Secondary ticket market data API

Measure demand for tours, teams and venues. Captures give inventory (listing and ticket counts), price levels (min, median, max, average) and section depth in one schema, whichever marketplace the data comes from.

Demand signals live in the resale market: how many tickets are listed, how fast prices move, how far above face value seats trade. Collecting that across marketplaces consistently is most of the work.

Normalized summaries make events, cities and marketplaces directly comparable.

How it works

1. Pick your universe: Search a tour, team or venue to collect every upcoming date and its IDs.

2. Snapshot the market: Capture each event and keep summary fields — listingCount, ticketCount, minPrice, medianPrice, maxPrice — per marketplace.

3. Compare and trend: Compare cities on a tour, or the same event across marketplaces with a match, and repeat over time to see demand build up to the date.

Questions

Do you sell historical datasets?

No. The API returns the market now; you build history by capturing on a schedule.

Which plan do I need?

Estimate events × captures per event per month. For example, 100 events captured daily is about 3,000 requests a month.