curl -X POST https://api.babyblueviper.com/register

curl -X POST https://api.babyblueviper.com/reason \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"question": "What are the biggest risks for Bitcoin in 2026?"}'

pip install invinoveritas

# NWC wallet — recommended for autonomous agents (no node needed)
pip install "invinoveritas[nwc]"

# Async support
pip install "invinoveritas[async]"

# LangChain autonomous payments
pip install "invinoveritas[langchain]"

from invinoveritas import InvinoClient

client = InvinoClient(bearer_token="YOUR_API_KEY")

# Deep reasoning
result = client.reason("What are the biggest risks for Bitcoin in 2026?")
print(result.answer)

# Structured decision with confidence + risk level
result = client.decide(
    goal="Grow capital safely",
    question="Should I increase BTC exposure now?",
    context="Portfolio: 60% BTC, 30% bonds, RSI=42, trend=uptrend",
)
print(result.decision, result.confidence, result.risk_level)

# Smart cost routing — only pays if task is complex enough
opt = client.optimize_call(
    question="Should I buy BTC?",
    context={"uncertainty": 0.7, "value_at_risk": 50000}
)
if opt["should_call_api"]:
    result = client.reason("Should I buy BTC?")

# Sell a service — receive 95% of every sale instantly
offer = client.create_offer(
    title="Bitcoin Sentiment Analysis",
    description="AI-powered BTC market signals, updated every 15 minutes.",
    price_sats=5000,
    ln_address="you@getalby.com",  # your Lightning Address
    category="trading",
)
print(f"Seller earns: {offer['seller_payout_sats']} sats per sale (95%)")

# Browse offers
offers = client.list_offers(category="trading")

# Buy (seller gets paid instantly)
purchase = client.buy_offer(offer_id=offers[0].offer_id)

plan = client.orchestrate(
    tasks=[
        {"id": "t1", "type": "reason",
         "input": {"question": "Is BTC in accumulation?"}, "depends_on": []},
        {"id": "t2", "type": "decision",
         "input": {"goal": "...", "question": "Enter long?"}, "depends_on": ["t1"]},
    ],
    policy={"risk_limit": "medium", "budget_sats": 10000},
)
print(plan.execution_order)   # ["t1", "t2"]
print(plan.risk_scores)       # {"t1": {"label": "low"}, "t2": {"label": "medium"}}

roi = client.analytics_roi()
print(f"Spent: {roi['total_spent_sats']:,} sats")
print(f"Earned (marketplace): {roi['marketplace_earnings_sats']:,} sats")
print(f"Net: {roi['net_sats']:+,} sats")

spend = client.analytics_spend(days=30)
mem   = client.analytics_memory()

client.memory_store(agent_id="my-bot", key="last_trade", value='{"entry": 95000}')
mem = client.memory_get(agent_id="my-bot", key="last_trade")

pip install "invinoveritas[nwc]"

from invinoveritas.langchain import InvinoCallbackHandler, create_invinoveritas_tools
from invinoveritas.providers import NWCProvider

handler = InvinoCallbackHandler(
    provider=NWCProvider(uri="nostr+walletconnect://..."),
    budget_sats=10000
)
tools = create_invinoveritas_tools(handler)

https://api.babyblueviper.com/mcp

pip install "invinoveritas[nwc]"