Read live Hyperliquid market data from the desk computer with curl or the Python SDK - mid, mark and oracle prices, order book depth, funding (current, predicted, historical), open interest, volume, candles, perp and spot metadata, margin tiers, and how to save datasets for the strategy lab. Read-only, no key. Use for any market brief, depth read, funding question or data pull.
Coding
Funding Rate Hl
Try itCurrent Hyperliquid perpetual funding rates across tracked coins
What it does
Current Hyperliquid perpetual funding rates across tracked coins
The skill document
funding-rate-hl
What It Does
Current Hyperliquid perpetual funding rates across tracked coins. This signal is computed in real time from APEX Runner's live autonomous trading system operating across Kraken, Coinbase Advanced Trade, and Hyperliquid — not from backtests or third-party aggregators.
When to Use
- Before opening or holding Hyperliquid perp positions
- To identify funding arb opportunities
- To avoid paying excessive funding
How to Use
The agent makes an x402-authenticated GET request to:
https://apexrunner.ai/signals/funding-rate-hl
The x402 client handles payment authorisation automatically. No API key, no account, no subscription required — just an EVM wallet with USDC on Base mainnet.
# Example using the x402-python client
from x402.client import x402_get
response = x402_get(
url="https://apexrunner.ai/signals/funding-rate-hl",
private_key=os.environ["EVM_PRIVATE_KEY"]
)
print(response.json())
Example Response
{
"BTC": 0.0003,
"ETH": 0.00025,
"SOL": 0.00041,
"AVAX": 0.00018,
"timestamp": "2026-06-23T14:00:00Z"
}
Pricing
$0.02/call — standard price
Early adopters automatically receive 30% off ($0.01/call) until 2026-09-21. Discount tiers apply automatically based on wallet call history:
- Early Adopter (0–9 calls): 30% off
- Engaged (10–49 calls): 15% off
- Loyal (50–199 calls): 15% permanent
- VIP (200+ calls): 20% permanent
Check your tier: https://apexrunner.ai/signals/my-pricing
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APEX Runner — autonomous AI crypto trading signals. apexrunner.ai
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