douyin/xingtu-v2/author-daily-fans
Get creator daily fans trend, with optional date range.
Input
End date, format YYYYMMDD, optional
Platform source, default 1
Start date, format YYYYMMDD, optional
Idle
Example output — click Run to generate your own
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
douyin/xingtu-v2/author-daily-fans01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
author_id | string | Required | Creator ID |
end_date | union | Optional | End date, format YYYYMMDD, optional |
start_date | union | Optional | Start date, format YYYYMMDD, optional |
author_type | union | Optional | Author type, optional |
platform_source | integer | Optional | Platform source, default 1 |
02
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 |
03
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": "douyin/xingtu-v2/author-daily-fans",
"prompt": "a beautiful sunset over mountains"
}'API README
Get Author Daily Fans
Get creator daily fans trend, with optional date range. It is suitable for douyin workflows.
Capability
Get creator daily fans trend, with optional date range. It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.
Common use cases
- Connect structured data to dashboards, agents, internal tools, and automated workflows.
- Create repeatable integrations that pass structured results to downstream business systems.
- Support scheduled jobs, internal tools, and agent workflows with structured results.