pip install abel-cap

import abel

client = abel.Client(api_key="sk-your-key-here")

# Predict BTC price using causal Markov blanket
prediction = client.predict("BTCUSD_close", horizon=48)
print(prediction)
# → { value: 63420, ci_lower: 61800, ci_upper: 65100,
#     mb_variables: ["ETHUSD_close", "DXY", "SP500", ...] }

# What's causally driving BTC?
drivers = client.explain("BTCUSD_close", depth=2, cross_domain=True)
print(drivers)
# → { parents: [
#       { name: "ETHUSD_close", influence: "STRONG_POSITIVE", lag: "SHORT_TERM" },
#       { name: "DXY", influence: "MODERATE_NEGATIVE", lag: "SHORT_TERM",
#         cross_domain: true }
#     ],
#     cross_domain_chains: [
#       "Fed_Funds_Rate →[τ=5h]→ DXY →[τ=2h]→ BTCUSD_close"
#     ] }

# What happens if the Fed raises rates 50bp?
effect = client.intervene(
    treatment="Fed_Funds_Rate",
    outcome="BTCUSD_close",
    treatment_value=0.5
)
print(effect)
# → { effect: -4.2%, ci: [-2.1%, -6.8%],
#     causal_chain: "Fed →[τ=5h]→ DXY →[τ=2h]→ BTC",
#     method: "do-calculus via PCMCI graph" }