Build with 30,000+ assets.

curl -H "X-API-Key: YOUR_API_KEY" \
  "https://assetmarketcap.com/API/daily"

import requests

r = requests.get(
    "https://assetmarketcap.com/API/daily",
    headers={"X-API-Key": "YOUR_API_KEY"},
    timeout=15,
)
r.raise_for_status()
data = r.json()

# Top 5 by market cap
for row in data["data"][:5]:
    print(row["Rank"], row["Name"], row["MarketCap"])

const resp = await fetch("https://assetmarketcap.com/API/daily", {
  headers: { "X-API-Key": "YOUR_API_KEY" },
});
if (!resp.ok) throw new Error("HTTP " + resp.status);
const data = await resp.json();
console.log(data.data.slice(0, 5));

{
  "metadata": {
    "asOf": "2026-05-28T14:30:00Z",
    "goldUsdPerOz": 4695.6,
    "silverUsdPerOz": 88.38,
    "btcUsd": 79426.0,
    "marketCapTotal": 1156015937021427.0,
    "totalAssets": 100
  },
  "data": [
    {
      "Rank": 1, "Ticker": "real-estate", "Name": "Real Estate",
      "AssetType": "Commodity", "MarketCap": 634900000000000.0,
      "Price": 302353.57, "24HrChange": null,
      "CirculatingSupply": 2099859454.0
    },
    ...
  ]
}

curl -H "X-API-Key: YOUR_API_KEY" \
  "https://assetmarketcap.com/API/tickers"

import requests

r = requests.get(
    "https://assetmarketcap.com/API/tickers",
    headers={"X-API-Key": "YOUR_API_KEY"},
)
r.raise_for_status()
tickers = r.json()["tickers"]
print(len(tickers), "tickers available")

{
  "count": 38873,
  "tickers": ["AAPL", "MSFT", "GOOG", "BTC-USD", ...]
}

# --compressed lets curl negotiate gzip
curl --compressed -H "X-API-Key: YOUR_API_KEY" \
  "https://assetmarketcap.com/API/pro/daily" | jq '.data | length'

import requests, pandas as pd

r = requests.get(
    "https://assetmarketcap.com/API/pro/daily",
    headers={"X-API-Key": "YOUR_API_KEY"},
    timeout=60,
)
df = pd.DataFrame(r.json()["data"])
# Top 10 by market cap
print(df.nlargest(10, "MarketCap")[["Rank", "Name", "MarketCap"]])

curl -H "X-API-Key: YOUR_API_KEY" \
  "https://assetmarketcap.com/API/assets/AAPL"

import requests, pandas as pd

ticker = "AAPL"
r = requests.get(
    f"https://assetmarketcap.com/API/assets/{ticker}",
    headers={"X-API-Key": "YOUR_API_KEY"},
)
asset = r.json()
prices = pd.DataFrame(asset["Prices"])
prices["Date"] = pd.to_datetime(prices["Date"])
print(prices.tail())

{
  "Ticker": "AAPL",
  "Name": "Apple Inc.",
  "AssetType": "Company",
  "Fundamentals": {
    "MarketCap": 3992100000000,
    "SharesOutstanding": 14776353000,
    "Sector": "Technology",
    "Country": "United States"
  },
  "Prices": [
    {"Date": "2000-01-03", "Open": 0.999, "High": 1.005, "Low": 0.908, "Close": 0.999, "Volume": 535796800},
    ...
  ]
}