Vollständiges öffentliches Dashboard für alle 7 Länder. Best-Effort-Daten, kein Konto erforderlich.

Authentifizierte API-Integration für Analysten, Berater und unabhängige Forschende. Gründerpreis für frühe Abonnenten.

curl -s "https://gas-risiko.de/api/data?country=DE" \
  -H "Accept: application/json" | jq '.latest,.predictions[:2]'

ETAG=$(curl -sI "https://gas-risiko.de/api/data?country=DE" | grep -i etag | awk '{print $2}' | tr -d '\r')
curl -sv "https://gas-risiko.de/api/data?country=DE" -H "If-None-Match: $ETAG"

curl -i "https://gas-risiko.de/api/v1/data?country=DE" \
  -H "Accept: application/json" \
  -H "Api-Key: $GAS_RISIKO_API_KEY"

curl -s "https://gas-risiko.de/api/scenarios?country=DE" \
  -H "Accept: application/json" \
  | jq '.scenarios[] | {id:.scenario_id,category,delta:.delta_winter_min_pp}'

import requests, json

BASE = "https://gas-risiko.de"
etag = None

def fetch_if_changed(country: str = "DE") -> dict | None:
    global etag
    headers = {"If-None-Match": etag} if etag else {}
    r = requests.get(f"{BASE}/api/data", params={"country": country}, headers=headers)
    if r.status_code == 304:
        return None  # data unchanged
    r.raise_for_status()
    etag = r.headers.get("ETag")
    return r.json()

data = fetch_if_changed("DE")
if data:
    latest = data["latest"]
    print(f"Fill: {latest['fill_level_pct']:.1f}%  "
          f"P50 d+1: {data['predictions'][0]['P50']:.1f}%")

import requests

COUNTRIES = ["DE", "NL", "FR", "IT", "AT", "CZ", "PL"]
BASE = "https://gas-risiko.de"

risks = {}
for c in COUNTRIES:
    r = requests.get(f"{BASE}/api/annual", params={"country": c})
    r.raise_for_status()
    d = r.json()
    risks[c] = {
        "winter_min_p50": d["baseline"]["winter_minimum"]["p50"],
        "p_breach_15pct":  d["baseline"]["p_breach_15pct_any_winter"],
        "ood_bounds": d.get("ood_bounds", {}),
    }

for c, v in sorted(risks.items(), key=lambda x: x[1]["p_breach_15pct"], reverse=True):
    print(f"{c}  winter-min P50={v['winter_min_p50']:.1f}%  "
          f"P(breach 15%)={v['p_breach_15pct']:.0%}")