API reference · Lemon8
lemon8/app/search
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
lemon8/app/search01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Required | Search keyword |
order_by | string | Optional | Search sort type, default is an empty string, optional values are as follows: · Default: "" |
max_cursor | string | Optional | Pagination parameter, can be obtained from the return result of the last request. It is empty for the first request, and the `max_cursor` returned by the last request is used for subsequent requests. You can judge whether there is more data by the `has_more` field in the return result. · Default: "" |
search_tab | string | Optional | Search type, default is `main`, optional values are as follows: · Default: "main" |
filter_type | string | Optional | Search filter type, default is an empty string, optional values are as follows: · Default: "" |
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": "lemon8/app/search",
"search_tab": "main"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());