Listings & prices
How supply and price moved for every event over time.
- active_listings
- get_in_price
- median_price
- section
- captured_at
- 1
Market coverage
Primary & secondary markets
Normalized pricing, inventory, listings, and sales data across leading ticket marketplaces.
- 2
One API
One connection to the ticket market
Access live, historical, and on-demand data through a consistent schema built for scale.
- 3
Build with the data
Power your own analytics
Use Ticketmetric data for dashboards, pricing tools, forecasting, alerts, market analysis, and internal workflows.
- 4
Your product
Bring ticketing intelligence into your product
Build Ticketmetric data directly into the tools, models, and experiences your business already uses.
Datasets your models can learn from
Every dataset comes live and as point-in-time history. Field names below are examples.
- secondary events
- 570K+
- primary events
- 160K+
- artists tracked
- 210K+
Sold transactions
What actually sold, where and for how much. The outcome to learn from.
- section
- row
- quantity
- price
- sold_at
Primary inventory
Availability and pricing from on-sale to sell-out on primary platforms.
- available_seats
- price_levels
- sell_through
- on_sale_at
Artist audience
Audience size, location and growth across streaming and social platforms.
- spotify_followers
- youtube_views
- top_cities
- growth_30d
What teams build with it
Bring your own models. The data gives them the signal the live event market runs on.
Forecast price movement
Train on past run-ups to estimate where get-in prices head next.
Spot listing surges
Flag when supply jumps or dries up before the market reacts.
Score upcoming demand
Blend sell-through with audience growth to rank on-sales early.
Bring your own models
Access is available on request. Tell us what you are building and we will set you up with the right data.