xiaohongshu/app-v2/product-recommendations
Get recommended products list by SKU ID, using cursor pagination.
Input
Pagination cursor, leave empty for first request, pass cursor_score value from previous response for next page
Region, default "US"
Product SKU ID (required), e.g. "669ddd44e05f3700011067ed"
Idle
Example output — click Run to generate your own
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/product-recommendations01
Input Schema
3 parameters · 1 required · 2 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
sku_id | string | Required | Product SKU ID (required), e.g. "669ddd44e05f3700011067ed" |
region | string | Optional | Region, default "US" · Default: "US" |
cursor_score | string | Optional | Pagination cursor, leave empty for first request, pass cursor_score value from previous response for next page · 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
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "xiaohongshu/app-v2/product-recommendations",
"region": "US",
"cursor_score": "",
"prompt": "a beautiful sunset over mountains"
}'API README
Get product recommendations
Get recommended products list by SKU ID, using cursor pagination. It is suitable for xiaohongshu workflows.
Capability
Get recommended products list by SKU ID, using cursor pagination. It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.
Common use cases
- Connect structured data to dashboards, agents, internal tools, and automated workflows.
- Create repeatable integrations that pass structured results to downstream business systems.
- Support scheduled jobs, internal tools, and agent workflows with structured results.