API reference · Financial Datasets

financial-datasets/prices

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/api/financial-datasets/prices
Model IDfinancial-datasets/prices
01

Input Schema

6 parameters · 0 required · 6 optional

ParameterTypeRequiredDescription
cursorstringOptionalOpaque pagination cursor from a previous response's next_page_url. When provided, all other query parameters are ignored: the cursor carries the original request's filters. Treat it as opaque; do not construct or modify it.
tickerstringOptionalThe stock ticker symbol (e.g. AAPL, MSFT).
end_datestringOptionalThe end date for the price data (format: YYYY-MM-DD). Provider reference (supplier schema): `{"format":"date","type":"string"}`.
intervalstringOptionalThe time interval for the price data. Provider reference (supplier schema): `{"enum":["day","week","month","year"],"type":"string"}`.
start_datestringOptionalThe start date for the price data (format: YYYY-MM-DD). Provider reference (supplier schema): `{"format":"date","type":"string"}`.
interval_multiplierstringOptionalinterval_multiplier
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/api/financial-datasets/prices", {
  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());