API reference · Trustpilot

trustpilot/company-review-summary

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.

POSThttps://api.sandbase.ai/v1/api/trustpilot/company-review-summary
Model IDtrustpilot/company-review-summary
01

Input Schema

3 parameters · 0 required · 3 optional

ParameterTypeRequiredDescription
limitintegerOptionalMaximum number of company summaries to return when using query mode (max 10). Ignored when domain is provided. · Min: -9007199254740991 · Max: 9007199254740991
querystringOptionalSearch keyword to find companies (e.g. 'AI Services'). When provided, searches for matching companies and returns their review summaries. Either 'domain' or 'query' must be provided.
domainstringOptionalCompany domain/identifying name as used on Trustpilot (e.g. 'www.nike.com'). Either 'domain' or 'query' must be provided.
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

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

  1. Submit — POST to /v1/run, receive an id
  2. Poll — GET /v1/run/{id} until status is completed, failed, or timeout
  3. Retrieve — Read outputs from the completed response
03

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/api/trustpilot/company-review-summary", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({}),
});

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