Hyperliquid Candles

Last 30 days

Uptime

0.0%

Response time

- typical, - slowest 5%

Last check

3 h ago: Amount "0.004" is not in atomic token units

Next check

any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://api.vextorium.com/v1/hyperliquid-candles" \
  -H "content-type: application/json" \
  -d '{"currency":"SOL","interval":"1d","limit":7}'

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.vextorium.com%2Fv1%2Fhyperliquid-candles
const res = await pay("https://api.vextorium.com/v1/hyperliquid-candles", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"currency":"SOL","interval":"1d","limit":7}),
});
console.log(await res.json());

Example input

{
  "currency": "SOL",
  "interval": "1d",
  "limit": 7
}

Example output

{
  "asset": "SOL",
  "candles": [
    {
      "close": 121.38,
      "max": 122.44,
      "min": 119.79,
      "open": 122.16,
      "start": "2026-09-26T00:00+00:00",
      "trades": 71415,
      "volume": 1833469.96
    },
    {
      "close": 121.95,
      "max": 124.95,
      "min": 120.12,
      "open": 121.38,
      "start": "2026-09-27T00:00+00:00",
      "trades": 82822,
      "volume": 1837862.37
    }
  ],
  "interval": "1d",
  "source": "Hyperliquid (price from its own perp market; open data)",
  "summary": {
    "annualized_volatility_pct": 27.97,
    "change_pct": -0.88,
    "max": 124.95,
    "min": 116.3
  }
}

Security scan

• No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks