API reference · Weibo
weibo/web-v2/user-search
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
weibo/web-v2/user-search01
Input Schema
10 parameters · 0 required · 10 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
age | union | Optional | Age bucket 18y/22y/29y/39y/40y (optional) |
tag | union | Optional | Tag filter (optional) |
auth | union | Optional | Auth type org_vip/per_vip/ord (optional) |
page | integer | Optional | Page number (default 1) · Default: 1 |
work | union | Optional | Company filter (optional) |
query | union | Optional | Search keyword (optional) |
gender | union | Optional | Gender man/women (optional) |
region | union | Optional | Region code from /fetch_city_list (optional) |
school | union | Optional | School filter (optional) |
nickname | union | Optional | Nickname filter (optional) |
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": "weibo/web-v2/user-search",
"page": 1
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());