API reference · Xiaohongshu

xiaohongshu/pgy-v2/data-core-data

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/api/xiaohongshu/pgy-v2/data-core-data
Model IDxiaohongshu/pgy-v2/data-core-data
01

Input Schema

5 parameters · 1 required · 4 optional

ParameterTypeRequiredDescription
userIdstringRequiredKOL's user ID.
businessstringOptionalBusiness type. · Options: DAILY_NOTE, COOPERATE_NOTE · Default: "DAILY_NOTE"
DAILY_NOTECOOPERATE_NOTE
dateTypestringOptionalTime range for data. · Options: DAY_30, DAY_90 · Default: "DAY_30"
DAY_30DAY_90
noteTypestringOptionalType of note. · Options: PHOTO_TEXT_AND_VIDEO, PHOTO_TEXT, VIDEO · Default: "PHOTO_TEXT_AND_VIDEO"
PHOTO_TEXT_AND_VIDEOPHOTO_TEXTVIDEO
advertiseSwitchstringOptionalAdvertisement filter. · Options: ALL, ORGANIC_ONLY · Default: "ALL"
ALLORGANIC_ONLY
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/api/xiaohongshu/pgy-v2/data-core-data", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "userId": "5a73c5fa4eacab4c4ccc9778",
    "business": "DAILY_NOTE",
    "dateType": "DAY_30",
    "noteType": "PHOTO_TEXT_AND_VIDEO",
    "advertiseSwitch": "ALL"
  }),
});

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