API reference · Xiaohongshu
xiaohongshu/app-v2/topic-feed
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
xiaohongshu/app-v2/topic-feed01
Input Schema
8 parameters · 1 required · 7 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
page_id | string | Required | Topic page ID (required), e.g. "5c1cc866febed9000184b7c1" |
sort | string | Optional | Sort type |
source | string | Optional | Source, default "normal" |
session_id | string | Optional | Session ID, keep consistent for pagination |
cursor_score | string | Optional | Pagination cursor score, pass last item's cursor_score from previous response |
last_note_ct | string | Optional | Last note create time from previous page |
last_note_id | string | Optional | Last note ID from previous page |
first_load_time | string | Optional | First load timestamp, keep consistent for pagination |
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/topic-feed"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());