API reference · Weibo
weibo/search-all
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/weibo/search-allModel ID
weibo/search-all01
Input Schema
8 parameters · 5 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
q | string | Required | Search Keywords. |
endDay | string | Required | End Day (yyyy-MM-dd). |
endHour | integer | Required | End Hour (0-23). |
startDay | string | Required | Start Day (yyyy-MM-dd). |
startHour | integer | Required | Start Hour (0-23). |
page | integer | Optional | Page number, starting with 1. · Default: 1 |
hotSort | boolean | Optional | Hot sort, true for hot sort, false for time sort. Default is false. · Default: false |
contains | string | Optional | Contains filter for the result set. · Options: ALL, PICTURE, VIDEO, MUSIC, LINK · Default: "ALL" ALLPICTUREVIDEOMUSICLINK |
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/weibo/search-all", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"q": "新闻",
"page": 1,
"endDay": "2026-10-29",
"endHour": 23,
"hotSort": false,
"contains": "ALL",
"startDay": "2026-10-22",
"startHour": 0
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());