Free Hyperliquid market data: a JSON file for every asset

Is there free Hyperliquid market data you can use without an API key? Yes. Senpi publishes a JSON file for every Hyperliquid perpetual it covers, 301 on Nov 13, 2026 (179 crypto perps and 122 XYZ markets: stocks, indices, commodities, currencies and pre-IPO names), plus one file that lists them all. Each file carries the market numbers, the Senpi Signals score, Senpi’s written read and what the top traders hold. The files refresh every few minutes and need no key or sign-up.

The two endpoints

In assets.json, each entry carries assetClass (crypto, stock, commodity, index, fx or pre_ipo; on Nov 13, 2026: 179 crypto, 103 stock, 9 commodity, 5 index, 3 fx, 2 pre_ipo) and listingState (listed, or pre_ipo for names such as xyz:ANT that trade before their IPO). Every page on senpi.ai/assets has the same data behind it.

Field reference

market

signals

positioning (asset files only)

read and questions (asset files only)

How fresh the data is

Every file has an asOf time: the snapshot it was built from. Snapshots are taken every few minutes, and a file can be served from cache for a few minutes more, so read asOf rather than assuming the numbers are live; polling more often than once a minute gains nothing. The written read changes less often and has its own read.asOf. The files hold the current snapshot only; for history, use Hyperliquid’s own info API (candles and funding history), as shown in how to read Hyperliquid market data.

Examples

From the command line, the market block for Bitcoin:

curl -s https://senpi.ai/assets/BTC/data.json | jq '.market'

In Python, with the standard library only: the ten markets with the most extreme funding right now, with open interest and Senpi’s stance.

import json, urllib.request

def get(url):
    req = urllib.request.Request(url, headers={"User-Agent": "my-script"})
    return json.load(urllib.request.urlopen(req, timeout=10))

d = get("https://senpi.ai/assets.json")
print("as of", d["asOf"])
top = sorted(d["assets"], key=lambda a: abs(a["market"]["fundingApr"]), reverse=True)[:10]
for a in top:
    m = a["market"]
    print(f'{a["symbol"]:<14} funding {m["fundingApr"]:+8.1%} a year   OI ${m["openInterest"] / 1e6:8,.1f}M   {a["signals"]["stance"]}')

And the five largest top-trader positions in Anthropic’s pre-IPO perpetual, with how far each is from liquidation:

import json, urllib.request

req = urllib.request.Request("https://senpi.ai/assets/xyz:ANT/data.json", headers={"User-Agent": "my-script"})
d = json.load(urllib.request.urlopen(req, timeout=10))
p = d["positioning"]
print(d["name"], d["market"]["mark"], "| top traders long", f'${p["long"]:,.0f}', "short", f'${p["short"]:,.0f}')
for pos in p["largest"]:
    print(f'  {pos["side"]:<5} ${pos["notionalUsd"]:>12,.0f}  entry {pos["entryPx"]:<10} {pos["leverage"]}x  liquidation {pos["liqDistancePct"]}% away')

Get it as CSV

The files are JSON. This script writes every asset to a CSV with one row per market and the snapshot time in the first column, ready for a spreadsheet:

import csv, json, urllib.request

req = urllib.request.Request("https://senpi.ai/assets.json", headers={"User-Agent": "my-script"})
d = json.load(urllib.request.urlopen(req, timeout=10))
cols = ["symbol", "name", "assetClass", "listingState", "mark", "change24h", "volume24h",
        "openInterest", "fundingApr", "maxLeverage", "score", "stance", "url"]
with open("senpi-assets.csv", "w", newline="") as f:
    w = csv.writer(f)
    w.writerow(["asOf"] + cols)
    for a in d["assets"]:
        row = {**a, **a["market"], "score": a["signals"]["score"], "stance": a["signals"]["stance"]}
        w.writerow([d["asOf"]] + [row[c] for c in cols])
print("wrote", len(d["assets"]), "rows to senpi-assets.csv")

Using the data

Use it in your own tools, dashboards, research and articles, with the credit line below. Wallet addresses are shortened in the files. The data describes the market; it is not investment advice. The files send no CORS headers, so read them from a script or a server; a web page on another site can’t fetch them directly.

<p>Source: <a href="https://senpi.ai/assets/BTC">Senpi analysis of Hyperliquid market data</a></p>

Frequently asked questions