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Hyperliquid Style Distribution Analytics
x402
Hyperliquid Style Distribution Analytics is a paid API for AI agents from hyperliquid-data.v1337.org, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Returns the distribution of trading styles (e.g. scalper, swing, trend-follower) across Hyperliquid perpetuals traders, computed from on-chain fill data
Price / call$0.001
Success—
StatusUnknown
How this service works
First-party Hyperliquid trading intelligence: perp fills, position lifecycles, all-wallet leaderboards, trader cohorts, liquidation risk and HIP-4 prediction markets - computed from our own node_fills ledger plus the Hyperliquid public info API (no third-party data source). Free discovery (/healthz, /v1/stats, /.well-known/x402, /v1/openapi.json) and free sample routes (/v1/markets/overview, /v1/assets); all other API calls are $0.001 USDC per request via x402 on Base (no account, no API key).
Output
A breakdown of Hyperliquid perpetuals traders by trading style classification (e.g. scalper, day trader, swing trader, trend-follower), including counts and/or percentage shares per style bucket, derived from the node_fills ledger. May be filterable by asset or time window depending on request body.
Example use cases
Identifying dominant retail trading behavior
“What's the current breakdown of trading styles on Hyperliquid — how many traders are scalping versus swing trading versus trend-following, and has that mix shifted recently?”
Asset-specific trader style segmentation
“Can you pull the trading style distribution for BTC-PERP traders on Hyperliquid? I want to see whether most of them are short-term scalpers or longer-term position traders.”
Market structure research for DeFi report
“I'm writing a research report on Hyperliquid — can you get me the trader style cohort breakdown so I can describe what kinds of strategies dominate the platform?”
Technical details
Endpoint
POSThttps://hyperliquid-data.v1337.org/v1/analytics/style-distributionWhen to prefer
Choose this endpoint when you need a quantitative breakdown of how Hyperliquid traders are behaviorally segmented by trading style, derived from first-party on-chain fill data rather than self-reported or third-party sources. Prefer this over generic DEX analytics tools when the question is specifically about Hyperliquid perp trader behavior at the cohort or distribution level.
Side effects
- Missing or malformed request body returns 400 with validation error
- Payment not settled via x402 on Base returns 402 Payment Required
- Unsupported filter combination returns 422 Unprocessable Entity
- Node fills ledger temporarily unavailable returns 503
- Rate limits or overload may return 429 Too Many Requests
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {}
}Tags
x402
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