Crypto protocol economics

import os
import requests
from collections import defaultdict

BASE = "https://data-svc.artemisxyz.com/v2/data"
KEY = os.environ["ARTEMIS_API_KEY"]
SYMBOLS = "hype,uni,aave,jup,morpho,ray"


def fetch(metrics, **extra):
    resp = requests.get(
        f"{BASE}/{metrics}",
        params={"symbols": SYMBOLS, "APIKey": KEY, **extra},
        timeout=120,
    )
    resp.raise_for_status()
    return resp.json()["series"]


ltm = defaultdict(dict)

# FEES and REVENUE are SUM metrics, so QUARTER buckets are true totals
for s in fetch("FEES,REVENUE", startDate="2025-07-01", endDate="2026-06-30", granularity="QUARTER"):
    if not isinstance(s["data"], list):
        continue
    ltm[s["display_name"]][s["metric"]] = sum(v for _, v in s["data"] if v is not None)

for s in fetch("MC", startDate="2026-08-06", endDate="2026-08-06"):
    if not isinstance(s["data"], list):
        continue
    values = [v for _, v in s["data"] if v is not None]
    if values:
        ltm[s["display_name"]]["MC"] = values[-1]

for name, m in sorted(ltm.items(), key=lambda kv: -kv[1].get("FEES", 0)):
    fees, revenue, mc = m.get("FEES", 0), m.get("REVENUE", 0), m.get("MC")
    print(
        f"{name:12} fees ${fees/1e6:7,.1f}M  revenue ${revenue/1e6:7,.1f}M  "
        f"capture {100*revenue/fees:5.1f}%  {mc/fees:5.1f}x fees  "
        f"{f'{mc/revenue:.1f}x revenue' if revenue else 'no revenue'}"
    )

curl -s "https://data-svc.artemisxyz.com/v2/data/FEES,REVENUE?symbols=hype,uni&startDate=2025-07-01&endDate=2026-06-30&granularity=QUARTER&APIKey=$ARTEMIS_API_KEY"

curl -s "https://data-svc.artemisxyz.com/v2/data/FEES,DAU?symbols=hype,uni,aave&startDate=2026-07-01&endDate=2026-07-31&granularity=MONTH&APIKey=$ARTEMIS_API_KEY"