Developer Documentation. API integration

Using our API, you can use the EasyPackMaker engine to integrate in your web application. The API uses HTTP as the main protocol, which means it is suitable for development in any programming language that can work with HTTP libraries (cURL and others).

The API supports POST requests that use JSON arguments. The API always returns a response in JSON format.

To get access you need:

  • Register or log in to our site, if necessary.
  • In your Personal Account, read and accept the End User License Agreement.
  • Send us an API activation request via the feedback form. Describe how you will use our interface.
  • After reviewing your request, the account will switch to API mode*.
  • You will receive a service access code ("API Password" in Personal Account) and implement interaction.

* After switching, using the account in normal mode is not possible.

Connection implementation example (PHP).

Request creation

Description

The method creates a request to the API and, if successful, returns the calculated packaging model, a list of all available models or description of the model.

Method POST
URL https://easypackmaker.com/generator/api
Response format JSON

Request example:

  curl https://easypackmaker.com/generator/api \
  -X POST \
  -H 'Content-Type: application/json' \
  -d '{
        "UserName":"API_User",
        "Token":"3755969ffd8edfa45d3591598a47e0d2584b74a5d3f837508ff960a24e3dc9ee",
        "GetCatalog":"all"
      }'
Requests

Getting the model:

Parameters Description Type Required
UserName The Username registered as an API user. string(255) Yes
Token See Request Signature. string Yes
OrderId Order ID in the customer system. string(20) Yes
ModelId The identifier of the model. All identifiers are presented in the table. number(4) Yes*
ModelName The name of the model. All available names are presented in the table. string(20) Yes*
ModelParams An array of data on the main parameters of the model. All sizes, material thickness and units. See Structure of the ModelParams Object. object Yes
ModelOptions Array of data of additional model parameters. Glue areas, information about knives, shape of elements, etc. See Structure of the ModelOptions Object. object Yes
PreviewOnly Getting a PNG image for preview. The cost for API Basic is 1/10 of the cost of the model. Free for monthly subscriptions. bool No
SizesOnly Getting dimensions and information about knives. The cost for API Basic is 1/10 of the cost of the model. Free for monthly subscriptions. bool No

* One of ModelId or ModelName is required. If both parameters are specified, search will be made by ModelId.

Getting the models catalog:

Parameters Description Type Required
UserName The Username registered as an API user. string(255) Yes
Token See Request Signature. string Yes
GetCatalog The name of the Catalog. Can take the following values: "all", "ecma", "fefco", "envFoldBag". string(20) Yes
Language* The language in which the description of the model will be displayed. Can take values: "en", "ru". The default is "en". string(2) No

Getting a complete description of the model and a list of required parameters and options:

Parameters Description Type Required
UserName The Username registered as an API user. string(255) Yes
Token See Request Signature. string Yes
GetModelById The identifier of the model. All identifiers are presented in the table. number(4) Yes**
GetModelByName The name of the model. All available names are presented in the table. string(20) Yes**
Language* The language in which the description of the model will be displayed. Can take values: "en", "ru". The default is "en". string(2) No

* System messages and error messages are always displayed in English.
** One of GetModelById or GetModelByName is required. If both parameters are specified, search will be made by GetModelById.

Change the color of lines in a drawing:

Parameters Description Type Required
UserName The Username registered as an API user. string(255) Yes
Token See Request Signature. string Yes
LinesColors An array containing the line colors. To return to the default colors, use the "reset" value. object / string(20) Yes

Request examples:

{
   "UserName":"API_User",
   "Token":"83c2db45477dcdc8a9dfed63781cc8f83bf1702b6cc39f1563587fa47b48c23b",
   "OrderId":"1001",
   "ModelId":"66",
   "PreviewOnly":true,
   "SizesOnly":true,
   "ModelParams":
   {
      "L":"100",
      "W":"50",
      "D":"150",
      "Th":"0.5",
      "Units":"mm"
   },
   "ModelOptions":
   {
      "DimensionType":"Crease",
      "KnifeInfo":true,
      "GlueZone":false,
      "Sizes":true
   }
}

{
   "UserName":"API_User",
   "Token":"bef491bc3342e46e91846fbe5a2820857c13a4eacd5123630cb0595cca277c2b",
   "OrderId":"1002",
   "ModelName":"fefco_0200",
   "ModelParams":
   {
      "L":"250",
      "W":"200",
      "D":"150",
      "Th":"4",
      "Units":"mm"
   },
   "ModelOptions":
   {
      "FluteDir":"Vertical",
      "DimensionType":"In",
      "GlueZone":false,
      "KnifeInfo":true,
      "Sizes":true,
      "GlueFlapCorr":true
   }
}

{
   "UserName":"API_User",
   "Token":"edf3a935a374880acc6cd0e08867c80fa06df73ce14e18a6d66f99eaee2faf15",
   "OrderId":"1003",
   "ModelName":"Env_C5",
   "ModelParams":null,
   "ModelOptions":
   {
      "GlueZone":false,
      "KnifeInfo":true,
      "Sizes":true
   }
}

{
   "UserName":"API_User",
   "Token":"3755969ffd8edfa45d3591598a47e0d2584b74a5d3f837508ff960a24e3dc9ee",
   "GetCatalog":"all"
}

{
   "UserName":"API_User",
   "Token":"0de2f8c64482571fcc64a0682f38e2862f680242a4c67cb73c3b40dd5857b518",
   "GetModelByName":"A61_45_01_01"
}

{
   "UserName":"API_User",
   "Token":"46e1c73830a216276a5bf657b551f09a2223ad84b55d2b82b8b743a98910a8f0",
   "GetModelById":"66"
}

{
   "UserName":"API_User",
   "Token":"c8960bac2e51c4865cbcf33284da796af340378798fcb2e6537f42308e3b0cac",
   "LinesColors": 
   {
      "cutColor":"#b65d5d",
      "creaseColor":"#4cae4c",
      "perforationColor":"#9b9b4b",
      "zipperColor":"#3c8080",
      "infoColor":"#00438a"
   }
}

{
   "UserName":"API_User",
   "Token":"59c9be32f2d1f6e167d84a26d48968aa45557dee6a87596b02f0f71a915ddd4d",
   "LinesColors":"reset"
}

Receiving a response

Response
Parameters Description Type Required
Status Model calculation status. Possible values: "Success", "Failed". string(20) Yes
ErrorCode Error code. If no error has occurred, the value "0" is returned. number(2) Yes
Details Error description or any additional information. string No
Model The calculated model. The data is encoded in MIME base64 format. To obtain a model in PDF format, use the MIME base64 decoding function. string No
Preview Preview image. In the case of a multipage PFD, the parameter will contain an array of strings. The data is encoded in MIME base64 format. To obtain a file in PNG format, use the MIME base64 decoding function. string No
Sizes An array containing the dimensions and information about the knives. object No
ModelsCatalog An array containing a list of all available models with descriptions. Returned when a request GetCatalog. object No
ModelVariables An array containing detailed description, keywords and a list of required parameters and options of the model. All "DefaultsValues" and "ValidationRules" dimensions are in millimeters. Returned when a request GetModelByName or GetModelById. object No

Examples of response:

{
   "Status":"Success",
   "ErrorCode":0,
   "Model":"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",
   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",
   "Sizes" {
     "Units":"mm",
     "Total":2611.18,
     "Cut":1412.68,
     "Crease":1198.5,
     "Perf":0,
     "Zipper":0,
     "PageW":311.75,
     "PageH":249
   }
}

{
   "Status":"Success",
   "ErrorCode":0,
   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wCAjAnsAACQMYEdAAAyJrADAEDGBHYAAMiYwA4AABkT2AEAIGMCOwAAZExgBwCAjAnsAACQMYEdAAAyJrADAEDGBHYAAMiYwA4AABkT2AEAIGMCOwAAZExgBwCAjAnsAACQMYEdAAAyJrADAEDGBHYAAMiYwA4AABkT2AEAIGMCOwAAZExgBwCAjAnsAACQMYEdAAAyJrADAEDGBHYAAMiYwA4AABkT2AEAIGMCOwCsqKI72Cy6g/X08/ai2wPcjsAOMEfRHWym791FtwVuYRQR3YjioxExXnRjgNsR2AHm20jfBXaWTlX2hxGxHhEfi4hywc0BbklgB5hvHEXxbYtuBLyuquzrYYcl9caiGzBVUejJgsx9w+bmh77+jd+46GY8hDKqeDsi/sOiG/JgXINXyg9s7P6F0fs+9Fe9r6vlvT/yI3/+T9773kU3gweSZ2CPeLboBgDzve+P/ugjjyGwV2V/WHQH3xcRP73otjwg1+AV0v8fv/zB337/h78pvK8r5b1f+9qHBfbHI4vAftrrdaOuD+12vvjFr0ZVPVl0m4D5vvFTn/rPn/j1X38ZRbHopty7v/Oxnfilzx5+PoqfWlgbxm+8L55/5FOx//nTez3OB3/4h7/iGrxaPp2+WC2dT3zi83/jV37lUVyDH4MPvPXW1+atL6qqeqi2nDvt9TaiDugbEbEZ9Z3rJxEx/OTP/dzhN331q84+yF1RvIyI51FVbmR7APVoNcVPVOVP/uD9HqiooqpcgyF3rsEr5bTXq54eHc289j5ID/tpr7celwN6J1JAj4jnT4+OhucbF8XhQ7QJYMlsRMQXFt0IAB7evQT2016vE5cD+nrU4byMiK2nR0c+DQLcWPXfi+6gW5V911CAR+TOAnu7Dj3qoD6KOqDvRUT59OjIcFIAt1B0B53002cjqm4YTxvgUbl1YJ+oQ2+Giioj4kXUAX30+s0DIOq/Up5EVJ0wWyXAo3PtwD5Rh96N+j+QMn1drkMH4M6k2SojlcM8X3R7AHhYMwP7RB16872pQ9/JpQ59betgI+qbWIdnx7vjtKwTEZ2z4129/AAALLV5PezPor5htClzOcmtDn1t6+Bl1LXy44jYX9s6eH52vHsSFx8y9u7hmJ2IeJmOuR4RW2fHu8O0bjsi1s+Od/cm9pm1vBMRx+lhJyJ2mue6QVva+784O959MbH+82fHux963WMBALAY77li/cnTo6Odp0dHLzIM692IGJ0d7+6kILwVEdsREWfHu+VkOJ62/9rWwXrr8Xpa1rni0NtRB+MnUX8geJb2fxkRrwxJOWt5shn1XwaeRMROROxfcex5+z+Zsv9+XNS7bkdE2TrWzBnv1rYONtJfLi79fN31AADcnSxmOr2lcUR017YONs+Od09S+cuTiPMw34yk0NwQuxl1qB9F3dM8jIiNta2Dk/Rcz9L2h2tbB0/OjndHa1sH1dnx7uQg9s32EXVP9Tgi4ux498na1sErgXvW8mSYXkNTfnSpx3tt62AzIjbOjnf3UvDfm+gVL2PGDWhrWwfP0mttyoI6afs4O94dpuee3Kcb9YeLk9SuZv/u2tZB8wFo5vqz490syqQAAFbJVT3s2UrBdSfqsPj5ta2D48me3lZP+yjq3uVh1D3NJ2fHu3upt3k/6hKak7Ttk7gI4a/MOHV2vDs6O94dpxD+LOrwelujqMtqjpt2TRzrJCLW17YODlvtn9aWjajLdPYi6r8WRB302zenDaMuG+qm55ul+T08j/ovGHtRl0R1r7keAIA7tLSBPYXSYSqJ+Y6oQ+PLKdt1I2Lz7Hh3Jy3qRMT22tbBy9RrPYw6fK6vbR18Jq5ZlpKC6sdjdrnLdTyLi/Kaj09rf2rbZtSv7xXpg8N+1LX0zTb7EdF8qFhf2zrYT+F/L+pg3f4rwSzt9dNu3r1qPQAAd2BpA3vUIfa8DjuVY1wKoann+VnUpTCNcaSQnILySXqu52fHux+POnzOq+8+nFZO8hqa3vzxZPuT/ahD+yttSjezdtJraYfm51G/ruZ3UjZ/fWjV9itfAQBYAstcw/4iIo7Xtg6OI9VRRx1U255FKjlZ2zqIqENss996pFKYqEPt8drWQVPzvhMRMaOG/UXUde4baf8bjYmcevyfpQ8LLyLi5aznSj3k5dnx7vNU8tOdqBPfiLoO/7xnPoX3Yes5xmfHu2V6vcepZv/8NQIAkLeiqqqpK057vf2IiKdHR3c+NOL8FhVVVNUrteOzpCDalMdceySb1igzo5s+T7pJdOOmx7xuW+7LXbebR64oXkbE86gqf615IGnipPv9fd/wGgwsiGvwSjnt9aqnR0czr73L3MMeEfWNl3GLGurJEU1u8jwp7N7ZP5CHGl3lrtsNAMD9W+YadgAAWHkCOwAAZExgBwCAjAnsAACQMYEdAAAytrSjxKShEA/jYmSX4dnx7l4au3xjyrJumhipGd7wSxHxpBmhZW3r4PNRT540a0bRqevTLKJ76Tn3ox7TfZhmFp18jv1m4qJ520+uS1/NxEnDdhumPU8aonLq9hO/v25rIqW55r3Oa77244jYOzveHaWfy7Pj3RetyZ9eGc8+jU/fnnl266rjtF5bc26Mm2Nd9dqmHfPsePfJdV4fAMB9WfYe9pNmxtIUJrsR55MHPYmIaM9KmoJsRD2zaXtyoc2oJ1DqTjvItPVrWwfrEx8OtqMOhnsxMSvplG3nbj9l3XbUs7PupLbP2zau2P5Grvk6572WxjAufn+d1s8bMXuoyU563ub9vM5xGs25sRUR3dZ7P++1TTvmdV8fAMC9WPbAvrG2dbCfvrajDoHn4e/seHev1Rt6EhfhdTIkdqOedTSmBbtp68+Od0cTvdPrree8NJ77lG3nbj+5Lu07Sq9xOG/bdLx529/INV/nvNfSKCNiPfVgt9u03p6ZdUIzk+thei3XOc6sY7/ywWXG+zJ5zHiN4wIAvLalLYlJRnERpMZRB6tzqZShkx4OI2I7LZvUTft3og52k+UZV62PqMs6mtlDR2tbB+tXzFw6b/tX1qXjv/Iar3ieadvPlAJqO9juTQnT09p25Ws/O94dpt7siPTXivSXi/GsY6ftXpwd747Xtg5eRhR/eHb8Ezf5HTfGEdG55uu7dMy1rYOT67w+AID7suw97OOz490yfQ2jDvDtspbticdNLfh573qr3KWMOohf6om9an3LqCnJiYiNawS6edtfWhcR22fHu+MZtdOvPE+qyZ61/dw2xUXN/DBSmL5Gu6/72sdp/TDq32f7LwDTjt1tBeVhRPz+DX/HjeY9vM7rmzxm5wavDwDgzi17D/tmKrGIiPMbBA9bPbkbaVm7Z/czZ8e7H2rttxnpZsiIiLWtg8ke1KvWN15ExGEKdsO07UZqw7QbHi9tP7Ht5HMN042azU2U58897bjztp9oS/v3t5duwJ1VTz7zdV7xWtqGqc1Nj/tG1D3pMe3Ya1sH49briIhqMHnsOcdqv7aT5oPFNV7fpWOmD0DTXjMAwIMoqqqauuK019uPiHh6dHStUUTurkVFFVVVvM5TtMo0HjRcpXKbeTXZ195+ct281zTteSa3T9t072KEkxnHO192n8ea8fhOjjXrmLOWPXpF8TIinkdVXfUhiDtSdAfdquzf7+/7Dq7BwANwDV4pp71e9fToaOa1dyUDO69a2zpo12E7Fq/PfxYPTmAHzrkGr5SrAvuy17BzTQ8Zalf1WAAAi7C0Nexr15gMqbXt+VCM13jOcnL/aetawz9uT+4z63nmPf99mzf5z20nKAIA4P4tbWBvtG4AnZwMqbkpsz3++vMp65phHjtR3zw5eVPnyYxe3PZoMc2QgWVqy4uob17ciLru+VLgbeqh42KUkm6z77TjNpM/Nc8z+fiamvadrG0dfCa99vP2p3XN7+fZrG1bH1S6cTGZ1PjseLect+4G7QQAoGXZS2KmTobUGm97HPUU9edS2N1urdtubbMd9aQ5M/efoRv1qCLHred5u2nb2tZB+zk6E9s9a/ad0rYmPK+ndj2bfHyNtjXmTf5zkwmKmjaPI+IzzbL0QWPeOgAAbmHZA/sw6qB5aTKkNMTf+RCCcTHudsRFEN+IiE5E8eGIeN4e/WPK/rOO3exzknqR2z3xf68102p7oqVnUZeZTNv3UttS0G0en/fcTzw+t7Z1sJ0m+2m+2u2fNuFR4yQids6Od3fqNhTfOmfbps0nUc/C2oxv3rnGOgAAbmjZA3vE9MmQ9iMi0rTzkz3E46gD+l5E7EVUX5h8wiv2v6biq60PEu3gvBcR6zN6nS+1LYX6YUTsxEWv++TjtnkTA82b/OeuJigCAOCOLX0Ne0yfDCmi7nmv68GL93wuqj/7dNShvpkEp+n5nTXKyPn+U3qYG9sxK9AX8QtRnR+naWdjL+qbOmdNvtS0LfV4nxtNeXzuiomP5k1udOUERQAALMbKjsOeAmk7lG+0Rni5chKcyf2n3Xi6tnXQnXdD5W0m25kzCdL5KDfXHfXmJu25aoIieIUxgB+ccdiBc67BK8XEScD98J/FgxPYgXOuwSvFxEkAALDEBHYAAMiYwA4AABkT2AEAIGMCOwAAZGypx2FPI9mcz2Y6bUSb015vPSLi6dHRzCEQT3u9/cl9T3u9Z+k5y8nt0nM+ax330oyjAABwV5Y2sJ/2et2IiKdHR0/S4/3TXm8z0gyfT4+Oxqe93kZENDN2Pk/bbTw9Ohqmn9ejnvxoY+K5m/1GM7bbjogXT4+Ohqe93suoJyWK1raR9j9J38dPj47Keevu4FcCAMAKWuaSmG60ZvV8enS09/To6CQuB+v9KftttPYZzRhnfjvqgD+etl36eXTa623HqzOBbkfd+z6OiM80y9KHgHnrAADgFcsc2C857fU6rR7stmG0QvVV5SupzKbZpnPFYccRMe2YJ+nDw6j53nqueesAAOCSZQ7so7god4moe6+7E9vcJgiPImIzfXWnfQhItezjFLgBAODeLG1gTz3lnVS7vh8R3bRsGHWZyX5c9H5vN/ul5XOfN5W8nETdGz7tZtXhaa93nJ5rfBevBwAApimqqpq6ogm2M2q877FFRRVVVVx389QD3mluJG0tOx8Z5rTX6971jZ3TjguPSlG8jIjnUVVumn4gRXfQrcr+/f6+b3gNBhbENXilnPZ61dOjo5nX3qUdJaYxrQd8ctl9jMIyb5hIAAC4K0tbEgMAAI/Bcgf2otiPoniZvubWpt/b8WctK4pOFMVh+tqeuQwAAOZY3sBeFPWIMFX1JKrqSVq2GUWxnr420rKNKIrtKIrO1McX+222Hk/bZqP183oK5vOW7UddW7YT9Ygzs5a1918/P27dpu6V6wAAWGnLG9gnJk6KqtqLqmomTjqMiEghfDvqkVyaXu3N88f1Ns+iHk1mI4ri2Sv7XLgI51U1iqq6fDPutGUXOlEUk8NDTi6bOqlS+qAwbx0AACtsmQP7ZXXPcxOAn0dVDeMinG9EPSZ7M4lSO+g260dRT5h0eZ8mFFfV3AmXpngREftRFMdxMfTjtGVtJ+lDx+j8e2vCpTnrAABYUcs8SkwzcVLTy970ireNow7v4xS8NyNiGFW116o/H0Y95no36h71y/vUwf82xhGxk57nZVTVKH2guLwMAADmWN7AXlUv0s2bTfDeiKp6MnEj6IuoS2Ga3ui657wO7xspQLdryUdRh/f2PjsRUd9MOrvkZZr1qMtWRnHxoWLaMgAAmGl5A3tERFXtpNDdOQ/T7VBdVcMoip2IWD/vKa/D+kWAr3vb19P2o7TN5X0mn/di2ZOZy6qqTMH84nmnLZv2/BfP0Swr56wDAGCFLXdgj3g1+L66fhx12UvzuPl53Fo2GZ4v73OXbVMGAwDADazOTacAALCCBHYAAMjY0pbE7LzzbjNJ0Uak4RoP337zlbrunXfeXY+IOHz7zdGU/cvDt9985ebPnXfe7UQ9yVFExOjw7Teft/bppGO9aJZNHnfaMgAAuI2lDexNIN55592Xh2+/eX7z58477zYh/uTw7TfHcTEKzPP2uvZz7bzz7sbh22+2a9afRR3mT3beefcwhf5u1OH9RWvZdrTGdJ+2bGJdpOdphpEcH779Zjlv3c1/MwAArJKVKonZeefd9iylxxPrXp3l9MJkwH4REWXqaV+Pi4mUml72k8O33xxN9qJPW9YydbbS9CFi3joAAB6xlQrsEbF5+PabO4dvv3kSEcPUc92Uy7yIV2c5jYiIpryl9XiUtjuOiL3UU18PHxnxPOowfZtZRk9S20bN92jNZDpnHQAAj9SqBfZxK0hfCrupZ7wppZk7tGLqqd88fPvNJ61SmSb4j9P+6zOfAAAA7siqBfaTiNhvhfMmmG+n7xvNzapFUXyg2anZvmUzItZ33nn35c47775My15ExLPmxtOJmncAALgXRVVVU1ec9nr7ERFPj44edrSToqiiqorb7t7UnbcD9c4773bTzZ2XZjlNveWv9dzwaBXFy4h4HlXl5ugHUnQH3ars3+/v+zWvwcADcQ1eKae9XvX06GjmtXdpR4mZJYXw4cSyMn1/dZbT13xuAAC4T6tWEgMAACtFYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZe2PRDQDgQtEdbEdENyI6ETGOiBdV2S8X2yoAFklgB8hE0R1sRMR6Vfa3WsuOi+5gVJX90QKbBsACKYkByFTRHTS97ONFtwWAxdHDDpCJquwPi+5gvegODiNiPSKGEXFSlX2BHeAR08MOkJdO+oqoQzsAj5wedoBMqGEHYBo97ACZUsMOQIQedoBsqGEHYBqBHSAjVdk/iYiT5nEalx2AR0xJDEDehotuAACLpYcdICPTZjpdbIsAWDSBHSATRokBYBolMQCZMkoMABF62AGyYZQYAKbRww6QiaI7WI+6N30vIkZRh/bO3J0AWHkCO0A+1qO+4XQzIspUy76RgjwAj5TADpCXTtTBHQAiQg07QE6aMdc3ImKcRo0xQgzAIyewA2Qi3Vxapq+GiZMAHjmBHSATqVZ9e3J5Vfb3FtAcADIhsANkoir7o6I7iKhvOC2v2h6Ax0FgB8jL80U3AIC8COwAGTFJEgCTDOsIAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxgR2AADImMAOAAAZE9gBACBjAjsAAGRMYAcAgIwJ7AAAkDGBHQAAMiawAwBAxt647Y5Fd7Belf1R6/FGRHSqsl+2lnUiYiM9HFVlf5S2i6rsD297bPLSPhcm399Z7/d1t4P7dtPrlHOX3LgGs+zmncMT251nzWnX7gdr8ALcOLCnX9Cz9HAvLduOiE5EjIvuYL8q+3tp/UZEbEbEOCLK9IveSPtsVGX/xWu2nwWaPBeK7mAzWu9v1O/7K+/3dbeDB3Lt65Rzl5y4BrMK0nn8MiK+o+gO9qM+H6ddfy9lzYgoo3XtjgiBfYoyIrqtx6OmZ73oDl62ljcXglFEDCNivyr7O2m744hwUVh+7XOhO/H+jme839fdDh7CTa5Tzl1y4xrMstuPiJP080ZV9p9EnOfJ9rk4mTXHcfnavdJuHNirst/0QnVby5peqe1Ive7JMOpPQxH1G7LeWtcJltqUc2Hy/e1MPI4bbgcP4SbXKecu2XANZtkV3cGzqMN6cw6/aD5ETm47JWu2z939iNi5/xYvzp3cdJr+vLYdEXsTNUfjquyfVGX/JOpf6jD96SNiypvB0pt8f2e939fdDh7CTa5Tzl1y5hrMsmnKujZTmcuwKvtbUQfySyUuU7Lm5LV7pd36ptMJm1H/so6L7mAY9aelph5uM21zEvWFYD9dGPzJbfWU8er7e/64VRs8d7uHbjSP3sZV1ynnLkvCNZil0tzz2Nz/WHQHm6nXPeLV6283LmfN0cS1e6UVVVVNXXHa6+1bn8svAAAKQklEQVRHRDw9OtqbusF1D9AdrEdEtO7+7UR9h+/0mwOKooqqKl7nmCzO5Ps76/2+7nZkrCheRsTzqKryym0zd5Pr1CLP3aI76LZH4rqfg7gGLzPX4Edkha7Bbel6PE4lX9fZNlbhvD3t9aqnR0czr71XBva3zv76i6g/1TQ1by/u6heTPkU1f8Yoq7JfNv9ZpJq8pqZpmP7kASxAuihup4fDiCirf/dTxxHxvPihnxnHRc/HuCr7zxfUzJV314HdNRiWw+S/x3ANXmrtkZoiXXtfK7D/2Be+58fH/++N/xZR/GJE9Wv30OamGd8cUf3DiOJjf+nrX/7e//UNH/ztiOqzEcW/iqj+8P6OC9xc8fcjqk9965/+8Xf98Xve+OIf/rlv+K0oip+P6s+Wvocjf8VHI6rfuIfndQ2GpVFfg7/lT//4u7/2njf+j2vwMru49v7Nb/jq9/7mL/zT1+phb+7ebXph7rKHfTsueu6bT4xfKn7oZz6Ujnnp08ddHBO4uYke9lHU/1YPo+7dibjo+dG7c4/uoYfdNRiWwEQPu2vwkpv2F5N/s/ZbX3qtkpjXrWG/MfWTsBxWtH4yZ2rYgXOuwSvlqpKYOxnWEQAAuB8COwAAZExgBwCAjAnsAACQMYEdAAAyJrADAEDGBHYAAMiYwA4AABkT2AEAIGMCOwAAZExgBwCAjAnsAACQMYEdAAAyJrADAEDGBHYAAMiYwA4AABkT2AEAIGMCOwAAZExgBwCAjAnsAACQMYEdAAAyJrADAEDGBHYAAMiYwA4AABkT2AEAIGMCOwAAZExgBwCAjAnsAACQMYEdAAAyJrADAEDGBHYAAMiYwA4AABkT2AEAIGMCOwAAZExgBwCAjAnsAACQMYEdAAAyJrADAEDGBHYAAMiYwA4AABkT2AEAIGMCOwAAZOyNK9ZvnvZ6nYgYRsTJ06Oj8QO0CQAASOYF9udRB/WNiNiOiMPTXm8YEWVElE+PjsoHaB8AADxqMwN76k0/SV9x2uutR0Q36gB/mB6XcRHgh/ffXAAAeFyuKok59/ToaBQRL5rHp73eRlwE+GenvV7E5QA/utumAjxORXew0fr5WVX2ny+yPQA8rGsH9kmpR/28V/201+tGHeCb8plRXA7w6t8BbmcUEc8iiv8UUXUW3RgAHtatA/ukVNNeRkSkG1Wb3vf9iFhX/w5wO1XZHxfdQURUH4t0nQXg8bizwN42Uf++N1H/fpwC/UnUPfTq3wGupfiuqvzJn150KwB4WPcS2CdN1L/vTNS/75/2ek3AH37ym785vukhGgWwXIYR8bcW3QgAHt6DBPZJ8+rf/8sP/MBX//YiGgXcyG988pMfWP/c515+oCgW3ZR794Mf24lf+uzhQtvwpTfeF88/8qmIol/d53F+7Yd/+Cvff58HAO7E577/+9f/8u/8zqO4Bj8GH3jrra/NW7+QwD5pov69iqJ4ueAmAVf4v2+9tf6rb7315DHck/Lvu4PfLH7oZ/5BVfYXNvpVJ+obgu7bl12DV86//pa/9sHffv+Hv2nvd3/pbNFt4e6MP/3p9/zP7/zOR3ENfgy+0uvN7YzJIrBPYcgyyNzX3v/+R/HvtB5SsfhcRNWN1tC2K+5RvLePxeCvfPJHRu/70Pft/e4veV9XyJ+8733/bNFt4OHkGdiryqdFyNzXe70vLboND6QbRfzbqOL7Ft2QB+MavFL+Y3fQjSh+1/u6Wv6k13u26DbwcN6z6AYAZK4TVfX7i24EvK6iOzCGPywpgR1gvuYGeb2TLJ00S+4oIj4b9eAOwBIS2AHmqMr+SfousLOM1iOijKh+I+p7l4ElJLADwIqqyv5JM7pRVfYfy03TsHIEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdgAAyJjADgAAGXtj0Q0AyEHRHWxHRDciOhExjogXVdkvF9squD7nMKwugR149IruYCMi1quyv9Vadlx0B6Oq7I8W2DS4FucwrDYlMQATiu6g6aEcL7otcBvOYVgtetiBR68q+8OiO1gvuoPDiFiPiGFEnFRlX9hhKTiHYbXpYQcevaI7WI+6J3IvIkZRB57OQhsFN9eJi/N2fZENAe6WwA5Qh5tuRGxGRJnqgDdSkIfstWvYq7L/JJ3D285hWA0CO0CtE3olWRFq2GG1qGEHqOt9IyI2ImKceiuNrsHSUMMOq01gBx69FGrK9BUR5yUGsDSqsn8SESfN4zQuO7AClMQATDe8ehPImnMYVoQedoA4743cTA9HEfFigc2BG3MOw+rSww48eqn8pVOV/SdRB529qEfYMLQjS8E5DKtNYAe4rNO6UU/YYRk5h2HFCOzAo1eV/WFEdIru4GVEnKSxq0ujxLAsnMOw2tSwA0REVfb3mp+L7mC//RiWwZRzVliHFSGwA49e6o18GRdD4m0W3cG0AARLwYdOWC0CO/DoVWV/VHQHH4+I/ahD+4awwzLxoRNWmxp2gKgnT6rK/k7Us50av5qlkmrVPx71TaZl1DP1CuuwIvSwA7RUZf/5otsAt5FGhtkpuoNn4UMnrBSBHQBWiA+dsHqUxAAAQMYEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdgAAyJjADgAAGRPYAQAgYwI7AABkTGAHAICMCewAAJAxgR0AADImsAMAQMYEdoA5iu5gvf0dlkn7vHUOw/IS2AHm2574Dstko+gOulEU3xYRm4tuDHA7AjsArK4yIrpRxcfSz8ASEtgB5htGFJ9YdCPgNqqyP04//sWq7A8X2hjg1gR2gPnKiPi7oXcSgAUpqqpadBsuOe31qoh4vuh2AFf60SLiV6uI31t0Q+7bj33he378X3z4v/7zRbfjgTwL1+CV8rN/8O0f/a2vv/87Dr7ld/7lotvCneoVEb/8GK7Bj8Szp0dHxayVOQb2/UW3AbhaURQfiIioquori24Ld6eI+IgAAPkrIj4SRfFl1+DV8fToaG/WuuwCOwAAcEENOwAAZExgBwCAjAnsAACQMYEdAAAyJrADAEDG/j9PDbJ+k133wgAAAABJRU5ErkJggg==",
   "Sizes" {
     "Units":"mm",
     "Total":2611.18,
     "Cut":1412.68,
     "Crease":1198.5,
     "Perf":0,
     "Zipper":0,
     "PageW":311.75,
     "PageH":249
   }
}

{
  "Status":"Success",
  "ErrorCode":0,
  "ModelVariables": {
    "Id":"492",
    "Catalogue":"ecma",
    "GroupName":"F",
    "GroupDescription":"Variations of groups",
    "FullName":"F10.41.00.00",
    "Description":"Group: Variations of groups. Type: Self-assembly box with window. Top and Bottom: Automatic closing (two-point gluing). Extra elements: Window.",
    "Name":"F10_41_00_00",
    "Keywords": [
      "Automatic closing",
      "Three-point gluing",
      "Window"
    ],
    "DefaultsValues": {
      "L":"100",
      "L1":"80",
      "W":"50",
      "D":"150",
      "D1":"130",
      "Th":"500"
    },
    "ParamsAndOptions": {
      "params": [
        "L",
        "L1",
        "W",
        "D",
        "D1",
        "Th",
        "Units"
      ],
      "options": {
        "GlueZone":"bool",
        "KnifeInfo":"bool",
        "Sizes":"bool"
        "DimensionType": [
          "In",
          "Crease",
          "Out"
        ]
      }
    },
    "ValidationRules": {
      "L": {
        "min":23,
        "max":300
      },
      "L1": {
        "min":10,
        "max":300,
        "max1": {
          "L":1
        }
      },
      "W": {
        "min":9,
        "max":250,
        "max1": {
          "L":1
        }
      },
      "D": {
        "min":35,
        "min1": {
          "L":"1/4"
        },
        "max": 500
      },
      "D1": {
        "min":10,
        "max":500,
        "max1": {
          "calc":"D - 10"
        }
      },
      "Th": {
        "min":0.2,
        "max":1
      }
    }
  }
}

{
  "Status":"Success",
  "ErrorCode":0,
  "Details":"Colors saved"
}

{
   "Status":"Failed",
   "ErrorCode":2,
   "Details":"Request format error"
}

{
  "Status":"Failed",
  "ErrorCode":7,
  "Details":"Service request error: Model not found"
}

Error code descriptions:

ErrorCodeDetailsDescription
0 — The model is calculated. No errors
1 Bad request Bad request error. The server was unable to process the request
2 Request format error Error in the request format. One or more required parameters are missing or incorrect
3 You don't have enough rights The specified user was not found or not authorized to use API
4 Insufficient funds Paid period expired / download limit reached / insufficient funds. Details on the Balance page
5 Token error Error generating request signature. Follow the instructions for creating a token or use a ready-made solution
6 Model values error Parameter or option error. The following is a detailed description of this error
7 Service request error The following is a detailed description of this error

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