API reference · Douyin
douyin/web/user-fans-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/web/user-fans-list01
Input Schema
4 parameters · 0 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
count | integer | Optional | Number, default is 20, it is recommended to keep it unchanged. · Default: 20 |
max_time | string | Optional | Maximum timestamp, default is 0, get from the returned data later, used for paging. · Default: "0" |
sec_user_id | string | Optional | User sec_user_id · Default: "MS4wLjABAAAA9y04iBlVdeMQqTJbqsQZKb-tqWqWW29jPVJqideHT70" |
source_type | integer | Optional | Source type, default is `1`, use `2` as the source type for the first request, and then use `1` as the source type for the subsequent request. · 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
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/web/user-fans-list",
"count": 20,
"max_time": "0",
"sec_user_id": "MS4wLjABAAAA9y04iBlVdeMQqTJbqsQZKb-tqWqWW29jPVJqideHT70",
"source_type": 1
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());