API reference · CoinGecko

coingecko/coins-ohlc

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/coingecko/coins-ohlc
Model IDcoingecko/coins-ohlc
01

Input Schema

5 parameters · 3 required · 2 optional

ParameterTypeRequiredDescription
idstringRequiredCoin ID. *refers to [`/coins/list`](/reference/coins-list). · Default: "bitcoin"
daysstringRequiredData up to number of days ago. · Options: 1, 7, 14, 30, 90, 180, 365, max · Default: "1"
17143090180365max
vs_currencystringRequiredTarget currency of price data. *refers to [`/simple/supported_vs_currencies`](/reference/simple-supported-currencies). · Default: "usd"
intervalstringOptionalData interval, leave empty for auto granularity. · Options: daily, hourly
dailyhourly
precisionstringOptionalDecimal place for currency price value. · Options: full, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
full0123456789101112131415161718
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/coingecko/coins-ohlc", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "id": "bitcoin",
    "days": "1",
    "vs_currency": "usd"
  }),
});

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