API reference · Similarweb
similarweb/deduplicated-audience
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/api/similarweb/deduplicated-audienceModel ID
similarweb/deduplicated-audience01
Input Schema
7 parameters · 3 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
domain | string | Required | domain |
end_date | string | Required | end_date |
start_date | string | Required | start_date |
country | string | Optional | Worldwide data only; values are case-insensitive. · Options: ww · Default: "ww" ww |
web_source | string | Optional | web_source · Options: desktop, mobile_web, total desktopmobile_webtotal |
granularity | string | Optional | granularity · Options: monthly · Default: "monthly" monthly |
main_domain_only | boolean | Optional | main_domain_only · 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 |
03
Code Examples
Ready-to-run snippets
const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/api/similarweb/deduplicated-audience", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"country": "ww",
"granularity": "monthly",
"main_domain_only": true
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());