API reference · WeChat Channels
wechat-channels/search-video
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/api/wechat-channels/search-videoModel ID
wechat-channels/search-video01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
keyword | string | Required | Search keyword for WeChat Channels video results. |
offset | integer | Optional | Search result offset returned by the previous WeChat Channels search response. Use 0 for the first page. · Default: 0 |
sortType | string | Optional | Sort order for WeChat Channels video search results. · Options: COMPREHENSIVE, LATEST, HOT · Default: "COMPREHENSIVE" COMPREHENSIVELATESTHOT |
currentPage | integer | Optional | Current page number starting from 1 for WeChat Channels web search pagination. · Default: 1 |
publishTimeType | string | Optional | Publish time filter for WeChat Channels video web search. · Options: ALL, ONE_DAY, SEVEN_DAYS, HALF_YEAR · Default: "ALL" ALLONE_DAYSEVEN_DAYSHALF_YEAR |
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/api/wechat-channels/search-video", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"offset": 0,
"keyword": "人工智能",
"sortType": "COMPREHENSIVE",
"currentPage": 1,
"publishTimeType": "ALL"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());