Hyperliquid Perp Analytics

Hyperliquid perpetuals at wallet level: top-trader rankings, position matching, cohort segmentation, 5-minute position snapshots, leaderboards, liquidations, builder analytics and candles — over MCP tools and the /v1/hyperliquid and /v1/hl-cohorts REST families.

Coverage: Traders, cohorts, 5-min position snapshots, leaderboards, liquidations, builders, candles since the end of 2025-12-31. Free — API key — delivered via MCP · API.

Data summary

Getting started

curl -H "X-API-KEY: vk_..." \
  "https://data.vike.io/v1/hyperliquid/leaderboard?window=7d&limit=25"

import requests

r = requests.get("https://data.vike.io/v1/hyperliquid/liquidations",
                 params={"symbol": "BTC", "limit": 20},
                 headers={"X-API-KEY": "vk_..."}, timeout=30)
r.raise_for_status()
for liq in r.json()["liquidations"]:
    print(liq)

{"jsonrpc": "2.0", "id": 1, "method": "tools/call",
 "params": {"name": "hl_perp_top_traders",
            "arguments": {"window": "7d"}}}

Example applications

• Copy-trading candidate screening

  If you are evaluating whether HL's consistently profitable wallets are worth mirroring, hl_perp_top_traders plus per-wallet trade history gives you the entry and exit record to test that on, not just a PnL number.

• Crowding and liquidation-risk monitoring

  If your concern is that a trade is crowded, cohort positioning and the liquidations feed show where leveraged size is stacked and at what prices it starts unwinding.

• Positioning divergence signals

  If the thesis is that sophisticated wallets diverge from the crowd before reversals, hl_position_match quantifies how your (or any) position sits against each cohort.

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FAQ

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