Detect fake views in video

POST/v1/api/tiktok/analytics/detect-fake-views

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

Request body

Call this sync operation at its vendor-qualified URL. The model identity is encoded in the path; only operation-specific input fields belong in the request body.

Optional<string>content_category

Content category, optional parameter, affects engagement rate benchmarks, options include:

stringitem_idrequired

Video ID, required parameter, can be extracted from video URL (e.g., 7460937381265411370 from https://www.tiktok.com/@tiktok/video/7460937381265411370)

Response Schema

A synchronous completed response contains exactly one outputs item with only data. Failed and timeout responses contain error and never outputs.

stringidrequired

Opaque SandBase run identifier. Use it exactly as returned; no prefix is guaranteed.

stringstatusrequired

Current public run status.

Allowed values: pending, running, completed, failed, timeout

stringmodelrequired

Public SandBase model name used for this run.

Optional<array<object>>outputs

Present only for completed runs. Contains exactly one item whose only field is data.

Optional<object | array>outputs[0].data

Operation-specific business payload. This reference uses an empty object when no safe example can be confirmed.

Optional<object>error

Present only for failed or timeout runs. Contains a public error type and sanitized message.

Optional<string>error.type

Stable public error category.

Optional<string>error.message

Sanitized error message safe to show to clients.

Optional<object>usage

Usage details when available.

API capabilities

array<string>capability_tagsrequired

Capabilities declared by the API registry.

Default: api, tiktok

stringexecution_moderequired

Execution mode declared by the API registry.

Default: sync

pending response

{"id":"f3d2e8a1-7c4b-4a12-9d2e-123456789abc","status":"pending","model":"tiktok/analytics/detect-fake-views"}

running response

{"id":"f3d2e8a1-7c4b-4a12-9d2e-123456789abc","status":"running","model":"tiktok/analytics/detect-fake-views"}

completed response

{"id":"f3d2e8a1-7c4b-4a12-9d2e-123456789abc","status":"completed","model":"tiktok/analytics/detect-fake-views","outputs":[{"data":{}}]}

failed response

{"id":"f3d2e8a1-7c4b-4a12-9d2e-123456789abc","status":"failed","model":"tiktok/analytics/detect-fake-views","error":{"type":"upstream_error","message":"upstream request failed"}}

timeout response

{"id":"f3d2e8a1-7c4b-4a12-9d2e-123456789abc","status":"timeout","model":"tiktok/analytics/detect-fake-views","error":{"type":"upstream_error","message":"upstream request failed"}}

curl -X POST https://api.sandbase.ai/v1/api/tiktok/analytics/detect-fake-views \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{\n
  "item_id": "item_id"
}'

Response200 OK

{
  "id": "f3d2e8a1-7c4b-4a12-9d2e-123456789abc",
  "status": "completed",
  "model": "tiktok/analytics/detect-fake-views",
  "outputs": [
    {
      "data": {}
    }
  ]
}