API reference · DuckDuckGo
duckduckgo/maps
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/api/duckduckgo/mapsModel ID
duckduckgo/maps01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
q | string | Required | Place or category query, up to 500 characters. · Min length: 1 · Max length: 500 |
lat | number | Optional | Viewport center latitude. Requires lon. · Min: -90 · Max: 90 |
lon | number | Optional | Viewport center longitude. Requires lat. · Min: -180 · Max: 180 |
bbox | string | Optional | Viewport rectangle as 'top,left,bottom,right'. Required unless lat and lon are supplied. |
strict_bbox | boolean | Optional | Exclude results outside the requested bounds. Default true. |
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 |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom 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/duckduckgo/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());