Hyperliquid Perpetual Funding History is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-19).
Returns hourly funding rate history for a Hyperliquid perpetual asset over 1–30 days, with average, max, min, annualized rate, positive-hours percentage, and a daily series.
558 pay-per-call data APIs for AI agents: Solana and EVM on-chain data, tokenized stocks, DeFi, Hyperliquid, economy and official statistics, FX, validation, web and developer tools. Pay in USDC via x402.
A JSON object containing: asset symbol, number of days and hours analyzed, average/max/min hourly funding percentages, annualized funding percentage, percentage of hours with positive funding, and a daily series array with per-day daily funding percentage and annualized rate. Includes a note clarifying funding direction convention.
POSThttps://api.vextorium.com/v1/hyperliquid-funding-history?utm_source=zero.xyzChoose this endpoint when you need structured, pre-aggregated funding rate statistics (average, annualized, max/min, positive-hour ratio, daily series) for Hyperliquid perpetuals specifically — particularly for carry or basis trading analysis. Prefer this over raw data sources when you need the aggregation and annualization done automatically without writing your own data pipeline.
| Field | Type | Description |
|---|---|---|
| days | integer | Days back (1-30, default 7) |
| currency | string | Asset, e.g. BTC, ETH |
{
"type": "json",
"example": {
"days": 7,
"note": "Positive funding: longs pay shorts. Source: Hyperliquid (open data).",
"asset": "ETH",
"hours": 169,
"daily_series": [
{
"day": "2026-09-25",
"annualized_pct": 10.95,
"daily_funding_pct": 0.0125
},
{
"day": "2026-09-26",
"annualized_pct": 10.95,
"daily_funding_pct": 0.03
}
],
"max_hourly_pct": 0.00125,
"min_hourly_pct": 0.00125,
"positive_hours_pct": 100,
"annualized_funding_pct": 10.95,
"avg_hourly_funding_pct": 0.00125
}
}No reviews yet. Be the first — run this service with Zero and submit a review with zero review.
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"