# Detect TikTok fake views in video

Analyze TikTok video traffic data using advanced algorithms to precisely detect potential fake views and unnatural engagement. Needs item id. Served by TikHub.

Purpose:
- Analyze TikTok video traffic data using advanced algorithms to precisely detect potential fake views and unnatural engagement
- Evaluate content authenticity and traffic quality based on TikTok's Traffic Pool theory
- Provide comprehensive fraud risk analysis with in-depth assessment across 8 dimensions and 20+ metrics
- Deliver professional traffic quality reports and optimization recommendations for creators, MCN agencies, and content managers

Parameters:
- item_id: Video ID, required parameter, can be extracted from video URL (e.g., 7460937381265411370 from https://www.tiktok.com/@tiktok/video/7460937381265411370)
- content_category: Content category, optional parameter, affects engagement rate benchmarks, options include:
  - default: Default category for general content
  - entertainment: Entertainment content, expected to have higher engagement
  - education: Educational content, expected to have moderate engagement and higher save rates
  - product: Product content, expected to have lower engagement but higher conversion
  - verified_large: Large verified accounts, expected to have appropriately lower engagement rates

Return Description:
- `video_metrics`: Core video metrics
  - `total_views`: Total number of views
  - `total_likes`: Total number of likes
  - `total_comments`: Total number of comments
  - `total_favorites`: Total number of saves
  - `total_shares`: Total number of shares
  - `engagement_rates`: Engagement rate metrics, higher is better
    - `like_ratio`: Like rate, normal range 1-10%, may be lower for large accounts
    - `comment_ratio

- Tool ID: `tikhub/tiktok-analytics-detect-fake-views`
- Name in the catalog: Tiktok, Detect fake views in video
- Provider: [TikHub](/providers/tikhub.md)
- Capability: [TikTok videos](/tools/tiktok/videos.md)
- Price: $0.01 per call
- Authentication: an authorised Agentik workspace is required for execution, including zero-price tools.

## Pricing contract

The provider’s price, with no markup. Billed for measured usage.


```json
{
  "model": "per_call",
  "amountUsd": 0.01
}
```

Pricing source: [https://api.tikhub.io/api/v1/tikhub/user/get_all_endpoints_info](https://api.tikhub.io/api/v1/tikhub/user/get_all_endpoints_info). Official per-success route price USD 0.01; daily upstream discounts may reduce provider cost. No discount invented for the customer. 10/second.

Price verification date: 2026-10-05.

## Complete input schema


```json
{
  "type": "object",
  "properties": {
    "item_id": {
      "type": "string",
      "description": "作品id/Video id",
      "title": "Item Id"
    },
    "content_category": {
      "type": "string",
      "description": "内容分类/Content category, options: default, entertainment, education, product, verified_large",
      "default": "default",
      "title": "Content Category"
    }
  },
  "required": [
    "item_id"
  ],
  "additionalProperties": false
}
```

## Published example

This is the provider tool’s published example. Replace example values with the user’s requested inputs, respecting the schema; do not execute an example merely to test a connection.


```json
{
  "tool_id": "tikhub/tiktok-analytics-detect-fake-views",
  "input": {
    "item_id": "7460937381265411370",
    "content_category": "default"
  }
}
```

## Execute and retrieve

Inspect again before execution, explain the price and obtain the required authority. Use MCP run_tool or POST /v1/run with this tool ID, valid input and an idempotency key. Save the returned run ID and follow the actual state. If Agentik answers that the tool is temporarily unavailable, do not retry it blindly; use discovery to propose an alternative.

A partial or uncertain result can still have consumed provider resources. Consult [billing](/docs/billing.md), [idempotency](/docs/idempotency.md) and [asynchronous results](/docs/async.md).

[Provider documentation](https://api.tikhub.io/#/TikTok-Analytics-API/detect_fake_views_api_v1_tiktok_analytics_detect_fake_views_get)

[REST inspection](https://api.agentik.cc/v1/tools/tikhub/tiktok-analytics-detect-fake-views) · [OpenAPI](/openapi.json) · [Connection guide](/connect.md)

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[HTML page](/providers/tikhub/tiktok-analytics-detect-fake-views) · [Agent index](/llms.txt)