API reference · TikTok

tiktok/app-v3/music-search-result

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/run
Model IDtiktok/app-v3/music-search-result
01

Input Schema

6 parameters · 1 required · 5 optional

ParameterTypeRequiredDescription
keywordstringRequiredKeyword
countintegerOptionalNumber, do not exceed 20 · Default: 20
offsetintegerOptionalOffset, starting from 0, the second page gets the cursor value from the response as the offset to continue the request. · Default: 0
regionstringOptionalRegion, default is US-America, for optional values please refer to TikTok region codes or ISO 3166-1 alpha-2 country codes. · Default: "US"
filter_byintegerOptionalFilter type, 0-All, 1-Title, 2-Author, default is 0-All · Default: 0
sort_typeintegerOptionalSort type, 0-Relatedness, 1-Most used, 2-Latest, 3-Shortest duration, 4-Longest duration, default is 0-Relatedness · Default: 0
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/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "tiktok/app-v3/music-search-result",
    "count": 20,
    "offset": 0,
    "region": "US",
    "filter_by": 0,
    "sort_type": 0
  }),
});

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