tiktok/ads/ad-keyframe-analysis
Get keyframe analysis of ad videos to understand audience retention at different time points Analyze which time points attract viewers most and where viewers drop off Help optimize ad video structure to improve completio...
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runtiktok/ads/ad-keyframe-analysisInput Schema
2 parameters · 1 required · 1 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
material_id | string | Required | Ad material ID, required parameter |
metric | string | Optional | Analysis metric, options: |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Code Examples
Ready-to-run snippets
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "tiktok/ads/ad-keyframe-analysis",
"prompt": "a beautiful sunset over mountains"
}'API README
Get ad keyframe analysis
Get keyframe analysis of ad videos to understand audience retention at different time points Analyze which time points attract viewers most and where viewers drop off Help optimize ad video structure to improve completion rates. It is suitable for tiktok workflows.
Capability
Get keyframe analysis of ad videos to understand audience retention at different time points Analyze which time points attract viewers most and where viewers drop off Help optimize ad video structure to improve completion rates. It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.
Common use cases
- Build media monitoring, content intelligence, and publishing-support workflows.
- Create repeatable integrations that pass structured results to downstream business systems.
- Support scheduled jobs, internal tools, and agent workflows with structured results.