API reference · Douyin
douyin/xingtu-v2/ranking-list-data
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
douyin/xingtu-v2/ranking-list-data01
Input Schema
5 parameters · 0 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
code | integer | Optional | Ranking type code · Default: 1 |
date | string | Optional | Date, format YYYYMMDD · Default: "20260131" |
period | integer | Optional | 7=weekly, 30=monthly · Default: 30 |
version | string | Optional | `flow_split`=default for video rankings, `base`=commonly used for live rankings · Default: "flow_split" |
qualifier | string | Optional | Category qualifier_id from `get_ranking_list_catalog` · Default: "1901" |
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/ranking-list-data",
"code": 1,
"date": "20260131",
"period": 30,
"version": "flow_split",
"qualifier": "1901"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());