# MD2UI - Markdown to Images & Code & Emails (`treplit/md2ui-mcp`) Actor

Turn Markdown into shareable images and email-ready HTML — directly from Claude.

Render tables, code blocks, and Mermaid diagrams as PNG, or Gmail-compatible HTML. 9 themes included. No design tools needed.

- **URL**: https://apify.com/treplit/md2ui-mcp.md
- **Developed by:** [Treplit](https://apify.com/treplit) (community)
- **Categories:** Agents, Developer tools, AI
- **Stats:** 10 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event + usage

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

`````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## MD2UI - Markdown to Visual Output MCP Server

**Give your AI agents the power to create beautiful visuals, not just text.**

Transform Markdown into shareable images, styled HTML, and email-ready output. Perfect for AI agents that need to generate charts, diagrams, code snippets, and visual reports.

[Try the Web Editor](https://md2ui.treplit.com) | [Browse Themes](https://md2ui.treplit.com/themes) | [View on Apify](https://apify.com/treplit/md2ui-mcp)

![MD2UI Editor - Transform Markdown to Visual Output](https://api.apify.com/v2/key-value-stores/tQZV7u0zsPESUnc5s/records/example-home-apify.png)

---

### The Problem

AI agents are incredible at generating text. But when it comes to creating **visual output**, they hit a wall:

- Claude can write a perfect Mermaid flowchart... but can't render it as an image
- Your LangGraph agent generates a beautiful report... as raw Markdown nobody wants to read
- You need to share analysis results on Slack/WhatsApp... but plain text looks unprofessional
- Sending base64 images back to the LLM eats thousands of tokens

**MD2UI solves this.** It's an MCP server that takes any Markdown and returns a beautiful, shareable image URL in milliseconds.

#### Mermaid Diagram Support

Full Mermaid 11.x support with server-side rendering:

````markdown
```mermaid
flowchart LR
    A[User Query] --> B{AI Agent}
    B --> C[Generate Markdown]
    C --> D[MD2UI]
    D --> E[Beautiful Image]
    E --> F[Share Anywhere]
`````

````

Supported diagrams: flowchart, sequence, pie, sankey, timeline, quadrant, class, state, ER, gantt, mindmap, and more.

![Chart Gallery - Line charts, pie charts, sankey diagrams, and more](https://api.apify.com/v2/key-value-stores/tQZV7u0zsPESUnc5s/records/example-chart-gallery-full.png)

---

### Features

- **Multiple Output Formats** - HTML, PNG, JPEG, WebP, Email HTML
- **Email Rendering** - Generate email-client compatible HTML (Gmail, Outlook, Apple Mail)
- **9 Professional Themes** - Match your brand or use familiar styles
- **Mermaid Diagrams** - All diagram types rendered server-side
- **Syntax Highlighting** - Beautiful code blocks in any language
- **URL Response** - Get shareable links instead of base64 blobs
- **Smart Caching** - Mermaid diagrams and SVG conversions cached for performance
- **Fast Cold Start** - Standby mode keeps the server warm (~150-700ms)
- **MCP Native** - Works with any MCP-compatible client

---

### Themes

Choose from 9 built-in themes or create custom ones:

| Theme | Style | Best For |
|-------|-------|----------|
| `default` | Clean blue, professional | General purpose |
| `dark` | Dark mode | Developer content, night mode |
| `notion` | Notion-inspired | Documentation, notes |
| `anthropic` | Claude-style warm tones | AI assistant outputs |
| `google` | Material Design colors | Reports, presentations |
| `perplexity` | Modern turquoise | Search results, summaries |
| `whatsapp` | Chat-bubble green | Messaging, notifications |
| `minimal` | Content-focused, serif | Long-form reading |
| `corporate` | Business blue | Enterprise documents |

![Theme Gallery - 9 professional built-in themes](https://api.apify.com/v2/key-value-stores/tQZV7u0zsPESUnc5s/records/example-themes.png)

---

### Quick Start

#### MCP Endpoint

```
https://treplit--md2ui-mcp.apify.actor/mcp?token=YOUR_APIFY_TOKEN
```

Get your token at [console.apify.com/settings/integrations](https://console.apify.com/settings/integrations).

#### Claude Code

Add to `~/.claude/settings.json`:

```json
{
  "mcpServers": {
    "md2ui": {
      "url": "https://treplit--md2ui-mcp.apify.actor/mcp?token=YOUR_APIFY_TOKEN"
    }
  }
}
```

---

### MCP Tools

| Tool | Description |
|------|-------------|
| `render` | Transform Markdown to HTML, PNG, JPEG, WebP images |
| `render_email` | Generate email-compatible HTML for Gmail, Outlook, Apple Mail |
| `theme_list` | List all 9 available themes |
| `theme_get` | Get full configuration of a theme |
| `theme_create` | Create a custom theme |
| `generate_component` | AI-powered: describe what you want, get Markdown/Mermaid code |
| `health` | Check server status |

#### render Parameters

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `markdown` | string | Yes | Markdown content to render (max 100KB) |
| `output_format` | enum | Yes | `html`, `png`, `jpeg`, `webp` |
| `theme_id` | string | No | Theme ID (default: `default`) |
| `options.width` | number | No | Width in pixels (default: 800) |
| `options.scale` | number | No | DPI multiplier 1-3 (default: 2) |
| `options.quality` | number | No | 0-100 for JPEG/WebP (default: 90) |
| `options.transparentBackground` | boolean | No | Transparent PNG background |

#### Response Format

```json
{
  "success": true,
  "image": "data:image/png;base64,..."
}
```

#### render_email Parameters

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `markdown` | string | Yes | Markdown content to render for email |
| `theme_id` | string | No | Theme ID (default: `default`) |
| `image_hosting` | enum | No | `hosted` (URL) or `base64` (embedded) |

**Email Features:**
- React Email components for universal email client support
- Automatic font fallbacks (Inter → Helvetica, Fira Code → Courier)
- Mermaid diagrams rendered as hosted PNG images
- Cached diagram rendering for improved performance

#### Response Format (Email)

```json
{
  "success": true,
  "html": "<!DOCTYPE html>...",
  "uploadedImages": [
    { "id": "mermaid-0.png", "url": "https://..." }
  ]
}
```

---

### Integration Examples

#### n8n Workflow

Use MD2UI in n8n workflows with LangChain or LangGraph agents:

```javascript
// Initialize MCP Session
const response = await $http.request({
  method: 'POST',
  url: 'https://treplit--md2ui-mcp.apify.actor/mcp?token=' + $env.APIFY_TOKEN,
  headers: {
    'Content-Type': 'application/json',
    'Accept': 'application/json, text/event-stream'
  },
  body: {
    jsonrpc: '2.0',
    id: 1,
    method: 'initialize',
    params: {
      protocolVersion: '2024-11-05',
      capabilities: {},
      clientInfo: { name: 'n8n-workflow', version: '1.0' }
    }
  }
});

const sessionId = response.headers['mcp-session-id'];
```

```javascript
// Render Markdown to Image
const renderResponse = await $http.request({
  method: 'POST',
  url: 'https://treplit--md2ui-mcp.apify.actor/mcp?token=' + $env.APIFY_TOKEN,
  headers: {
    'Content-Type': 'application/json',
    'Accept': 'application/json, text/event-stream',
    'mcp-session-id': sessionId
  },
  body: {
    jsonrpc: '2.0',
    id: 2,
    method: 'tools/call',
    params: {
      name: 'render',
      arguments: {
        markdown: $input.first().json.content,
        output_format: 'png',
        theme_id: 'anthropic'
      }
    }
  }
});
```

#### LangGraph Agent

```python
from langchain_mcp_adapters.client import MultiServerMCPClient

async with MultiServerMCPClient({
    "md2ui": {
        "url": "https://treplit--md2ui-mcp.apify.actor/mcp?token=YOUR_TOKEN",
        "transport": "streamable_http"
    }
}) as client:
    tools = client.get_tools()
    # Use tools in your LangGraph agent
```

---


### Why MD2UI?

| Without MD2UI | With MD2UI |
|---------------|------------|
| AI generates Markdown nobody reads | AI creates shareable visuals |
| Mermaid code sits unrendered | Beautiful diagrams in seconds |
| Base64 images waste tokens | URL response saves 99% tokens |
| Plain text notifications | Professional formatted alerts |
| Manual diagram rendering | Automated visual pipeline |

---

### Performance

| Scenario | Latency |
|----------|---------|
| Cold start (Standby wake) | ~150-700ms |
| Warm HTML render | ~50-100ms |
| Warm image render | ~200-400ms |
| Warm email render | ~250-450ms |

The server uses a **persistent Puppeteer browser** instance in Standby mode. After the first render, subsequent requests reuse the warm browser—no cold start penalty per request.

**Batch rendering**: Use `render_batch` to render up to 10 documents in a single request, sharing the same browser session for optimal throughput.

---

### URL Persistence

Image URLs are stored in Apify's key-value store:

| Storage Type | Retention |
|--------------|-----------|
| Default (unnamed) | **7 days** |
| Named stores | Indefinitely |

**For most use cases, 7 days is plenty.** URLs work immediately for Slack, email, or any sharing. If you need permanent URLs, download the image and host it yourself.

> **Tip**: The response includes `expires_in` (seconds) so your agent knows the URL lifetime.

---

### Self-Hosting

MD2UI is optimized for Apify but can run elsewhere:

**Docker image available**: Built on `apify/actor-node-puppeteer-chrome` with Chromium pre-installed.

```bash
## Clone and build
docker build -t md2ui .
docker run -p 8080:8080 md2ui
```

**Limitations when self-hosting**:
- No `Actor.charge()` billing (pricing features disabled)
- No automatic key-value store URLs (returns base64 only)
- You handle scaling, uptime, and browser management

**Recommended**: Use Apify for production. The Standby mode, managed scaling, and pay-per-use pricing make it simpler than self-hosting Puppeteer.

---

### Links

- [Apify Store](https://apify.com/treplit/md2ui-mcp)
- [Web Editor](https://md2ui.treplit.com)
- [Theme Gallery](https://md2ui.treplit.com/themes)

---

Built by [Treplit](https://treplit.com) for AI agents that need to **show**, not just tell.

# Actor input Schema

## `defaultTheme` (type: `string`):

The default theme to use when rendering Markdown. This theme will be applied unless a different theme is specified in the render request.
## `defaultOutputFormat` (type: `string`):

The default output format when rendering. Can be overridden per-request.
## `imageScale` (type: `integer`):

Scale factor for image output (1-4). Higher values produce higher resolution images. Default is 2 for retina-quality output.
## `openaiApiKey` (type: `string`):

OpenAI API key to enable the generate_component tool, which uses AI to create Markdown and Mermaid diagrams from natural language descriptions. If not provided, this tool will be disabled but all other tools (render, theme_list, theme_get, theme_create) will work normally.

## Actor input object example

```json
{
  "defaultTheme": "default",
  "defaultOutputFormat": "html",
  "imageScale": 2
}
```

# Actor output Schema

## `mcpEndpoint` (type: `string`):

The MCP server endpoint is available at the Actor's container URL. Connect using an MCP client to access the rendering tools.
## `healthCheck` (type: `string`):

Health check endpoint to verify the server is running.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "defaultTheme": "default",
    "defaultOutputFormat": "html",
    "imageScale": 2
};

// Run the Actor and wait for it to finish
const run = await client.actor("treplit/md2ui-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "defaultTheme": "default",
    "defaultOutputFormat": "html",
    "imageScale": 2,
}

# Run the Actor and wait for it to finish
run = client.actor("treplit/md2ui-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "defaultTheme": "default",
  "defaultOutputFormat": "html",
  "imageScale": 2
}' |
apify call treplit/md2ui-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=treplit/md2ui-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "MD2UI - Markdown to Images & Code & Emails",
        "description": "Turn Markdown into shareable images and email-ready HTML — directly from Claude.\n\nRender tables, code blocks, and Mermaid diagrams as PNG, or Gmail-compatible HTML. 9 themes included. No design tools needed.",
        "version": "1.6",
        "x-build-id": "AiJBY92bQSUUIHoLy"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/treplit~md2ui-mcp/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-treplit-md2ui-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/treplit~md2ui-mcp/runs": {
            "post": {
                "operationId": "runs-sync-treplit-md2ui-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/treplit~md2ui-mcp/run-sync": {
            "post": {
                "operationId": "run-sync-treplit-md2ui-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "defaultTheme": {
                        "title": "Default Theme",
                        "enum": [
                            "default",
                            "dark",
                            "notion",
                            "whatsapp",
                            "google",
                            "perplexity",
                            "anthropic",
                            "minimal",
                            "corporate"
                        ],
                        "type": "string",
                        "description": "The default theme to use when rendering Markdown. This theme will be applied unless a different theme is specified in the render request.",
                        "default": "default"
                    },
                    "defaultOutputFormat": {
                        "title": "Default Output Format",
                        "enum": [
                            "html",
                            "png",
                            "jpeg",
                            "webp",
                            "pdf"
                        ],
                        "type": "string",
                        "description": "The default output format when rendering. Can be overridden per-request.",
                        "default": "html"
                    },
                    "imageScale": {
                        "title": "Image Scale Factor",
                        "minimum": 1,
                        "maximum": 4,
                        "type": "integer",
                        "description": "Scale factor for image output (1-4). Higher values produce higher resolution images. Default is 2 for retina-quality output.",
                        "default": 2
                    },
                    "openaiApiKey": {
                        "title": "OpenAI API Key (Optional)",
                        "type": "string",
                        "description": "OpenAI API key to enable the generate_component tool, which uses AI to create Markdown and Mermaid diagrams from natural language descriptions. If not provided, this tool will be disabled but all other tools (render, theme_list, theme_get, theme_create) will work normally."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
````