meridianedge 0.1.0

Prediction market consensus data from multiple regulated markets

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

Method	Description
consensus()	Aggregated consensus probabilities with spread + movement
opportunities()	Divergence opportunities ranked by score
signals()	Recent market signals with direction
markets()	Active markets list
settlements()	Settlement history with verified outcomes
embed()	Lightweight widget data (no auth required)

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:

Field	Type	Description
event_key	string	Unique event identifier
event_name	string	Human-readable name
sport	string	Sport or category
consensus_prob	float	Aggregated probability (0.0–1.0)
confidence	string	LOW / MEDIUM / HIGH
spread	float	Spread between highest and lowest market
movement	string	up, down, or stable vs 30 min ago
movement_pct	float	% change over last 30 minutes
sparkline	array	6 recent values for trend visualization
ts	string	ISO 8601 timestamp

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