Ticketmaster event
curl --request GET \
--url https://api.eventory.ai/eventory/data/ticketmaster/{tm_event_id} \
--header 'apikey: <api-key>'import requests
url = "https://api.eventory.ai/eventory/data/ticketmaster/{tm_event_id}"
headers = {"apikey": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {apikey: '<api-key>'}};
fetch('https://api.eventory.ai/eventory/data/ticketmaster/{tm_event_id}', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"ticketmaster_event": {
"scrapeRuns": [
{
"region": "US",
"created_date_time": "2026-06-12T05:00:00Z"
}
],
"sectionStats": [
{
"section_name": "101",
"seatmap_id": "manifest_section_0",
"capacity": 250,
"is_general_admission": false,
"created_date_time": "2026-06-12T05:00:00Z",
"currency": "USD",
"offers": [
{
"offer_type": "Standard:Admission_101",
"available_stock": "33",
"sold_amount": "217",
"average_price_total": 104.5,
"average_price_resale": 120,
"average_price_primary": 95,
"currency": "USD",
"created_date_time": "2026-06-12T05:00:00Z"
}
]
}
],
"offerStats": [],
"statisticsHistory": [
{
"tickets_sold": 200,
"tickets_sold_24h": 15,
"tickets_sold_24h_percentage": "8.11",
"available_tickets": 320,
"created_date_time": "2026-06-12T05:00:00Z",
"highest_price": 180,
"lowest_price": 45,
"average_ticket_price_available": 97,
"average_ticket_price_standard": 88,
"average_ticket_price_resell": 120,
"average_ticket_price_platinum": 150,
"capacity": 520,
"currency": "USD"
}
]
},
"latest_stats": {
"tickets_sold": 1000,
"available_tickets": 550,
"currency": "USD"
},
"dashboard_v2": {
"currency": "USD",
"current_values": {
"total_tickets_sold": 1000,
"tickets_sold_last_24h": 40,
"tickets_sold_last_24h_percentage": 4.1,
"available_tickets": 550,
"available_tickets_delta_percentage": -1.3,
"listing_available": 120,
"average_sales_price": 98,
"average_listing_price": 105,
"get_in_price": 48
},
"charts": {
"timestamps": [
"2026-06-11",
"2026-06-12"
],
"total_tickets_sold": [
960,
1000
],
"tickets_sold_last_24h": [
32,
40
],
"available_tickets": [
610,
550
],
"listing_available": [
150,
120
],
"average_listing_price": [
99,
105
],
"get_in_price": [
44,
48
]
}
}
}Market Data
Ticketmaster event inventory and prices
Returns Ticketmaster event data (scrape runs, per-section snapshot stats, statistics history), the latest aggregate stats, and the dashboard chart payload. The three blocks are fetched in parallel.
scrapeRuns and statisticsHistory are sorted newest first and trimmed
to limit. sectionStats has one row per section, from the most recent
scrape run only. offerStats is currently always empty.
The inner shapes are stable but additive: new keys may appear without notice.
Every price is a number in the venue’s local currency, as Ticketmaster lists
it. The currency on each row or object names it, and it is the same across
the whole response. Percentages are strings such as "5.25", except in
dashboard_v2, where they are numbers.
Cost: 1 credit.
GET
/
eventory
/
data
/
ticketmaster
/
{tm_event_id}
Ticketmaster event
curl --request GET \
--url https://api.eventory.ai/eventory/data/ticketmaster/{tm_event_id} \
--header 'apikey: <api-key>'import requests
url = "https://api.eventory.ai/eventory/data/ticketmaster/{tm_event_id}"
headers = {"apikey": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {apikey: '<api-key>'}};
fetch('https://api.eventory.ai/eventory/data/ticketmaster/{tm_event_id}', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"ticketmaster_event": {
"scrapeRuns": [
{
"region": "US",
"created_date_time": "2026-06-12T05:00:00Z"
}
],
"sectionStats": [
{
"section_name": "101",
"seatmap_id": "manifest_section_0",
"capacity": 250,
"is_general_admission": false,
"created_date_time": "2026-06-12T05:00:00Z",
"currency": "USD",
"offers": [
{
"offer_type": "Standard:Admission_101",
"available_stock": "33",
"sold_amount": "217",
"average_price_total": 104.5,
"average_price_resale": 120,
"average_price_primary": 95,
"currency": "USD",
"created_date_time": "2026-06-12T05:00:00Z"
}
]
}
],
"offerStats": [],
"statisticsHistory": [
{
"tickets_sold": 200,
"tickets_sold_24h": 15,
"tickets_sold_24h_percentage": "8.11",
"available_tickets": 320,
"created_date_time": "2026-06-12T05:00:00Z",
"highest_price": 180,
"lowest_price": 45,
"average_ticket_price_available": 97,
"average_ticket_price_standard": 88,
"average_ticket_price_resell": 120,
"average_ticket_price_platinum": 150,
"capacity": 520,
"currency": "USD"
}
]
},
"latest_stats": {
"tickets_sold": 1000,
"available_tickets": 550,
"currency": "USD"
},
"dashboard_v2": {
"currency": "USD",
"current_values": {
"total_tickets_sold": 1000,
"tickets_sold_last_24h": 40,
"tickets_sold_last_24h_percentage": 4.1,
"available_tickets": 550,
"available_tickets_delta_percentage": -1.3,
"listing_available": 120,
"average_sales_price": 98,
"average_listing_price": 105,
"get_in_price": 48
},
"charts": {
"timestamps": [
"2026-06-11",
"2026-06-12"
],
"total_tickets_sold": [
960,
1000
],
"tickets_sold_last_24h": [
32,
40
],
"available_tickets": [
610,
550
],
"listing_available": [
150,
120
],
"average_listing_price": [
99,
105
],
"get_in_price": [
44,
48
]
}
}
}Authorizations
Your Eventory API key. Sent as the apikey request header.
Path Parameters
Ticketmaster event id as it appears in the event URL.
Pattern:
^[A-Za-z0-9_-]{1,64}$Example:
"0200642CF18CAA24"
Query Parameters
Maximum entries in scrapeRuns, statisticsHistory, and the dashboard chart series.
Required range:
1 <= x <= 1000