API reference · Tavily

tavily/search

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 IDtavily/search
01

Input Schema

8 parameters · 1 required · 7 optional

ParameterTypeRequiredDescription
querystringRequiredThe search query.
topicstringOptionalTopic category to focus the search. · Options: general, news, finance · Default: "general"
generalnewsfinance
max_resultsintegerOptionalMaximum number of results to return. · Min: 1 · Max: 20 · Default: 5
search_depthstringOptionalDepth of search. 'advanced' returns more comprehensive results. · Options: basic, advanced · Default: "basic"
basicadvanced
include_answerbooleanOptionalInclude an LLM-generated answer summarizing the results. · Default: false
exclude_domainsstring[]OptionalExclude results from these domains.
include_domainsstring[]OptionalOnly include results from these domains.
include_raw_contentbooleanOptionalInclude the full raw page content for each result. · Default: false
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": "tavily/search",
    "topic": "general",
    "max_results": 5,
    "search_depth": "basic",
    "include_answer": false,
    "include_raw_content": false
  }),
});

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