API reference · Zhihu
zhihu/search
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/zhihu/searchModel ID
zhihu/search01
Input Schema
6 parameters · 1 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
keyword | string | Required | Search keywords. |
sort | string | Optional | Sorting criteria. · Options: upvoted_count, created_time upvoted_countcreated_time |
offset | integer | Optional | Start offset, begins with 0. · Default: 0 |
vertical | string | Optional | Result type filter. · Options: answer, article, zvideo answerarticlezvideo |
timeInterval | string | Optional | Publish time interval filter. · Options: a_day, a_week, a_month, three_months, half_a_year, a_year a_daya_weeka_monththree_monthshalf_a_yeara_year |
showAllTopics | string | Optional | Whether to show all topics. · Options: FALSE, TRUE · Default: "FALSE" FALSETRUE |
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/zhihu/search", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"offset": 0,
"keyword": "人工智能",
"showAllTopics": "FALSE"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());