# Vach : Detect content theft (`rexreus/vach`) Actor

Detect content theft, AI rewrites, and LLM scraping exposure for your web pages. Input URLs or sitemaps, get semantic similarity scores, duplicate detection, and SEO risk reports per URL.

- **URL**: https://apify.com/rexreus/vach.md
- **Developed by:** [REXREUS D.O](https://apify.com/rexreus) (community)
- **Categories:** AI, Automation, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.10 / url scan result

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

## Vach — AI Content Theft & Shadow Index Monitor

Apify Actor that detects content duplication, AI rewrites, and LLM scraping exposure for your web pages. Given a list of URLs, sitemaps, or domains, Vach crawls each page, generates a semantic fingerprint, searches for copies across the web, and produces a structured risk report per URL.

**Scope:** Vach detects text duplication on publicly crawlable web pages. It does not detect usage inside AI model weights. The LLM Exposure Risk Score is a probabilistic estimate based on indirect signals, not definitive proof.

---

### How It Works

1. **Input resolution** — URLs, sitemap XML, or bare domains are normalized into a flat URL list.
2. **Crawl & extract** — Each page is rendered with Playwright and text is extracted via Mozilla Readability.
3. **Fingerprinting** — A SimHash (64-bit) and a mean-pooled semantic embedding vector are computed per page.
4. **Shadow index scan** — Representative phrases are searched via Bing/SerpAPI, and a curated list of known scraper domains is checked.
5. **Similarity analysis** — Each candidate is crawled and compared using a composite score: `(0.7 × cosine) + (0.3 × simhash_similarity)`.
6. **Risk scoring** — LLM exposure risk, SEO cannibalization risk, and traffic/ranking displacement risk are calculated.
7. **Output** — One JSON item per input URL is pushed to the Apify Dataset, plus a summary item.

---

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `urls` | `string[]` | *(required)* | Page URLs, sitemap XML URLs, or domains (e.g. `example.com`) |
| `similarity_threshold` | `number` | `0.80` | Minimum score (0.50–1.00) to flag a candidate as a confirmed duplicate |
| `max_urls` | `integer` | `50` | Maximum URLs to process per run (max: 500) |
| `embedding_provider` | `"local"` \| `"openai"` | `"local"` | `local` uses bundled ONNX MiniLM model; `openai` uses `text-embedding-3-small` |
| `openai_api_key` | `string` | — | Required when `embedding_provider` is `"openai"` |
| `concurrency` | `integer` | `5` | Parallel crawl workers (max: 20) |
| `search_api_provider` | `"none"` \| `"bing"` \| `"serpapi"` | `"none"` | Enable search engine scanning for broader duplicate discovery |
| `bing_api_key` | `string` | — | Required when `search_api_provider` is `"bing"` |
| `serpapi_key` | `string` | — | Required when `search_api_provider` is `"serpapi"` |
| `webhook_url` | `string` | — | HTTP POST endpoint notified each time a confirmed duplicate is found |
| `curated_domains` | `string[]` | — | Override the default curated scraper domain list |
| `llm_adjacent_domains` | `string[]` | — | Override the default LLM-adjacent domain list |

#### Example Input

```json
{
  "urls": [
    "https://myblog.com/sitemap.xml",
    "https://myblog.com/blog/my-best-article"
  ],
  "similarity_threshold": 0.80,
  "max_urls": 100,
  "embedding_provider": "local",
  "search_api_provider": "bing",
  "bing_api_key": "YOUR_BING_KEY",
  "concurrency": 5,
  "webhook_url": "https://hooks.myapp.com/content-alert"
}
````

***

### Output

One JSON item is pushed to the Apify Dataset per input URL. A final summary item (with `_type: "summary"`) is appended after all URLs are processed.

#### Example Output Item

```json
{
  "input_url": "https://myblog.com/blog/my-best-article",
  "scan_timestamp": "2024-06-01T14:32:00Z",
  "content_title": "My Best Article",
  "fingerprint_id": "a3f8c2d1e4b7...",
  "embedding_status": "success",
  "crawl_status": "success",
  "http_status_code": 200,
  "duplicate_candidates_found": 12,
  "confirmed_duplicates_count": 2,
  "duplicates": [
    {
      "url": "https://scraper-farm.com/copied-article",
      "similarity_score": 0.9412,
      "cosine_similarity": 0.9601,
      "simhash_distance": 4,
      "duplicate_type": "ai_rewrite",
      "is_confirmed_duplicate": true,
      "original_publisher": "source",
      "timestamp_confidence": "high",
      "source_published_date": "2024-03-15T10:00:00Z",
      "duplicate_published_date": "2024-04-20T09:00:00Z",
      "crawl_status": "success"
    }
  ],
  "llm_exposure_risk_score": 35,
  "llm_risk_level": "low",
  "llm_risk_factors": ["2 confirmed duplicates contribute base score"],
  "cannibalization_score": 47,
  "cannibalization_risk_level": "medium",
  "traffic_loss_risk": "medium",
  "ranking_displacement_risk": "medium",
  "threat_status": "threats_detected"
}
```

#### Example Summary Item

```json
{
  "_type": "summary",
  "total_urls_scanned": 10,
  "total_confirmed_duplicates": 5,
  "high_risk_urls_count": 1,
  "scan_duration_seconds": 142,
  "actor_version": "0.1.0"
}
```

#### Webhook Payload (per confirmed duplicate)

```json
{
  "event": "duplicate_found",
  "input_url": "https://myblog.com/blog/my-best-article",
  "duplicate_url": "https://scraper-farm.com/copied-article",
  "similarity_score": 0.9412,
  "duplicate_type": "ai_rewrite",
  "scan_timestamp": "2024-06-01T14:32:00Z"
}
```

***

### Similarity Score & Duplicate Types

#### How the Score Is Calculated

```
similarity_score = (0.7 × cosine_similarity) + (0.3 × simhash_similarity)
simhash_similarity = 1 - (hamming_distance / 64)
```

Both components range from 0.0 to 1.0. The final score is rounded to 4 decimal places.

#### Duplicate Type Classification

| Type | Condition | Meaning |
|---|---|---|
| `exact_copy` | cosine ≥ 0.97 | Near-verbatim copy |
| `ai_rewrite` | cosine 0.80–0.96 AND simhash\_distance ≥ 10 | Paraphrased or AI-rewritten copy |
| `summarization_reuse` | cosine 0.65–0.79 | Significant content reuse, possibly summarized |
| `partial_reuse` | cosine 0.50–0.64 | Partial overlap, may share key sections |
| `below_threshold` | cosine < 0.50 | Not considered a duplicate |

A candidate is flagged as `is_confirmed_duplicate: true` only when `similarity_score ≥ similarity_threshold`.

***

### Risk Scores Explained

#### LLM Exposure Risk Score (0–100)

Estimates the probability that your content has been ingested into an LLM training pipeline.

```
score = min(100, round(
  (llm_domain_hits × 20) +
  (avg_similarity_on_llm_domains × 30) +
  (confirmed_duplicate_count × 5)
))
```

- `low`: score < 40
- `medium`: score 40–69
- `high`: score ≥ 70

#### Cannibalization Score (0–100)

Estimates SEO impact from duplicate content competing for the same rankings.

```
score = min(100, round(confirmed_duplicate_count × 10 + avg_similarity_score × 50))
```

- `low`: 0–33 | `medium`: 34–66 | `high`: 67–100

#### Traffic Loss Risk

Based on the number of confirmed duplicates: 0 → `low`, 1–3 → `medium`, ≥4 → `high`.

#### Ranking Displacement Risk

Based on the count of `exact_copy` or `ai_rewrite` duplicates: 0 → `low`, 1–2 → `medium`, ≥3 → `high`.

***

### Limitations

- **Authentication & paywalls:** Pages behind login, paywalls, or heavy client-side rendering may not be fully crawlable.
- **Timestamp inference is probabilistic:** Published date metadata can be manipulated or absent. Results marked `timestamp_confidence: "unknown"` or `"low"` should be treated as estimates only.
- **Similarity score is an indicator, not legal proof:** A high score suggests duplication but does not constitute evidence for legal action without manual verification.
- **LLM exposure is indirect:** The LLM Exposure Risk Score is based on whether duplicates appear on domains associated with training data collection — it does not confirm your content is inside any specific model.
- **Search API quota:** Bing free tier allows ~1,000 requests/month (~333 URLs at 3 phrases each). For larger volumes, use a paid tier or SerpAPI.
- **Scale:** A single actor run supports up to 500 input URLs. For larger crawls, run multiple actors in parallel via an orchestrator.
- **ONNX model not included in repo:** The `models/all-MiniLM-L6-v2.onnx` file must be downloaded separately and placed in the `models/` directory before building the Docker image.

# Actor input Schema

## `urls` (type: `array`):

List of page URLs, sitemap XML URLs, or domains to scan

## `similarity_threshold` (type: `number`):

Minimum similarity score (0.50–1.00) to flag as duplicate

## `max_urls` (type: `integer`):

Maximum number of URLs to process in one run

## `embedding_provider` (type: `string`):

Embedding model to use. 'local' = free ONNX MiniLM (384d), 'openai' = text-embedding-3-small (1536d), 'gemini' = text-embedding-004 (768d), 'voyage' = voyage-3-lite (512d), 'cohere' = embed-v4.0 (1024d)

## `openai_api_key` (type: `string`):

Required if embedding\_provider is 'openai'

## `gemini_api_key` (type: `string`):

Required if embedding\_provider is 'gemini'. Get one at https://aistudio.google.com/app/apikey

## `voyage_api_key` (type: `string`):

Required if embedding\_provider is 'voyage'. Get one at https://www.voyageai.com

## `cohere_api_key` (type: `string`):

Required if embedding\_provider is 'cohere'. Get one at https://dashboard.cohere.com

## `concurrency` (type: `integer`):

Number of parallel crawlers (1–20)

## `search_api_provider` (type: `string`):

Enable search engine scanning for broader coverage

## `bing_api_key` (type: `string`):

Required if search\_api\_provider is 'bing'

## `serpapi_key` (type: `string`):

Required if search\_api\_provider is 'serpapi'

## `webhook_url` (type: `string`):

HTTP POST endpoint to notify when duplicates are found

## `curated_domains` (type: `array`):

Override the default curated domain list

## `llm_adjacent_domains` (type: `array`):

Override the default LLM-adjacent domain list

## Actor input object example

```json
{
  "urls": [
    "https://example.com/blog/my-article"
  ],
  "similarity_threshold": 0.8,
  "max_urls": 50,
  "embedding_provider": "local",
  "concurrency": 5,
  "search_api_provider": "none"
}
```

# Actor output Schema

## `input_url` (type: `string`):

The URL that was scanned

## `threat_status` (type: `string`):

threats\_detected or no\_threats\_detected

## `confirmed_duplicates_count` (type: `string`):

Number of confirmed duplicate pages found

## `llm_risk_level` (type: `string`):

low, medium, or high

## `cannibalization_risk_level` (type: `string`):

low, medium, or high

# 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 = {
    "urls": [
        "https://example.com/blog/my-article"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("rexreus/vach").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 = { "urls": ["https://example.com/blog/my-article"] }

# Run the Actor and wait for it to finish
run = client.actor("rexreus/vach").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 '{
  "urls": [
    "https://example.com/blog/my-article"
  ]
}' |
apify call rexreus/vach --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Vach : Detect content theft",
        "description": "Detect content theft, AI rewrites, and LLM scraping exposure for your web pages. Input URLs or sitemaps, get semantic similarity scores, duplicate detection, and SEO risk reports per URL.",
        "version": "0.0",
        "x-build-id": "5eTlCmjhEcctdTAxk"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/rexreus~vach/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-rexreus-vach",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/rexreus~vach/runs": {
            "post": {
                "operationId": "runs-sync-rexreus-vach",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/rexreus~vach/run-sync": {
            "post": {
                "operationId": "run-sync-rexreus-vach",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "urls"
                ],
                "properties": {
                    "urls": {
                        "title": "URLs to Monitor",
                        "type": "array",
                        "description": "List of page URLs, sitemap XML URLs, or domains to scan",
                        "items": {
                            "type": "string"
                        }
                    },
                    "similarity_threshold": {
                        "title": "Similarity Threshold",
                        "minimum": 0.5,
                        "maximum": 1,
                        "type": "number",
                        "description": "Minimum similarity score (0.50–1.00) to flag as duplicate",
                        "default": 0.8
                    },
                    "max_urls": {
                        "title": "Max URLs",
                        "maximum": 500,
                        "type": "integer",
                        "description": "Maximum number of URLs to process in one run",
                        "default": 50
                    },
                    "embedding_provider": {
                        "title": "Embedding Provider",
                        "enum": [
                            "local",
                            "openai",
                            "gemini",
                            "voyage",
                            "cohere"
                        ],
                        "type": "string",
                        "description": "Embedding model to use. 'local' = free ONNX MiniLM (384d), 'openai' = text-embedding-3-small (1536d), 'gemini' = text-embedding-004 (768d), 'voyage' = voyage-3-lite (512d), 'cohere' = embed-v4.0 (1024d)",
                        "default": "local"
                    },
                    "openai_api_key": {
                        "title": "OpenAI API Key",
                        "type": "string",
                        "description": "Required if embedding_provider is 'openai'"
                    },
                    "gemini_api_key": {
                        "title": "Google Gemini API Key",
                        "type": "string",
                        "description": "Required if embedding_provider is 'gemini'. Get one at https://aistudio.google.com/app/apikey"
                    },
                    "voyage_api_key": {
                        "title": "Voyage AI API Key",
                        "type": "string",
                        "description": "Required if embedding_provider is 'voyage'. Get one at https://www.voyageai.com"
                    },
                    "cohere_api_key": {
                        "title": "Cohere API Key",
                        "type": "string",
                        "description": "Required if embedding_provider is 'cohere'. Get one at https://dashboard.cohere.com"
                    },
                    "concurrency": {
                        "title": "Concurrency",
                        "minimum": 1,
                        "maximum": 20,
                        "type": "integer",
                        "description": "Number of parallel crawlers (1–20)",
                        "default": 5
                    },
                    "search_api_provider": {
                        "title": "Search API Provider",
                        "enum": [
                            "none",
                            "bing",
                            "serpapi"
                        ],
                        "type": "string",
                        "description": "Enable search engine scanning for broader coverage",
                        "default": "none"
                    },
                    "bing_api_key": {
                        "title": "Bing Search API Key",
                        "type": "string",
                        "description": "Required if search_api_provider is 'bing'"
                    },
                    "serpapi_key": {
                        "title": "SerpAPI Key",
                        "type": "string",
                        "description": "Required if search_api_provider is 'serpapi'"
                    },
                    "webhook_url": {
                        "title": "Webhook URL",
                        "type": "string",
                        "description": "HTTP POST endpoint to notify when duplicates are found"
                    },
                    "curated_domains": {
                        "title": "Custom Curated Domains",
                        "type": "array",
                        "description": "Override the default curated domain list",
                        "items": {
                            "type": "string"
                        }
                    },
                    "llm_adjacent_domains": {
                        "title": "Custom LLM-Adjacent Domains",
                        "type": "array",
                        "description": "Override the default LLM-adjacent domain list",
                        "items": {
                            "type": "string"
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```