API reference · Zhihu

zhihu/web/article-search-v3

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

APISynchronousOpen model
Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run
Model IDzhihu/web/article-search-v3
01

Input Schema

10 parameters · 1 required · 9 optional

ParameterTypeRequiredDescription
keywordstringRequiredSearch Keywords
sortstringOptionalEmpty comprehensive sorting · Default: ""
limitstringOptionalNumber of articles per page · Default: "20"
offsetstringOptionalOffset · Default: "0"
verticalstringOptionalEmpty unlimited type · Default: ""
search_sourcestringOptionalSearch Source · Default: "Normal"
time_intervalstringOptionalTime interval · Default: ""
vertical_infostringOptionalVertical information · Default: ""
search_hash_idstringOptionalSearch Hash ID, used to filter duplicate search results · Default: ""
show_all_topicsintegerOptionalShow all topics · Default: 0
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-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": "zhihu/web/article-search-v3",
    "limit": "20",
    "offset": "0",
    "search_source": "Normal",
    "show_all_topics": 0
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());