API reference · Xiaohongshu
xiaohongshu/app-v2/search-images
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
xiaohongshu/app-v2/search-images01
Input Schema
6 parameters · 1 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
keyword | string | Required | Search keyword |
page | integer | Optional | Page number, start from 1 · Default: 1 |
source | string | Optional | Source, default "explore_feed" · Default: "explore_feed" |
search_id | string | Optional | Search ID, pass value from first search response for pagination · Default: "" |
word_request_id | string | Optional | Word request ID, pass value from first search response for pagination · Default: "" |
search_session_id | string | Optional | Search session ID, pass value from first search response for pagination · Default: "" |
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": "xiaohongshu/app-v2/search-images",
"page": 1,
"source": "explore_feed"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());