TicketsData
Real-time ticket prices, listings and fees from 10 primary and resale marketplaces, in one API, with Market Intelligence, Event Radar and an MCP server for AI assistants.
A startup from the United Kingdom.
Real-time ticket prices, listings and fees from 10 primary and resale marketplaces, in one API, with Market Intelligence, Event Radar and an MCP server for AI assistants.
A startup from the United Kingdom.
This page is designed to help you find out whether TicketsData is good and if it is the right choice for you.
TicketsData is a real-time API for the live events market. Send an event link from any of 10 primary and resale marketplaces and get every listing back in clean, normalized JSON: section, row, quantity, price before fees, fees and the all-in price. Same shape on every marketplace, fetched live on every request, no cache.
Brokers, developers and analytics teams use it instead of building and maintaining their own scrapers.
Ticket brokers pricing inventory, developers building ticketing and event apps, and analysts tracking demand across the live events market.
Free trial with API credits and Market Intelligence reports. Paid plans from $499/month, and dedicated infrastructure for high-volume teams.
📺 Full dashboard tour: https://youtu.be/Y3brxULUKI4 📈 Weekly ticket market report: https://www.youtube.com/@ticketsdata
Listed in
Unified Ticketing API
Live listings, prices and fees from 10 primary and resale marketplaces in one normalized JSON format.
Real-Time, No Cache
Every request fetches live data. Most events return in about 1–2 seconds, even with thousands of listings.
All-In Pricing
Section, row, quantity, price before fees, fees and all-in price for every listing.
Market Intelligence
One event link, matched across every marketplace, with floors, fees and section-level spreads side by side.
Event Radar
New events, presales and on-sales as they appear, with sales pace and sell-out signals.
Monitoring & Alerts
Watch events and get notified by email, Discord or webhook when prices or availability change.
MCP Server for AI
Connect Claude, Cursor or VS Code and ask about any event in plain English, answered with live data.
Developer-Ready
REST API, Python and Node.js SDKs, clear docs and a Live API Tester. Free trial, no credit card.
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Ticket brokers and resellers pricing their inventory, developers building ticketing, event and travel apps, and analytics teams tracking demand and pricing across the live events market. Increasingly also teams connecting AI agents to live ticket data through MCP.
One API for the whole live events market. Send an event link from any of 10 primary and resale marketplaces and get every listing back in the same clean JSON, fetched live on every request with no cache. On top of the raw data, TicketsData matches the same event across marketplaces (Market Intelligence), detects new events and on-sales as they appear (Event Radar), and lets AI assistants query it directly through an MCP server.
Real-time data instead of cached snapshots, one normalized format across every marketplace, and all-in prices with fees broken out. You get cross-market comparison, sell-out signals and alerts in the same product, a dashboard to test everything before writing code, and dedicated infrastructure when you need high volume. No scrapers to build or maintain.
TicketsData is led by its founder, who spent a decade building dynamic pricing and demand forecasting systems in the travel industry, together with a team of experienced data engineers and live-events specialists. It started as an internal tool for monitoring live ticket prices across marketplaces, and as developers and brokers asked for access, it grew into a public API. Today it serves brokers, developers and analytics teams across the US and Canada, and publishes a weekly ticket market report on YouTube.
A proprietary real-time data engine developed in-house by TicketsData™, built for low latency and high concurrency. It is delivered through a REST API, an MCP server for AI assistants and a web dashboard.
We have collected here some useful links to help you find out if TicketsData is good.
Check the traffic stats of TicketsData on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of TicketsData on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of TicketsData's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of TicketsData on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about TicketsData on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is TicketsData good? This is an informative page that will help you find out. Moreover, you can review and discuss TicketsData here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
Founder here. Real-time aggregation across 10 ticket marketplaces, delivered through one API with a single normalized schema. Live pricing and inventory for brokers, pricing tools and analytics platforms.