Meridian Edge + LangChain

from langchain.tools import Tool
import requests

API_KEY = "me_live_YOUR_KEY"
HEADERS = {"X-API-Key": API_KEY}

def get_consensus(query: str) -> str:
    """Get prediction market consensus for a sport or event."""
    sport = "NBA"  # parse from query in production
    r = requests.get(
        "https://meridianedge.io/api/v1/consensus",
        headers=HEADERS,
        params={"sport": sport, "limit": 5}
    )
    events = r.json().get("events", [])
    return "\n".join(
        f"{e['title']}: {e['consensus_prob']:.0%}"
        for e in events[:5]
    )

consensus_tool = Tool(
    name="PredictionMarketConsensus",
    func=get_consensus,
    description="Get real-time prediction market consensus probabilities for sports events."
)

# Add to your agent
from langchain.agents import initialize_agent
# agent = initialize_agent([consensus_tool], llm, ...)