The ECB Statistical Data Warehouse provides access to a wide range of statistical data and reports on monetary and financial developments in the euro area.
The ECB SDW provides a REST API following the SDMX standard. Engineers use the `sdmx` Python library or `requests` to query series keys and data flows. Exchange rate and interest rate time-series are loaded into pandas for financial modeling and econometric analysis.
ECB monetary data enables AI tools for European financial analysis. RAG systems indexed on ECB statistical releases help LLMs answer 'What is the current ECB deposit facility rate?' with official data. Macroeconomic AI models use ECB time-series as features for European inflation and growth forecasting.
# pip install requests pandas
import requests, pandas as pd
# EUR/USD daily exchange rate
resp = requests.get(
"https://data-api.ecb.europa.eu/service/data/EXR/D.USD.EUR.SP00.A",
params={"format": "csvdata", "startPeriod": "2024-01-01"}
)
from io import StringIO
df = pd.read_csv(StringIO(resp.text))
print(df[["TIME_PERIOD", "OBS_VALUE"]].tail(10))Official dataset source
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Zillow Research offers datasets and reports on real estate market trends, home values, rental prices, housing affordability and mortgage rates in the United States.