API reference · Financial Datasets

financial-datasets/financial-metrics-snapshot

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/financial-metrics-snapshot
Model IDfinancial-datasets/financial-metrics-snapshot
01

Input Schema

5 parameters · 0 required · 5 optional

ParameterTypeRequiredDescription
cikstringOptionalThe Central Index Key (CIK) of the company. Can be used instead of ticker.
isinstringOptionalThe ISIN (International Securities Identification Number) of a non-US listing. An alternative to `ticker` and `exchange`.
marketstringOptionalmarket · Options: UK, US
UKUS
tickerstringOptionalThe ticker symbol of the company.
exchangestringOptionalThe exchange the ticker is listed on. Omit for US listings. Use `LSE` for the London Stock Exchange; any ticker of the company, including a second share class, returns the company's metrics. Price-based values (market cap, enterprise value, valuation ratios, dividend yield) are not yet available for · Options: LSE
LSE
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/financial-metrics-snapshot", {
  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());