Bloomberg Api Hardened

import requests
import pandas as pd
BASE = "https://data.financialresearch.gov/hf/v1"
List all available datasets
resp = requests.get(f"{BASE}/series/dataset")
datasets = resp.json()
Returns: {"ficc": {...}, "fpf": {...}, "scoos": {...}, "tff": {...}}
Search for series by keyword
resp = requests.get(f"{BASE}/metadata/search", params={"query": "*leverage*"})
results = resp.json()
Each result: {mnemonic, dataset, field, value, type}
Fetch a single time series
resp = requests.get(f"{BASE}/series/timeseries", params={
    "mnemonic": "FPF-ALLQHF_LEVERAGERATIO_GAVWMEAN",
    "start_date": "2015-01-01"
})
series = resp.json()  # [[date, value], ...]
df = pd.DataFrame(series, columns=["date", "value"])
df["date"] = pd.to_datetime(df["date"])