API reference · Douyin
douyin/xingtu-v2/playlet-actor-rank-list
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
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/playlet-actor-rank-list01
Input Schema
5 parameters · 0 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
date | string | Optional | Date, format YYYYMMDD · Default: "20251130" |
name | string | Optional | Ranking name, `playlet_actor_composite_list`=composite list · Default: "playlet_actor_composite_list" |
period | integer | Optional | 7=weekly, 30=monthly · Default: 30 |
category | string | Optional | Category, default `playlet_actor_list` · Default: "playlet_actor_list" |
qualifier | string | Optional | Actor type, empty=all · Default: "" |
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
const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "douyin/xingtu-v2/playlet-actor-rank-list",
"date": "20251130",
"name": "playlet_actor_composite_list",
"period": 30,
"category": "playlet_actor_list"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());