Hyperliquid HIP-4 Outcome Markets Scraper

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Scrape every live prediction market on Hyperliquid HIP-4 in one run — market names, full resolution criteria, live order-book prices, implied probabilities, spreads, and depth — as clean structured JSON. No wallet, no node, no SDK, no RPC key required.

🆓 Currently free to run. You only pay Apify's platform compute (a few cents per run).

What is HIP-4?

HIP-4 is Hyperliquid's native prediction-market venue (live on mainnet since May 2026): fully-collateralized binary markets — Fed rate decisions, sports champions, World Cup winners, macro events — with a merged Yes/No order book and zero open fees. This actor turns the whole venue into a structured dataset you can analyze, monitor, or feed to an app or AI agent.

What you get — one row per market

Why use it

• Cross-venue comparison — line HIP-4 probabilities up against Polymarket / Kalshi for the same event and spot divergences.
• Dashboards & alerts — track a fast-growing prediction venue's pricing as it matures.
• Price-history datasets — schedule it (e.g. every 15 min) to build a longitudinal archive from the venue's earliest months.
• AI agents — feed live event probabilities (Fed, sports, macro, geopolitics) into LLM pipelines as ready-to-use JSON.
• Trading research — implied probabilities, spreads and depth in one pull, no infra to maintain.

Input

{
"includeBooks":true,
"nameFilter":"fed",
"maxMarkets":200
}

Output sample

{
"scrapedAt":"2026-06-13T06:50:00.000Z",
"outcomeId":104,
"name":"June Fed rate change",
"sides":["Change","No Change"],
"bestBid":0.00941,
"bestAsk":0.01619,
"impliedProbability":0.0128,
"spread":0.0068,
"topBidDepthUsd":14.0,
"quoteToken":"USDC"
}

How it works

The actor reads Hyperliquid's public info API (outcomeMeta for the market catalog, l2Book per market for live pricing — HIP-4 coins use the #<10·outcome+side> convention). It is fully read-only, rate-limited politely, and touches no account, position, or key.

Tips

• Run on a schedule (Apify Scheduler) to build a price-history dataset — prediction markets move on news, and early-venue data is scarce.
• Use nameFilter to track a single event family (all Fed markets, all World Cup markets) cheaply.
• The merged-book model means a buy of Yes at p equals a sell of No at 1 − p — impliedProbability already reflects this.

Built by hyperdata-labs — structured data tools for the Hyperliquid ecosystem.