API reference · YouTube
youtube/web-v2/general-search-v2
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/runModel ID
youtube/web-v2/general-search-v201
Input Schema
7 parameters · 0 required · 7 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
type | union | Optional | Result type filter - video/channel/playlist/movie |
keyword | union | Optional | Search keyword (required for first request) |
sort_by | union | Optional | Sort by - relevance/upload_date/view_count/rating |
duration | union | Optional | Video duration filter - short(<4min)/medium(4-20min)/long(>20min) |
features | union | Optional | Feature filter (comma separated) - live/4k/hd/subtitles/creative_commons/360/vr180/3d/hdr |
upload_date | union | Optional | Upload date filter - last_hour/today/this_week/this_month/this_year |
continuation_token | union | Optional | Pagination token (pass from previous response for next page) |
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/run", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "youtube/web-v2/general-search-v2"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());