Ticket Arbitrage API
Programmatic access to cross-market price discrepancies. We map, normalize, and stream secondary ticket data across 7+ exchanges so you can automate market making.
curl -X GET "https://ticketsdata.com/match"{
"status": 200,
"data": {
"cluster_id": "losangelesdodgers",
"match_quality": {
"marketplace_count": 7,
"max_spread": 64252.74,
"total_listings": 4291
},
"best_opps": [
{
"section": "Field Box 12",
"buy_market": "marketplace_a",
"sell_market": "marketplace_b",
"net_spread": 245.50
}
]
}
}Pro Tip for Developers: Did you know you can use our /match API endpoint to instantly cross-map any StubHub or Ticketmaster URL to 7+ other secondary exchanges without guessing performer names?
Cherry-Picked Arbitrage Targets
Our engine processes millions of rows of ticketing data every day. We actively cherry-pick the performers and sporting events below because they currently exhibit the highest, most consistent spread opportunities across secondary markets.
Houston Astros at Boston Red Sox
Philadelphia Phillies at Miami Marlins
Luke Combs
George Strait
San Francisco Giants at Tampa Bay Rays
Bruno Mars
Texas Rangers at Detroit Tigers
Bruce Springsteen and The E Street Band
Zach Bryan
Morgan Wallen
BTS
Baltimore Orioles at New York Yankees
Houston Astros at Boston Red Sox
Philadelphia Phillies at Miami Marlins
San Francisco Giants at Tampa Bay Rays
Phoenix Suns at Oklahoma City Thunder: Western Conference First Round (Home Game 4, Series Game 7, If Necessary)
Houston Rockets at Los Angeles Lakers: Western Conference First Round (Home Game 4, Series Game 7, If Necessary)
Bruno Mars
Texas Rangers at Detroit Tigers
BTS
Utah Mammoth at Vegas Golden Knights: Western Conference First Round (Home Game 4, Series Game 7, If Necessary)
Vegas Golden Knights at Anaheim Ducks: Western Conference Second Round (Home Game 1, Series Game 3)
Philadelphia Phillies at Miami Marlins
Boston Red Sox at Detroit Tigers
The Infrastructure for Ticket Arbitrage
Our API handles the complex ingestion, mapping, and calculation pipelines so you can focus on building your data-driven strategies.
Normalized Data Catalog
"New York Yankees", "NY Yankees", and "Yankees" are automatically clustered into a single `cluster_id`. We map sections and rows uniformly across 7+ exchanges.
Real-Time Spread Intelligence
Our engine continuously calculates the net price differences (including estimated fees) for identical sections/rows between major secondary platforms.
RESTful API & Webhooks
Consume our data via standard REST endpoints or subscribe to webhooks to get pushed alerts instantly when a spread crosses your defined threshold.
Power Your Business with Real-Time Ticket Data
Integrate our high-performance API to get instant access to cross-market pricing, normalized catalogs, and live arbitrage opportunities.