Intelligence, native.

import requests

def get_adw_score(entity: str, token: str) -> dict:
    headers = {"Authorization": f"Bearer {token}"}
    resp = requests.get(
        "https://api.alpinedataworks.ai/v1/intelligence/ADW-002",
        params={"entity": entity},
        headers=headers
    )
    resp.raise_for_status()
    return resp.json()

# Usage in LangChain tool
from langchain.tools import tool

@tool
def get_macro_score(entity: str) -> str:
    """Get the latest macro score for a country."""
    data = get_adw_score(entity, "YOUR_TOKEN")
    return f"Score: {data['score']}, Trend: {data['trend']}"

import requests
from llama_index.core.tools import FunctionTool

def adw_get_iom(entity: str, token: str = "YOUR_TOKEN") -> dict:
    """Retrieve the ADW Intelligence Object Model for a given entity code (e.g. US, EU, JP)."""
    resp = requests.get(
        "https://api.alpinedataworks.ai/v1/intelligence/ADW-002",
        params={"entity": entity},
        headers={"Authorization": f"Bearer {token}"},
        timeout=10,
    )
    resp.raise_for_status()
    return resp.json()  # full IOM: score, trend, top_drivers, confidence, etc.

adw_tool = FunctionTool.from_defaults(fn=adw_get_iom)

# Pass to any LlamaIndex agent
from llama_index.core.agent import ReActAgent
from llama_index.llms.openai import OpenAI

agent = ReActAgent.from_tools([adw_tool], llm=OpenAI(model="gpt-4o"), verbose=True)
response = agent.chat("What is the macro outlook for the EU?")