

Received response:

Request failed with error:

Embeds

Get Embeds

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/embeds" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/embeds"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/embeds'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200, success):


{
    "data": [
        {
            "id": 371,
            "name": "Foo",
            "thumbnail": {
                "first": "signed url for the thumbnail",
                "turntable": "signed url for the turntable"
            },
            "embeds": [
                {
                    "id": 163,
                    "name": "Foo Embed",
                    "url": "https://api.rapidcompact.com/viewer?id=123456",
                    "view_count": 0,
                    "created_at": "2021-10-25T19:38:00.000000Z"
                }
            ]
        }
    ]
}

Received response:

Request failed with error:

Get Embed

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/embeds/42" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/embeds/42"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/embeds/42'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200, success):


{
   "data": {
       "id": 42,
       "name": "teapot embed",
       "url": "https://<url>/viewer?id=<:id>",
       "view_count": 24,
       "created_at": "2022-06-27T13:30:30.000000Z",
   }
}

Received response:

Request failed with error:

Create Embed

requires authentication

Create an embed from a rapid model

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/v1/embeds" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"model_id\": 281,
    \"name\": \"\\\"my embeds name\\\"\",
    \"save_user_theme\": false,
    \"config\": \"{\\n     \\\"renderCanvasCSS\\\" : \\\"background:;\\\",\\n     \\\"environmentURL\\\" : \\\"images\\/environment.dds\\\",\\n     \\\"companyLogo\\\" : \\\"data:image\\/png;base64,iVBORw0KGgoAAAANSUh...kSuQmCC\\\",\\n     \\\"companyLogoToggle\\\" : \\\"true\\\",\\n     \\\"companyLink\\\" : \\\"https:\\/\\/dgg3d.com\\\",\\n     \\\"companyLogoCSS\\\" : \\\"width:120px;height:71.3004px;background:;\\\",\\n     \\\"productLogo\\\" : \\\"data:image\\/png;base64,iVBORw0KGgoAAAANSUh...ASUVORK5CYII=\\\",\\n     \\\"productLogoToggle\\\" : \\\"true\\\",\\n     \\\"productLink\\\" : \\\"https:\\/\\/rapidcompact.com\\\",\\n     \\\"productLogoCSS\\\" : \\\"width:120px;height:21.4819px;background:;\\\",\\n     \\\"threeDLogo\\\" : \\\"data:image\\/png;base64,iVBORw0KGgoAAAANSUhEU...OAAAAAElFTkSuQmCC\\\",\\n     \\\"threeDLogoToggle\\\" : \\\"true\\\",\\n     \\\"threeDLogoCSS\\\" : \\\"width:24px;height:24px;background:;\\\",\\n     \\\"interactiveToolsCSS\\\" : \\\"background:;\\\",\\n     \\\"skyBoxEnabled\\\" : \\\"false\\\",\\n     \\\"skyBoxBlur\\\" : \\\"0\\\",\\n     \\\"shadowToggle\\\" : \\\"false\\\",\\n     \\\"shadowOpacity\\\" : \\\"0.5\\\",\\n     \\\"shadowBlur\\\" : \\\"0\\\",\\n     \\\"shadowLightIntensity\\\" : \\\"0.3\\\",\\n     \\\"cameraMinVerticalAngle\\\" : \\\"-90\\\",\\n     \\\"cameraMaxVerticalAngle\\\" : \\\"90\\\",\\n     \\\"cameraMinZoom\\\" : \\\"1\\\",\\n     \\\"cameraMaxZoom\\\" : \\\"6\\\",\\n     \\\"cameraPanning\\\" : \\\"0.5\\\",\\n     \\\"cameraBloom\\\" : \\\"0\\\",\\n     \\\"cameraContrast\\\" : \\\"1\\\",\\n     \\\"cameraExposure\\\" : \\\"1\\\",\\n     \\\"fxaaOn\\\" : \\\"true\\\",\\n     \\\"enableSimpleMeasurement\\\" : \\\"false\\\",\\n     \\\"enableCoordinateDisplay\\\" : \\\"false\\\",\\n     \\\"baseUnit\\\" : \\\"m\\\",\\n     \\\"displayUnit\\\" : \\\"m\\\",\\n     \\\"enableARBtn\\\" : \\\"false\\\",\\n     \\\"enableAnimationControl\\\" : \\\"false\\\",\\n     \\\"animationSpeed\\\" : \\\"1\\\",\\n     \\\"animationIdleTime\\\" : \\\"5\\\",\\n     \\\"backgroundIsGradient\\\" : \\\"false\\\",\\n     \\\"backgroundIsColor\\\" : \\\"false\\\",\\n     \\\"gradientBackgroundColor1\\\" : \\\"#ffffff\\\",\\n     \\\"gradientBackgroundColor2\\\" : \\\"#aaaaaa\\\",\\n     \\\"plainBackgroundColor\\\" : \\\"#ffffff\\\",\\n     \\\"environmentName\\\" : \\\"studio_small\\\",\\n     \\\"baseUnits\\\" : \\\"m,cm,mm,yd,ft,in\\\",\\n     \\\"displayUnits\\\" : \\\"m,cm,mm,yd,ft,in\\\"\\n}\"
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/embeds"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "model_id": 281,
    "name": "\"my embeds name\"",
    "save_user_theme": false,
    "config": "{\n     \"renderCanvasCSS\" : \"background:;\",\n     \"environmentURL\" : \"images\/environment.dds\",\n     \"companyLogo\" : \"data:image\/png;base64,iVBORw0KGgoAAAANSUh...kSuQmCC\",\n     \"companyLogoToggle\" : \"true\",\n     \"companyLink\" : \"https:\/\/dgg3d.com\",\n     \"companyLogoCSS\" : \"width:120px;height:71.3004px;background:;\",\n     \"productLogo\" : \"data:image\/png;base64,iVBORw0KGgoAAAANSUh...ASUVORK5CYII=\",\n     \"productLogoToggle\" : \"true\",\n     \"productLink\" : \"https:\/\/rapidcompact.com\",\n     \"productLogoCSS\" : \"width:120px;height:21.4819px;background:;\",\n     \"threeDLogo\" : \"data:image\/png;base64,iVBORw0KGgoAAAANSUhEU...OAAAAAElFTkSuQmCC\",\n     \"threeDLogoToggle\" : \"true\",\n     \"threeDLogoCSS\" : \"width:24px;height:24px;background:;\",\n     \"interactiveToolsCSS\" : \"background:;\",\n     \"skyBoxEnabled\" : \"false\",\n     \"skyBoxBlur\" : \"0\",\n     \"shadowToggle\" : \"false\",\n     \"shadowOpacity\" : \"0.5\",\n     \"shadowBlur\" : \"0\",\n     \"shadowLightIntensity\" : \"0.3\",\n     \"cameraMinVerticalAngle\" : \"-90\",\n     \"cameraMaxVerticalAngle\" : \"90\",\n     \"cameraMinZoom\" : \"1\",\n     \"cameraMaxZoom\" : \"6\",\n     \"cameraPanning\" : \"0.5\",\n     \"cameraBloom\" : \"0\",\n     \"cameraContrast\" : \"1\",\n     \"cameraExposure\" : \"1\",\n     \"fxaaOn\" : \"true\",\n     \"enableSimpleMeasurement\" : \"false\",\n     \"enableCoordinateDisplay\" : \"false\",\n     \"baseUnit\" : \"m\",\n     \"displayUnit\" : \"m\",\n     \"enableARBtn\" : \"false\",\n     \"enableAnimationControl\" : \"false\",\n     \"animationSpeed\" : \"1\",\n     \"animationIdleTime\" : \"5\",\n     \"backgroundIsGradient\" : \"false\",\n     \"backgroundIsColor\" : \"false\",\n     \"gradientBackgroundColor1\" : \"#ffffff\",\n     \"gradientBackgroundColor2\" : \"#aaaaaa\",\n     \"plainBackgroundColor\" : \"#ffffff\",\n     \"environmentName\" : \"studio_small\",\n     \"baseUnits\" : \"m,cm,mm,yd,ft,in\",\n     \"displayUnits\" : \"m,cm,mm,yd,ft,in\"\n}"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/embeds'
payload = {
    "model_id": 281,
    "name": "\"my embeds name\"",
    "save_user_theme": false,
    "config": "{\n     \"renderCanvasCSS\" : \"background:;\",\n     \"environmentURL\" : \"images\/environment.dds\",\n     \"companyLogo\" : \"data:image\/png;base64,iVBORw0KGgoAAAANSUh...kSuQmCC\",\n     \"companyLogoToggle\" : \"true\",\n     \"companyLink\" : \"https:\/\/dgg3d.com\",\n     \"companyLogoCSS\" : \"width:120px;height:71.3004px;background:;\",\n     \"productLogo\" : \"data:image\/png;base64,iVBORw0KGgoAAAANSUh...ASUVORK5CYII=\",\n     \"productLogoToggle\" : \"true\",\n     \"productLink\" : \"https:\/\/rapidcompact.com\",\n     \"productLogoCSS\" : \"width:120px;height:21.4819px;background:;\",\n     \"threeDLogo\" : \"data:image\/png;base64,iVBORw0KGgoAAAANSUhEU...OAAAAAElFTkSuQmCC\",\n     \"threeDLogoToggle\" : \"true\",\n     \"threeDLogoCSS\" : \"width:24px;height:24px;background:;\",\n     \"interactiveToolsCSS\" : \"background:;\",\n     \"skyBoxEnabled\" : \"false\",\n     \"skyBoxBlur\" : \"0\",\n     \"shadowToggle\" : \"false\",\n     \"shadowOpacity\" : \"0.5\",\n     \"shadowBlur\" : \"0\",\n     \"shadowLightIntensity\" : \"0.3\",\n     \"cameraMinVerticalAngle\" : \"-90\",\n     \"cameraMaxVerticalAngle\" : \"90\",\n     \"cameraMinZoom\" : \"1\",\n     \"cameraMaxZoom\" : \"6\",\n     \"cameraPanning\" : \"0.5\",\n     \"cameraBloom\" : \"0\",\n     \"cameraContrast\" : \"1\",\n     \"cameraExposure\" : \"1\",\n     \"fxaaOn\" : \"true\",\n     \"enableSimpleMeasurement\" : \"false\",\n     \"enableCoordinateDisplay\" : \"false\",\n     \"baseUnit\" : \"m\",\n     \"displayUnit\" : \"m\",\n     \"enableARBtn\" : \"false\",\n     \"enableAnimationControl\" : \"false\",\n     \"animationSpeed\" : \"1\",\n     \"animationIdleTime\" : \"5\",\n     \"backgroundIsGradient\" : \"false\",\n     \"backgroundIsColor\" : \"false\",\n     \"gradientBackgroundColor1\" : \"#ffffff\",\n     \"gradientBackgroundColor2\" : \"#aaaaaa\",\n     \"plainBackgroundColor\" : \"#ffffff\",\n     \"environmentName\" : \"studio_small\",\n     \"baseUnits\" : \"m,cm,mm,yd,ft,in\",\n     \"displayUnits\" : \"m,cm,mm,yd,ft,in\"\n}"
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Example response (201, success):

Received response:

Request failed with error:

Request

POST api/v1/embeds

Body Parameters

model_id integer

The id of the rapid model

name string

The name of your embed

save_user_theme boolean optional

Saves the configurator config

config string optional

The viewer configuration. Must be a valid JSON string

Delete Embed

requires authentication

Example request:

curl --request DELETE \
    "https://api.rapidcompact.com/api/v1/embeds/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/embeds/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "DELETE",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/embeds/281'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('DELETE', url, headers=headers)
response.json()

Example response (204, success):

[Empty response]

Received response:

Request failed with error:

Presets

Create Preset

requires authentication

The "Try it out" feature for this endpoint doesn't work, because the config gets sent as a string, but it needs to be a json object. Please check the example request on the right side

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/preset/create" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"name\": \"name of the new preset\",
    \"rapidCompactCoreVersion\": \"5.2.0\",
    \"config\": {
        \"workflowSettings\": {
            \"targetMeshResolution\": {
                \"faceCount\": 30000
            },
            \"targetTextureResolution\": {
                \"baseColor\": 2048,
                \"emissive\": 2048,
                \"normal\": 2048,
                \"orm\": 2048
            }
        },
        \"assetSimplification\": {
            \"meshDecimation\": {
                \"method\": \"rebake\"
            },
            \"topologySettings\": {
                \"vertexMergingDistance\": 0.005,
                \"meshDensityEqualization\": 0,
                \"boundaryPreservationFactor\": 0.5
            },
            \"uvAndAtlasSettings\": {
                \"uvStretchTolerance\": 0
            },
            \"materialAndTextureBaking\": {
                \"bakingQuality\": \"medium\",
                \"bakeNormalMap\": true,
                \"bakeAOMap\": false
            }
        },
        \"compressionAndExport\": {
            \"fileExports\": [
                {
                    \"fileType\": \"glb\",
                    \"meshCompressionMethod\": \"none\",
                    \"customScaling\": 1,
                    \"textureFormat\": {
                        \"baseColor\": \"auto\",
                        \"emissive\": \"auto\",
                        \"normal\": \"png\",
                        \"orm\": \"auto\"
                    }
                }
            ]
        }
    }
}"

const url = new URL(
    "https://api.rapidcompact.com/api/preset/create"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "name": "name of the new preset",
    "rapidCompactCoreVersion": "5.2.0",
    "config": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    }
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/preset/create'
payload = {
    "name": "name of the new preset",
    "rapidCompactCoreVersion": "5.2.0",
    "config": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    }
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Update Preset

requires authentication

The "Try it out" feature for this endpoint doesn't work, because the config gets sent as a string, but it needs to be a json object. Please check the example request on the right side

Example request:

curl --request PATCH \
    "https://api.rapidcompact.com/api/preset/update" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"id\": 42,
    \"name\": \"name of the new preset\",
    \"config\": {
        \"workflowSettings\": {
            \"targetMeshResolution\": {
                \"faceCount\": 30000
            },
            \"targetTextureResolution\": {
                \"baseColor\": 2048,
                \"emissive\": 2048,
                \"normal\": 2048,
                \"orm\": 2048
            }
        },
        \"assetSimplification\": {
            \"meshDecimation\": {
                \"method\": \"rebake\"
            },
            \"topologySettings\": {
                \"vertexMergingDistance\": 0.005,
                \"meshDensityEqualization\": 0,
                \"boundaryPreservationFactor\": 0.5
            },
            \"uvAndAtlasSettings\": {
                \"uvStretchTolerance\": 0
            },
            \"materialAndTextureBaking\": {
                \"bakingQuality\": \"medium\",
                \"bakeNormalMap\": true,
                \"bakeAOMap\": false
            }
        },
        \"compressionAndExport\": {
            \"fileExports\": [
                {
                    \"fileType\": \"glb\",
                    \"meshCompressionMethod\": \"none\",
                    \"customScaling\": 1,
                    \"textureFormat\": {
                        \"baseColor\": \"auto\",
                        \"emissive\": \"auto\",
                        \"normal\": \"png\",
                        \"orm\": \"auto\"
                    }
                }
            ]
        }
    }
}"

const url = new URL(
    "https://api.rapidcompact.com/api/preset/update"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "id": 42,
    "name": "name of the new preset",
    "config": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    }
};

fetch(url, {
    method: "PATCH",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/preset/update'
payload = {
    "id": 42,
    "name": "name of the new preset",
    "config": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    }
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('PATCH', url, headers=headers, json=payload)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Convert Preset

requires authentication

Convert a preset in API format to CLI format. The endpoint will return a zip file containing the requested files. The "Try it out" feature for this endpoint doesn't work, because the config gets sent as a string, but it needs to be a json object. Please check the example request on the right side

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/preset/rpdx" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"preset\": {
        \"workflowSettings\": {
            \"targetMeshResolution\": {
                \"faceCount\": 30000
            },
            \"targetTextureResolution\": {
                \"baseColor\": 2048,
                \"emissive\": 2048,
                \"normal\": 2048,
                \"orm\": 2048
            }
        },
        \"assetSimplification\": {
            \"meshDecimation\": {
                \"method\": \"rebake\"
            },
            \"topologySettings\": {
                \"vertexMergingDistance\": 0.005,
                \"meshDensityEqualization\": 0,
                \"boundaryPreservationFactor\": 0.5
            },
            \"uvAndAtlasSettings\": {
                \"uvStretchTolerance\": 0
            },
            \"materialAndTextureBaking\": {
                \"bakingQuality\": \"medium\",
                \"bakeNormalMap\": true,
                \"bakeAOMap\": false
            }
        },
        \"compressionAndExport\": {
            \"fileExports\": [
                {
                    \"fileType\": \"glb\",
                    \"meshCompressionMethod\": \"none\",
                    \"customScaling\": 1,
                    \"textureFormat\": {
                        \"baseColor\": \"auto\",
                        \"emissive\": \"auto\",
                        \"normal\": \"png\",
                        \"orm\": \"auto\"
                    }
                }
            ]
        }
    }
}"

const url = new URL(
    "https://api.rapidcompact.com/api/preset/rpdx"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "preset": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    }
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/preset/rpdx'
payload = {
    "preset": {
        "workflowSettings": {
            "targetMeshResolution": {
                "faceCount": 30000
            },
            "targetTextureResolution": {
                "baseColor": 2048,
                "emissive": 2048,
                "normal": 2048,
                "orm": 2048
            }
        },
        "assetSimplification": {
            "meshDecimation": {
                "method": "rebake"
            },
            "topologySettings": {
                "vertexMergingDistance": 0.005,
                "meshDensityEqualization": 0,
                "boundaryPreservationFactor": 0.5
            },
            "uvAndAtlasSettings": {
                "uvStretchTolerance": 0
            },
            "materialAndTextureBaking": {
                "bakingQuality": "medium",
                "bakeNormalMap": true,
                "bakeAOMap": false
            }
        },
        "compressionAndExport": {
            "fileExports": [
                {
                    "fileType": "glb",
                    "meshCompressionMethod": "none",
                    "customScaling": 1,
                    "textureFormat": {
                        "baseColor": "auto",
                        "emissive": "auto",
                        "normal": "png",
                        "orm": "auto"
                    }
                }
            ]
        }
    }
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Example response (200, success):


<Zip File> Streamed Response

Received response:

Request failed with error:

Get Preset in CLI Format

requires authentication

The endpoint will return a zip file containing the requested files

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/preset/rpdx/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/preset/rpdx/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/preset/rpdx/281'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200, success):


<Zip File> Streamed Response

Received response:

Request failed with error:

Get Preset

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/preset/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/preset/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/preset/281'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200, success):


{
    "id": 11,
    "name": "preset 2",
    "config": "{\"workflowSettings\":{\"targetMeshResolution\":{\"facePercentage\":50},\"targetTextureResolution\":{\"baseColor\":2048,\"emissive\":2048,\"normal\":2048,\"orm\":2048}},\"assetSimplification\":{\"meshDecimation\":{\"method\":\"rebake\"},\"topologySettings\":{\"vertexMergingDistance\":0.005,\"meshDensityEqualization\":0,\"boundaryPreservationFactor\":0.5},\"uvAndAtlasSettings\":{\"uvStretchTolerance\":0},\"materialAndTextureBaking\":{\"bakingQuality\":\"medium\",\"bakeNormalMap\":true,\"bakeAOMap\":false}},\"compressionAndExport\":{\"fileExports\":[{\"fileType\":\"glb\",\"meshCompressionMethod\":\"none\",\"customScaling\":1,\"textureFormat\":{\"baseColor\":\"auto\",\"emissive\":\"auto\",\"normal\":\"auto\",\"orm\":\"auto\"}},{\"fileType\":\"usdz\",\"meshCompressionMethod\":\"none\",\"customScaling\":1,\"textureFormat\":{\"baseColor\":\"auto\",\"emissive\":\"auto\",\"normal\":\"auto\",\"orm\":\"auto\"}}]}}",
    "rpdx_version": "4.4.0",
    "user_id": 328,
    "created_at": "2021-04-22T09:11:30.000000Z",
    "updated_at": "2021-04-22T09:11:30.000000Z"
}

Received response:

Request failed with error:

Delete Preset

requires authentication

Example request:

curl --request DELETE \
    "https://api.rapidcompact.com/api/preset/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/preset/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "DELETE",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/preset/281'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('DELETE', url, headers=headers)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Get all Presets

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/preset" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/preset"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/preset'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200, success):


[
    {
        "id": 11,
        "name": "preset 2",
        "config": "{\"workflowSettings\":{\"targetMeshResolution\":{\"facePercentage\":50},\"targetTextureResolution\":{\"baseColor\":2048,\"emissive\":2048,\"normal\":2048,\"orm\":2048}},\"assetSimplification\":{\"meshDecimation\":{\"method\":\"rebake\"},\"topologySettings\":{\"vertexMergingDistance\":0.005,\"meshDensityEqualization\":0,\"boundaryPreservationFactor\":0.5},\"uvAndAtlasSettings\":{\"uvStretchTolerance\":0},\"materialAndTextureBaking\":{\"bakingQuality\":\"medium\",\"bakeNormalMap\":true,\"bakeAOMap\":false}},\"compressionAndExport\":{\"fileExports\":[{\"fileType\":\"glb\",\"meshCompressionMethod\":\"none\",\"customScaling\":1,\"textureFormat\":{\"baseColor\":\"auto\",\"emissive\":\"auto\",\"normal\":\"auto\",\"orm\":\"auto\"}},{\"fileType\":\"usdz\",\"meshCompressionMethod\":\"none\",\"customScaling\":1,\"textureFormat\":{\"baseColor\":\"auto\",\"emissive\":\"auto\",\"normal\":\"auto\",\"orm\":\"auto\"}}]}}",
        "rpdx_version": "4.4.0",
        "user_id": 328,
        "created_at": "2021-04-22T09:11:30.000000Z",
        "updated_at": "2021-04-22T09:11:30.000000Z"
    },
    {
        "id": 12,
        "name": "test",
        "config": "{\"workflowSettings\":{\"targetMeshResolution\":{\"facePercentage\":50},\"targetTextureResolution\":{\"baseColor\":2048,\"emissive\":2048,\"normal\":2048,\"orm\":2048}},\"assetSimplification\":{\"meshDecimation\":{\"method\":\"rebake\"},\"topologySettings\":{\"vertexMergingDistance\":0.005,\"meshDensityEqualization\":0,\"boundaryPreservationFactor\":0.5},\"uvAndAtlasSettings\":{\"uvStretchTolerance\":0},\"materialAndTextureBaking\":{\"bakingQuality\":\"medium\",\"bakeNormalMap\":true,\"bakeAOMap\":false}},\"compressionAndExport\":{\"fileExports\":[{\"fileType\":\"glb\",\"meshCompressionMethod\":\"none\",\"customScaling\":1,\"textureFormat\":{\"baseColor\":\"ktx2\",\"emissive\":\"ktx2\",\"normal\":\"ktx2\",\"orm\":\"ktx2\"}},{\"fileType\":\"usdz\",\"meshCompressionMethod\":\"none\",\"customScaling\":1,\"textureFormat\":{\"baseColor\":\"auto\",\"emissive\":\"auto\",\"normal\":\"auto\",\"orm\":\"auto\"}}]}}",
        "rpdx_version": "4.4.0",
        "user_id": 328,
        "created_at": "2021-04-22T11:56:29.000000Z",
        "updated_at": "2021-04-22T11:56:29.000000Z"
    },
    {
        "id": 13,
        "name": "Preset Name",
        "config": "{\"workflowSettings\":{\"targetMeshResolution\":{\"facePercentage\":50},\"targetTextureResolution\":{\"baseColor\":2048,\"emissive\":2048,\"normal\":2048,\"orm\":2048}},\"assetSimplification\":{\"meshDecimation\":{\"method\":\"rebake\"},\"topologySettings\":{\"vertexMergingDistance\":0.005,\"meshDensityEqualization\":0,\"boundaryPreservationFactor\":0.5},\"uvAndAtlasSettings\":{\"uvStretchTolerance\":0},\"materialAndTextureBaking\":{\"bakingQuality\":\"medium\",\"bakeNormalMap\":true,\"bakeAOMap\":false}},\"compressionAndExport\":{\"fileExports\":[{\"fileType\":\"glb\",\"meshCompressionMethod\":\"none\",\"customScaling\":1,\"textureFormat\":{\"baseColor\":\"auto\",\"emissive\":\"auto\",\"normal\":\"auto\",\"orm\":\"auto\"}},{\"fileType\":\"usdz\",\"meshCompressionMethod\":\"none\",\"customScaling\":1,\"textureFormat\":{\"baseColor\":\"auto\",\"emissive\":\"auto\",\"normal\":\"auto\",\"orm\":\"auto\"}}]}}",
        "rpdx_version": "4.4.0",
        "user_id": 328,
        "created_at": "2021-04-26T07:11:17.000000Z",
        "updated_at": "2021-04-26T07:11:17.000000Z"
    }
]

Received response:

Request failed with error:

Rapid Model

Get Rapid Models

requires authentication

Paginated response of your rapid models. Search for rapid models by name or tag

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/rapidmodel?q=yourSearchString" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rapidmodel"
);

const params = {
    "q": "yourSearchString",
};
Object.keys(params)
    .forEach(key => url.searchParams.append(key, params[key]));

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rapidmodel'
params = {
  'q': 'yourSearchString',
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers, params=params)
response.json()

Example response (200, success):


{
   "data": [
       {
           "id": 1,
           "name": "teapot ",
           "optimization_status": "done",
           "rawmodel": {
               "id": 1,
               "name": "teapot",
               "processing": false,
               "external": false,
               "upload_status": "complete",
               "size": 315088,
               "created_at": "2022-05-24T15:05:47+02:00",
               "rapid_models": [
                   1
               ],
               "scale_factor": "1",
               "has_errors": true,
               "tags": [
                   {
                       "id": 1,
                       "name": "Low-Poly",
                       "created_at": "2022-05-24T13:06:03.000000Z",
                       "updated_at": "2022-05-24T13:06:03.000000Z",
                       "pivot": {
                           "rawmodel_id": 1,
                           "tag_id": 1
                       }
                   }
               ],
               "downloads": {
                  "error.log": "signed url for the error.log",
                  "info.log": "signed url for info.log",
                  "metrics.json": "signed url for the metrics.json",
                  "rpd_info.json": "signed url for the rpd_info.json",
                  "teapot.fbx": "signed url for the teapot.obj",
                  "thumb.jpg": "signed url for the thumb.jpg",
                  "warning.log": "signed url for the warning.log"
              }
           },
           "job_status": {
               "id": 1,
               "job_id": "bda10749-4fa2-4888-be4a-735cd06068fe",
               "type": "App\\Jobs\\ProcessRawModel",
               "queue": "default",
               "attempts": 1,
               "progress_now": 100,
               "progress_max": 100,
               "status": "finished",
               "input": null,
               "output": {
                   "exit_code": 0
               },
               "created_at": "2022-05-24T14:28:56.000000Z",
               "updated_at": "2022-05-24T14:29:11.000000Z",
               "started_at": "2022-05-24T14:28:57.000000Z",
               "finished_at": "2022-05-24T14:29:11.000000Z",
               "key": "rapid_model:1"
           },
           "created_at": "2022-05-24T16:28:56+02:00",
           "updated_at": "2022-05-24T16:29:11+02:00",
           "progress": 100,
           "processing_step": "Done",
           "external": false,
           "rapid_compact_core_version": "5.2.0",
           "tags": [
               {
                   "id": 1,
                   "name": "Low-Poly",
                   "created_at": "2022-05-24T13:06:03.000000Z",
                   "updated_at": "2022-05-24T13:06:03.000000Z",
                   "pivot": {
                       "3dmodel_id": 1,
                       "tag_id": 1
                   }
               },
           ],
           "export_name": "teapot_1",
           "uuid": "f26cf299-c8df-4d4d-9eef-3f8e87d882b7",
           "accepted": false,
           "meta": {
               "size": 665168,
               "exportSize": 1495763
           },
           "origin": "",
           "thumbnail": {
               "first": "signed url",
               "turntable": "signed url"
           },
           "model": {
               "rootUrl": "rootURL",
               "fileName": "fileName"
           },
           "rpd_info": "signed url",
           "rpd_warnings": "signed url",
           "rpd_errors": "signed url",
           "downloads": {
               "usdz": "signed url",
               "glb": "signed url",
               "all": {
                   "rapid.glb": "signed url",
                   "rapid.usdz": "signed url"
               }
           }
       }
   ],
   "links": {
       "first": "https://url/api/v1/rapidmodel?page=1",
       "last": "https://url/api/v1/rapidmodel?page=1",
       "prev": null,
       "next": null
   },
   "meta": {
       "current_page": 1,
       "from": 1,
       "last_page": 1,
       "links": [
           {
               "url": null,
               "label": "&laquo; Previous",
               "active": false
           },
           {
               "url": "https://url/api/v1/rapidmodel?page=1",
               "label": "1",
               "active": true
           },
           {
               "url": null,
               "label": "Next &raquo;",
               "active": false
           }
       ],
       "path": "https://url/api/v1/rapidmodel",
       "per_page": 12,
       "to": 1,
       "total": 1
   }
}

Received response:

Request failed with error:

Get Rapid Model

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/rapidmodel/635" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rapidmodel/635"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rapidmodel/635'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200):


{
    "data": {
        "id": 635,
        "name": "teapot ",
        "optimization_status": "done",
        "created_at": "2021-02-16T16:50:41+01:00",
        "updated_at": "2021-02-16T16:50:53+01:00",
        "progress": 100,
        "processing_step": "Done",
        "external": false,
        "rapid_compact_core_version": "4.3.0",
        "tags": [],
        "uuid": "d8316d1f-3c7d-4777-b72e-c760064f9d08",
        "accepted": false,
        "meta": {
            "size": 573420,
            "exportSize": 1029548
        },
        "rpd_info": "signed url for rpd_info.json",
        "rpd_warnings": "signed url for the warning.log",
        "downloads": {
            "glb": "signed url for the .glb"
        }
    }
}

Received response:

Request failed with error:

Delete Rapid Model

requires authentication

Example request:

curl --request DELETE \
    "https://api.rapidcompact.com/api/v1/rapidmodel/635" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rapidmodel/635"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "DELETE",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rapidmodel/635'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('DELETE', url, headers=headers)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Get Export Infos

requires authentication

Calling this endpoint return a list of links to download the exports and their respective infos

Please note that the export infos are generated only for glb and lgtf formats

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/rapidmodel/695/exports" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rapidmodel/695/exports"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rapidmodel/695/exports'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200):


{
    "data": {
        "rapid.glb": {
            "download": "link to rapid.glb",
            "info": {
                "images": [
                    {
                        "channels": 3,
                        "height": 2048,
                        "mimetype": "image/jpeg",
                        "slot": "normal",
                        "width": 2048
                    }
                ]
            }
        },
        "rapid.usdz": {
            "download": "link to rapid.usdz",
            "info": null
        }
    }
}

Received response:

Request failed with error:

Delete Tag of a Rapid Model

requires authentication

Example request:

curl --request DELETE \
    "https://api.rapidcompact.com/api/v1/rapidmodel/281/tags/2" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rapidmodel/281/tags/2"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "DELETE",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rapidmodel/281/tags/2'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('DELETE', url, headers=headers)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Add Tags to a Rapid Model

requires authentication

Example request:

curl --request PUT \
    "https://api.rapidcompact.com/api/v1/rapidmodel/281" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"tags\": [
        \"chair\",
        \"brown\"
    ]
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rapidmodel/281"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "tags": [
        "chair",
        "brown"
    ]
};

fetch(url, {
    method: "PUT",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rapidmodel/281'
payload = {
    "tags": [
        "chair",
        "brown"
    ]
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('PUT', url, headers=headers, json=payload)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Delete Multiple Rapid Models

requires authentication

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/v1/rapidmodel/delete" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"ids\": [
        726,
        324
    ]
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/rapidmodel/delete"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "ids": [
        726,
        324
    ]
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/rapidmodel/delete'
payload = {
    "ids": [
        726,
        324
    ]
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Example response (200, success):

Received response:

Request failed with error:

User

Returns a token that can be used for calling other endpoints

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/login" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"email\": \"yourname@example.com\",
    \"password\": \"your password\"
}"

const url = new URL(
    "https://api.rapidcompact.com/api/login"
);

const headers = {
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "email": "yourname@example.com",
    "password": "your password"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/login'
payload = {
    "email": "yourname@example.com",
    "password": "your password"
}
headers = {
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Received response:

Request failed with error:

Delete Account

requires authentication

Delete the user account and all the data associated with it

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/user/delete" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"password\": \"your password\"
}"

const url = new URL(
    "https://api.rapidcompact.com/api/user/delete"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "password": "your password"
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/user/delete'
payload = {
    "password": "your password"
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Webhooks

RapidCompact uses webhooks to notify your application when an event happens in your account. Webhooks are particularly useful for optimization events. Instead of polling the API to know the status of your optimization, RapidCompact sends an optimization_finished event to your webhook

Begin using webhooks with your RapidCompact integration in just three steps:

Create a webhook endpoint on your server
Register the endpoint with RapidCompact to go live
Test your endpoint by clicking the test button in the webhooks page
What are webhooks

The webhook endpoint is just more code on your server, which could be written in Ruby, PHP, Node.js, or whatever. The webhook endpoint has an associated URL (e.g., https://example.com/webhooks). The Rapid Compact notifications are Event objects. This Event object contains all the relevant information about what just happened, including the type of event and the data associated with that event. The webhook endpoint uses the event details to take any required actions, such as indicating that an optimization should be done.

Validation

In order to validate an incoming webhook event you need to first set up a secret when creating it on RapidCompact. This secret will be used to sign the body and send the signature as part of the requests header. You can use this secret on your receiving endpoint to validate the content of the body by signing it with the same secret. For an example check out this repository: https://github.com/DGG3D/webhook-api-example

Optimization Events

Currently RapidCompact sends one type of events: optimization_finished. You can see an example on the right side

  {
   "event_type": "optimization_finished",
   "timestamp": "2021-02-19T15:03:08.076920Z",
   "data": {
     "status": "Successful",
     "message": "Optimization has ended and your rapid model is available to download.",
     "rawmodel_id": 1961,
     "rapidmodel_id": 4213,
     "rapidmodel": {
       "rapid.glb": "link to rapid model"
     }
   }
 }

Get Webhooks

requires authentication

Example request:

curl --request GET \
    --get "https://api.rapidcompact.com/api/v1/user/webhooks" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/user/webhooks"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "GET",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/user/webhooks'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('GET', url, headers=headers)
response.json()

Example response (200, success):


[
    {
        "id": 6,
        "user_id": 303,
        "url": "https://mywebhookurl.com",
        "last_called_at": "2021-10-26T09:45:47.000000Z",
        "created_at": "2021-10-26T09:45:47.000000Z",
        "updated_at": "2021-10-26T09:45:47.000000Z",
        "secret": "secret",
        "last_status": null,
        "verify_ssl": true,
        "failed_calls": 0,
        "notified_at": null
    }
]

Received response:

Request failed with error:

Create Webhook

requires authentication

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/v1/user/webhooks" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json" \
    --data "{
    \"url\": \"https:\\/\\/example.com\\/webhook\",
    \"secret\": \"my secret\",
    \"verify_ssl\": true
}"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/user/webhooks"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

let body = {
    "url": "https:\/\/example.com\/webhook",
    "secret": "my secret",
    "verify_ssl": true
};

fetch(url, {
    method: "POST",
    headers,
    body: JSON.stringify(body),
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/user/webhooks'
payload = {
    "url": "https:\/\/example.com\/webhook",
    "secret": "my secret",
    "verify_ssl": true
}
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers, json=payload)
response.json()

Example response (200, success):


{
    "id": 6,
    "user_id": 303,
    "url": "https://example.com/webhook",
    "last_called_at": "2021-10-26T09:45:47.000000Z",
    "created_at": "2021-10-26T09:45:47.000000Z",
    "updated_at": "2021-10-26T09:45:47.000000Z",
    "secret": "aut",
    "last_status": null,
    "verify_ssl": true,
    "failed_calls": 0,
    "notified_at": null
}

Example response (500, Maximum number of tags reached):


[
 "code": 1,
 "message": "Maximum number of webhooks allowed already created"
]

Received response:

Request failed with error:

Request

POST api/v1/user/webhooks

Body Parameters

url string

The url of the webhook

secret string optional

A secret to be sent in the header of webhook requests

verify_ssl boolean

Whether to verify ssl or not

Delete Webhook

requires authentication

Example request:

curl --request DELETE \
    "https://api.rapidcompact.com/api/v1/user/webhooks/1" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/user/webhooks/1"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "DELETE",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/user/webhooks/1'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('DELETE', url, headers=headers)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Test Webhook

requires authentication

A test event will be sent to the webhook to make sure it is accessible and can receive events

Call the "Test Webhook" endpoint again to see if the webhook was successfully invoked

Example request:

curl --request POST \
    "https://api.rapidcompact.com/api/v1/user/webhooks/test/1" \
    --header "Authorization: Bearer {YOUR_AUTH_KEY}" \
    --header "Content-Type: application/json" \
    --header "Accept: application/json"

const url = new URL(
    "https://api.rapidcompact.com/api/v1/user/webhooks/test/1"
);

const headers = {
    "Authorization": "Bearer {YOUR_AUTH_KEY}",
    "Content-Type": "application/json",
    "Accept": "application/json",
};

fetch(url, {
    method: "POST",
    headers,
}).then(response => response.json());

import requests
import json

url = 'https://api.rapidcompact.com/api/v1/user/webhooks/test/1'
headers = {
  'Authorization': 'Bearer {YOUR_AUTH_KEY}',
  'Content-Type': 'application/json',
  'Accept': 'application/json'
}

response = requests.request('POST', url, headers=headers)
response.json()

Example response (200, success):

Received response:

Request failed with error:

Introduction

Authenticating requests

API Tokens

Get Tokens

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Create Token

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Body Parameters

Delete Token

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Get Token

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Base Asset

Get Running Jobs

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Process [Deprecated]

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Body Parameters

Optimize

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Body Parameters

Get Base Asset

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Delete Base Asset

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Delete Tag of a Base Asset

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Get Base Assets

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Query Parameters

Update Base Asset

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Body Parameters

Delete Multiple Base Assets

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Body Parameters

Create Base Asset - Get Upload Link

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Body Parameters

Create Base Asset - Complete Upload

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Get Rapid Models

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Embeds

Get Embeds

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Get Embed

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Create Embed

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Body Parameters

Delete Embed

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Presets

Create Preset

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Body Parameters

Update Preset

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Body Parameters

Convert Preset

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Body Parameters

Get Preset in CLI Format

Request Try it out ⚡ Cancel 🛑 Send Request 💥

URL Parameters

Get Preset

Request Try it out ⚡ Cancel 🛑 Send Request 💥

Request

Request

Request

Request

Request

Request

Request

Request

Request

Request

Request

Request

Request

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