API reference · TikTok
tiktok/app-v3/user-post-videos
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
tiktok/app-v3/user-post-videos01
Input Schema
6 parameters · 0 required · 6 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
count | integer | Optional | Maximum count number · Default: 20 |
region | string | Optional | Region, optional parameter, if not passed, the US region data will be used by default. After passing, the data of the corresponding country and region will be preferred, for example: US, GB, FR, JP, SG, VN, etc. · Default: "" |
sort_type | integer | Optional | Sort type, 0-Latest, 1-Hot · Default: 0 |
unique_id | string | Optional | User unique_id, optional parameter, if sec_user_id is empty, use unique_id to get user video data, unique_id is also the user's username. · Default: "" |
max_cursor | integer | Optional | Maximum cursor, used for paging, the first page is 0, the second page is the max_cursor value in the first response. · Default: 0 |
sec_user_id | string | Optional | User sec_user_id, use sec_user_id to get user video data first, if sec_user_id is empty, use unique_id to get user video data. · 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
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/app-v3/user-post-videos",
"count": 20,
"sort_type": 0,
"max_cursor": 0
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());