Meridian Edge — Prediction Market Consensus SDK

Real-time consensus probabilities aggregated from multiple regulated prediction markets. One API, one number per event.

Install

pip install meridianedge

Quick Start

from meridianedge import MeridianEdge

me = MeridianEdge(api_key="YOUR_KEY")  # Free key at meridianedge.io

# Get consensus for all NBA events
events = me.consensus(sport="NBA")
for e in events:
    print(f"{e['event_name']}: {e['consensus_prob']:.1%}")

# Get divergence opportunities
opps = me.opportunities(min_score=5)

# Get recent market signals
signals = me.signals()

Free API Key

Get one instantly at meridianedge.io — no credit card required.

• Free: 100 calls/day
• Starter ($29/mo): 500 calls/day + opportunities + signals
• Pro ($99/mo): 5,000 calls/day + fair value + platform breakdown
• Full pricing

Endpoints

Examples

NBA win probabilities

from meridianedge import MeridianEdge

me = MeridianEdge(api_key="me_free_demo000000000000")

nba = me.consensus(sport="NBA", limit=5)
for game in nba:
    prob = game["consensus_prob"]
    name = game["event_key"]
    move = game.get("movement", "stable")
    print(f"{name}: {prob:.1%}  ({move})")

Find high-divergence markets

# Markets where platforms disagree most
opps = me.opportunities(min_score=5, limit=10)
for o in opps:
    print(f"{o['event_key']}: score={o.get('score')}, spread={o.get('spread'):.1%}")

Embed widget data (no auth)

me = MeridianEdge()  # no key needed for embed
data = me.embed(sport="NHL", limit=3)
for item in data:
    print(f"{item['event_key']}: {item['consensus_prob']:.1%}")

Response Format

Every consensus() response item includes:

Links

• Dashboard — free, no signup
• API Docs
• Widget — embeddable, free

Data Coverage

• Sports: NBA, NFL, MLB, NHL, MLS, college sports, boxing
• Politics: US elections, ballot measures, appointment markets
• Economics: Federal Reserve rate decisions, macro indicator markets
• Update frequency: Every 10 minutes during active market hours

For informational purposes only. Not investment advice.

License

MIT