API reference · Bing Maps

bing-maps/maps

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/bing-maps/maps
Model IDbing-maps/maps
01

Input Schema

6 parameters · 0 required · 6 optional

ParameterTypeRequiredDescription
qstringOptionalSearch query. Required unless place_id is supplied. · Min length: 1
cpstringOptionalMap center as 'latitude~longitude', such as '47.6062~-122.3321'.
countintegerOptionalNumber of listings, 1-30. Default 30. · Min: 1 · Max: 30
firstintegerOptionalListing offset, 0-10,000. Default 0. · Min: 0 · Max: 10000
setlangstringOptionalInterface language such as 'en-US'. · Min length: 2 · Max length: 32
place_idstringOptionalNative Bing Maps entity ID for a detail lookup. Required unless q is supplied. · Min length: 1
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/bing-maps/maps", {
  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());