API reference · Xiaohongshu

xiaohongshu/app-v2/note-comments

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

APISynchronousOpen model
Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run
Model IDxiaohongshu/app-v2/note-comments
01

Input Schema

6 parameters · 0 required · 6 optional

ParameterTypeRequiredDescription
indexintegerOptionalComment index, pass 0 for first request, pass index value from previous response for next page · Default: 0
cursorstringOptionalPagination cursor, leave empty for first request, pass cursor value from previous response for next page · Default: ""
note_idstringOptionalNote ID, e.g. "697c0eee000000000a03c308" · Default: ""
pageAreastringOptionalFold status, default "UNFOLDED" (unfolded), pass pageArea value from previous response for next page · Default: "UNFOLDED"
share_textstringOptionalXiaohongshu sharing link (support APP and Web sharing link) · Default: ""
sort_strategystringOptionalSort strategy · Default: "latest_v2"
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-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/note-comments",
    "index": 0,
    "pageArea": "UNFOLDED",
    "sort_strategy": "latest_v2"
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());