> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pinkfish.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# nanonets

> Nanonets OCR & Classification

**Server path:** `/nanonets` | **Type:** Application | **PCID required:** Yes

## Tools

| Tool                                                                                            | Description                     |
| ----------------------------------------------------------------------------------------------- | ------------------------------- |
| [`nanonets_get_image_classification_model`](#nanonets_get_image_classification_model)           | Get Model Details by ID         |
| [`nanonets_get_ocr_model`](#nanonets_get_ocr_model)                                             | Get Model Details by ID         |
| [`nanonets_get_ocr_prediction`](#nanonets_get_ocr_prediction)                                   | Get Prediction File by ID       |
| [`nanonets_list_image_classification_models`](#nanonets_list_image_classification_models)       | Get All Model Details           |
| [`nanonets_list_ocr_predictions`](#nanonets_list_ocr_predictions)                               | Get All Prediction Files        |
| [`nanonets_predict_classification_from_file`](#nanonets_predict_classification_from_file)       | Prediction for Image File       |
| [`nanonets_predict_classification_from_url`](#nanonets_predict_classification_from_url)         | Prediction for Image URLs       |
| [`nanonets_predict_ocr_from_file`](#nanonets_predict_ocr_from_file)                             | Prediction for Image File       |
| [`nanonets_predict_ocr_from_file_async`](#nanonets_predict_ocr_from_file_async)                 | Async Prediction for Image File |
| [`nanonets_predict_ocr_from_url`](#nanonets_predict_ocr_from_url)                               | Prediction for Image URLs       |
| [`nanonets_predict_ocr_from_url_async`](#nanonets_predict_ocr_from_url_async)                   | Async Prediction for Image URLs |
| [`nanonets_train_classification_model`](#nanonets_train_classification_model)                   | Train Model                     |
| [`nanonets_train_ocr_model`](#nanonets_train_ocr_model)                                         | Train Model                     |
| [`nanonets_upload_classification_training_file`](#nanonets_upload_classification_training_file) | Upload Training Images by File  |
| [`nanonets_upload_classification_training_urls`](#nanonets_upload_classification_training_urls) | Upload Training Images by URLs  |
| [`nanonets_upload_ocr_training_file`](#nanonets_upload_ocr_training_file)                       | Upload Training Images by File  |
| [`nanonets_upload_ocr_training_urls`](#nanonets_upload_ocr_training_urls)                       | Upload Training Images by URLs  |

***

## nanonets\_get\_image\_classification\_model

Get Model Details by ID

**Parameters:**

| Parameter | Type   | Required | Default | Description                                                                                                                                                 |
| --------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `id`      | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      }
    },
    "required": [
      "PCID",
      "id"
    ]
  }
  ```
</Expandable>

***

## nanonets\_get\_ocr\_model

Get Model Details by ID

**Parameters:**

| Parameter  | Type   | Required | Default | Description                                                                                                                                                 |
| ---------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model_id` | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      }
    },
    "required": [
      "PCID",
      "model_id"
    ]
  }
  ```
</Expandable>

***

## nanonets\_get\_ocr\_prediction

Get Prediction File by ID

**Parameters:**

| Parameter  | Type   | Required | Default | Description                                                                                                                                                                                                                                                        |
| ---------- | ------ | -------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| `model_id` | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`                                                                                                        |
| `id`       | string | Yes      | —       | The ID of the file for which the prediction has to be retrieved. It can be found in the response on uploading prediction files synchronously or asynchronously or while retrieving all prediction file data. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "id": {
        "type": "string",
        "description": "The ID of the file for which the prediction has to be retrieved. It can be found in the response on uploading prediction files [synchronously](#operation/ocr/predict/file) or [asynchronously](#operation/ocr/predict/file/async) or while [retrieving all prediction file data](#operation/ocr/predict/getFile). <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      }
    },
    "required": [
      "PCID",
      "model_id",
      "id"
    ]
  }
  ```
</Expandable>

***

## nanonets\_list\_image\_classification\_models

Get All Model Details

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      }
    },
    "required": [
      "PCID"
    ]
  }
  ```
</Expandable>

***

## nanonets\_list\_ocr\_predictions

Get All Prediction Files

**Parameters:**

| Parameter            | Type    | Required | Default | Description                                                                                                                                                                                                                                                                                                                                                 |
| -------------------- | ------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model_id`           | string  | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`                                                                                                                                                                                                 |
| `start_day_interval` | integer | Yes      | —       | The start of the interval for which prediction files are needed. \<br /> **Format**: Number of days since [Unix epoch time](https://www.epochconverter.com) \<br /> **Eg**: 1620130500 seconds / 86400 seconds per day \~ `18,751` days                                                                                                                     |
| `current_batch_day`  | integer | Yes      | —       | The end of the interval for which prediction files are needed. \<br /> **Format**: Number of days since [Unix epoch time](https://www.epochconverter.com) \<br /> **Eg**: 1630930872 seconds / 86400 seconds per day \~ `18,876` days \<br /> **NOTE**: The value of this parameter has to be greater than the value of the `start_day_interval` parameter. |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "start_day_interval": {
        "type": "integer",
        "description": "The start of the interval for which prediction files are needed. <br /> **Format**: Number of days since [Unix epoch time](https://www.epochconverter.com) <br /> **Eg**: 1620130500 seconds / 86400 seconds per day ~ `18,751` days"
      },
      "current_batch_day": {
        "type": "integer",
        "description": "The end of the interval for which prediction files are needed. <br /> **Format**: Number of days since [Unix epoch time](https://www.epochconverter.com) <br /> **Eg**: 1630930872 seconds / 86400 seconds per day ~ `18,876` days <br /> **NOTE**: The value of this parameter has to be greater than the value of the [`start_day_interval` parameter](#operation/ocr/predict/getfile!in=query&path=start_day_interval&t=request)."
      }
    },
    "required": [
      "PCID",
      "model_id",
      "start_day_interval",
      "current_batch_day"
    ]
  }
  ```
</Expandable>

***

## nanonets\_predict\_classification\_from\_file

Prediction for Image File

**Parameters:**

| Parameter | Type   | Required | Default | Description                                                                                                                                                 |
| --------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `file`    | string | Yes      | —       | The file to be uploaded. \<br /> **Format**: PNG, JPEG or PDF                                                                                               |
| `modelId` | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "file": {
        "type": "string",
        "description": "The file to be uploaded. <br /> **Format**: PNG, JPEG or PDF"
      },
      "modelId": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      }
    },
    "required": [
      "PCID",
      "file",
      "modelId"
    ]
  }
  ```
</Expandable>

***

## nanonets\_predict\_classification\_from\_url

Prediction for Image URLs

**Parameters:**

| Parameter | Type   | Required | Default | Description                                                                                                                                                 |
| --------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `modelId` | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |
| `urls`    | string | Yes      | —       | Array of URLs of the training files. \<br /> **Format**: PNG, JPEG and/or PDF                                                                               |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "modelId": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "urls": {
        "type": "string",
        "description": "Array of URLs of the training files. <br /> **Format**: PNG, JPEG and/or PDF"
      }
    },
    "required": [
      "PCID",
      "modelId",
      "urls"
    ]
  }
  ```
</Expandable>

***

## nanonets\_predict\_ocr\_from\_file

Prediction for Image File

**Parameters:**

| Parameter  | Type   | Required | Default | Description                                                                                                                                                 |
| ---------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model_id` | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |
| `file`     | string | Yes      | —       | The file to be uploaded. \<br /> **Format**: PNG, JPEG or PDF                                                                                               |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "file": {
        "type": "string",
        "description": "The file to be uploaded. <br /> **Format**: PNG, JPEG or PDF"
      }
    },
    "required": [
      "PCID",
      "model_id",
      "file"
    ]
  }
  ```
</Expandable>

***

## nanonets\_predict\_ocr\_from\_file\_async

Async Prediction for Image File

**Parameters:**

| Parameter  | Type    | Required | Default | Description                                                                                                                                                 |
| ---------- | ------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model_id` | string  | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |
| `async`    | boolean | Yes      | —       | Indicates that the request has to be processed asynchronously. \<br /> **NOTE**: `true` is the only accepted value.                                         |
| `file`     | string  | Yes      | —       | The file to be uploaded. \<br /> **Format**: PNG, JPEG or PDF                                                                                               |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "async": {
        "type": "boolean",
        "description": "Indicates that the request has to be processed asynchronously. <br /> **NOTE**: `true` is the only accepted value."
      },
      "file": {
        "type": "string",
        "description": "The file to be uploaded. <br /> **Format**: PNG, JPEG or PDF"
      }
    },
    "required": [
      "PCID",
      "model_id",
      "async",
      "file"
    ]
  }
  ```
</Expandable>

***

## nanonets\_predict\_ocr\_from\_url

Prediction for Image URLs

**Parameters:**

| Parameter  | Type   | Required | Default | Description                                                                                                                                                 |
| ---------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model_id` | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |
| `body`     | object | Yes      | —       | The parameters to be sent in the request's body.                                                                                                            |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "body": {
        "description": "The parameters to be sent in the request's body."
      }
    },
    "required": [
      "PCID",
      "model_id",
      "body"
    ]
  }
  ```
</Expandable>

***

## nanonets\_predict\_ocr\_from\_url\_async

Async Prediction for Image URLs

**Parameters:**

| Parameter  | Type    | Required | Default | Description                                                                                                                                                 |
| ---------- | ------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model_id` | string  | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |
| `async`    | boolean | Yes      | —       | Indicates that the request has to be processed asynchronously. \<br /> **NOTE**: `true` is the only accepted value.                                         |
| `body`     | object  | Yes      | —       | The parameters to be sent in the request's body.                                                                                                            |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "async": {
        "type": "boolean",
        "description": "Indicates that the request has to be processed asynchronously. <br /> **NOTE**: `true` is the only accepted value."
      },
      "body": {
        "description": "The parameters to be sent in the request's body."
      }
    },
    "required": [
      "PCID",
      "model_id",
      "async",
      "body"
    ]
  }
  ```
</Expandable>

***

## nanonets\_train\_classification\_model

Train Model

**Parameters:**

| Parameter | Type   | Required | Default | Description                                                                                                                                                 |
| --------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `modelId` | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "modelId": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      }
    },
    "required": [
      "PCID",
      "modelId"
    ]
  }
  ```
</Expandable>

***

## nanonets\_train\_ocr\_model

Train Model

**Parameters:**

| Parameter  | Type   | Required | Default | Description                                                                                                                                                 |
| ---------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model_id` | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      }
    },
    "required": [
      "PCID",
      "model_id"
    ]
  }
  ```
</Expandable>

***

## nanonets\_upload\_classification\_training\_file

Upload Training Images by File

**Parameters:**

| Parameter | Type   | Required | Default | Description                                      |
| --------- | ------ | -------- | ------- | ------------------------------------------------ |
| `body`    | object | Yes      | —       | The parameters to be sent in the request's body. |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "body": {
        "description": "The parameters to be sent in the request's body."
      }
    },
    "required": [
      "PCID",
      "body"
    ]
  }
  ```
</Expandable>

***

## nanonets\_upload\_classification\_training\_urls

Upload Training Images by URLs

**Parameters:**

| Parameter  | Type   | Required | Default | Description                                                                                                                                                 |
| ---------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `category` | string | Yes      | —       | TBD                                                                                                                                                         |
| `modelId`  | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a` |
| `urls`     | string | Yes      | —       | Array of URLs of the training files. \<br /> **Format**: PNG, JPEG and/or PDF                                                                               |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "category": {
        "type": "string",
        "description": "TBD"
      },
      "modelId": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "urls": {
        "type": "string",
        "description": "Array of URLs of the training files. <br /> **Format**: PNG, JPEG and/or PDF"
      }
    },
    "required": [
      "PCID",
      "category",
      "modelId",
      "urls"
    ]
  }
  ```
</Expandable>

***

## nanonets\_upload\_ocr\_training\_file

Upload Training Images by File

**Parameters:**

| Parameter  | Type   | Required | Default | Description                                                                                                                                                                                 |
| ---------- | ------ | -------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model_id` | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`                                 |
| `data`     | string | Yes      | —       | The name of the file to be uploaded. \<br /> **Format**: `"data": "[&#123;"filename": "filename.ext"&#125;]"`. \<br /> **NOTE**: The `filename` must be the same as the uploaded file name. |
| `file`     | string | Yes      | —       | The file to be uploaded. \<br /> **Format**: PNG, JPEG or PDF                                                                                                                               |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "data": {
        "type": "string",
        "description": "The name of the file to be uploaded. <br /> **Format**: `\"data\": \"[{\"filename\": \"filename.ext\"}]\"`. <br /> **NOTE**: The `filename` must be the same as the uploaded file name."
      },
      "file": {
        "type": "string",
        "description": "The file to be uploaded. <br /> **Format**: PNG, JPEG or PDF"
      }
    },
    "required": [
      "PCID",
      "model_id",
      "data",
      "file"
    ]
  }
  ```
</Expandable>

***

## nanonets\_upload\_ocr\_training\_urls

Upload Training Images by URLs

**Parameters:**

| Parameter      | Type   | Required | Default | Description                                                                                                                                                           |
| -------------- | ------ | -------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `Content-Type` | string | Yes      | —       | Set the ['Content-Type' header](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Content-Type) value. \<br /> **Eg**: `"Content-Type": ""application/json""` |
| `model_id`     | string | Yes      | —       | The ID of the model on which the operation is to be performed. It can be found in the model settings. \<br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`           |
| `body`         | object | Yes      | —       | The parameters to be sent in the request's body.                                                                                                                      |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "Content-Type": {
        "type": "string",
        "description": "Set the ['Content-Type' header](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Content-Type) value. <br /> **Eg**: `\"Content-Type\": \"\"application/json\"\"`"
      },
      "model_id": {
        "type": "string",
        "description": "The ID of the model on which the operation is to be performed. It can be found in the model settings. <br /> **Eg**: `0a0aa000-0000-0a0-aa00-000a0000000a`"
      },
      "body": {
        "description": "The parameters to be sent in the request's body."
      }
    },
    "required": [
      "PCID",
      "Content-Type",
      "model_id",
      "body"
    ]
  }
  ```
</Expandable>
