API reference · App Store

app-store/search

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.

POSThttps://api.sandbase.ai/v1/api/app-store/search
Model IDapp-store/search
01

Input Schema

8 parameters · 1 required · 7 optional

ParameterTypeRequiredDescription
termstringRequiredSearch term, 1-2,048 UTF-8 bytes (at most 4,096 bytes URL-encoded). · Min length: 1
numintegerOptionalMaximum results after filtering, 1-200. Default 10. · Min: 1 · Max: 200
langstringOptionalLanguage-region code, such as 'en-us' or 'fr-fr'. Default 'en-us'.
devicestringOptional'mobile' for iPhone apps, 'tablet' for iPad apps, 'desktop' for Mac apps. Default 'mobile'. · Options: mobile, tablet, desktop
mobiletabletdesktop
countrystringOptionalTwo-letter Apple storefront country, such as 'us' or 'gb' ('uk' is accepted). Default 'us'.
propertystringOptional'developer' matches developer names instead of app names, ignoring case. · Options: developer
developer
category_idintegerOptionalFilter results by a native genre identifier. · Min: 1 · Max: 2147483647
disallow_explicitbooleanOptionalExclude explicit results.
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

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

  1. Submit — POST to /v1/run, receive an id
  2. Poll — GET /v1/run/{id} until status is completed, failed, or timeout
  3. Retrieve — Read outputs from the completed response
03

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/api/app-store/search", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({}),
});

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