Query event counts for your Organization. Select a field, define a date range, and group or filter by columns.
groupBy=project&groupBy=outcome
to group by multiple dimensions. Note that grouping by project can cause missing rows if the number of projects / interval is large. If you have a large number of projects, we recommend filtering and querying by them individually.Also note that grouping by projects does not currently support timeseries interval responses and will instead be a sum of the projectover the entire period specified.the sum(quantity)
field is bytes for attachments, and all others the 'event' count for those types of events.
sum(times_seen)
sums the number of times an event has been seen. For 'normal' event types, this will be equal to sum(quantity)
for now. For sessions, quantity will sum the total number of events seen in a session, while times_seen
will be the unique number of sessions. and for attachments, times_seen
will be the total number of attachments, while quantity will be the total sum of attachment bytes.
sum(quantity)
- sum(quantity)sum(times_seen)
- sum(times_seen)<number><unit>
format. For example 1d
for a one day range. Possible units are m
for minutes, h
for hours, d
for days and w
for weeks.You must either provide a statsPeriod
, or a start
and end
.statsPeriod
. The default resolution is 1h
and the minimum resolution is currently restricted to 1h
as well. Intervals larger than 1d
are not supported, and the interval has to cleanly divide one day.end
instead of statsPeriod
.start
instead of statsPeriod
.The ID of the projects to filter by.
Use -1
to include all accessible projects.
If filtering by attachments, you cannot filter by any other category due to quantity values becoming nonsensical (combining bytes and event counts).
If filtering by error
, it will automatically add default
and security
as we currently roll those two categories into error
for displaying.
error
- errortransaction
- transactionattachment
- attachmentreplay
- replayprofile
- profilemonitor
- monitorSee https://docs.sentry.io/product/stats/ for more information on outcome statuses.
accepted
- acceptedfiltered
- filteredrate_limited
- rate_limitedinvalid
- invalidabuse
- abuseclient_discard
- client_discardcardinality_limited
- cardinality_limitedSpecify how the response should be mapped to the table output. The following formats are available:
Structured Table: Returns a parsed table with data split into rows and columns.
Raw Response: Returns the raw response in a single row with the following columns:
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