API reference · TikTok
tiktok/app-v3/general-search-result
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/general-search-result01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
keyword | string | Required | Keyword |
count | integer | Optional | Number · Default: 20 |
offset | integer | Optional | Offset · Default: 0 |
sort_type | integer | Optional | 0-Relatedness, 1-Most likes · Default: 0 |
publish_time | integer | Optional | 0-Unlimited, 1-Last day, 7-Last week, 30-Last month, 90-Last three months, 180-Last half year · Default: 0 |
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/general-search-result",
"count": 20,
"offset": 0,
"sort_type": 0,
"publish_time": 0
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());