API reference · TikTok
tiktok/shop-web/product-reviews-v2
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
tiktok/shop-web/product-reviews-v201
Input Schema
6 parameters · 1 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
product_id | string | Required | Product ID (required) |
region | string | Optional | Region code, available regions are as follows: · Default: "US" |
sort_rule | integer | Optional | Sort rule, default 2 · Default: 2 |
page_start | integer | Optional | Starting page number, default 1 · Default: 1 |
filter_type | integer | Optional | Filter type · Default: 1 |
filter_value | integer | Optional | Star filter · Default: 6 |
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": "tiktok/shop-web/product-reviews-v2",
"region": "US",
"sort_rule": 2,
"page_start": 1,
"filter_type": 1,
"filter_value": 6
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());