API reference · Douyin
douyin/search/challenge-search-v2
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/search/challenge-search-v201
Input Schema
8 parameters · 0 required · 8 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
cursor | integer | Optional | Pagination cursor (0 for first request) · Default: 0 |
keyword | string | Optional | Search keyword, e.g., "game" · Default: "猫咪" |
backtrace | string | Optional | Backtrace for pagination, obtained from the last response · Default: "" |
search_id | string | Optional | Search ID for pagination · Default: "" |
sort_type | string | Optional | Sorting method · Default: "0" |
content_type | string | Optional | Content type filter · Default: "0" |
publish_time | string | Optional | Publish time filter · Default: "0" |
filter_duration | string | Optional | Video duration filter · Default: "0" |
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/search/challenge-search-v2",
"cursor": 0,
"keyword": "猫咪",
"sort_type": "0",
"content_type": "0",
"publish_time": "0",
"filter_duration": "0"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());