Query usage data from Image Processor

Query the Consumption dataset from the GraphiQL Playground for the count of images Image Processor transformed.

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Query the total number of images processed by Image Processor from the GraphiQL Playground, using the workloadConsumptionMetrics dataset.

Azion retains this data for up to 24 months, and you can export the results to a third-party platform for further analysis.

Prerequisites

  • An Azion account, signed in. The consumption endpoint returns an error to an unauthenticated request.

Query the total images processed

To retrieve the count for a specific time range:

Open the GraphiQL Playground

Access https://api.azion.com/v4/consumption/graphql.

Send the query

Send a query in this format:

GraphQL
01query {
02 workloadConsumptionMetrics(
03 filter: {
04 tsRange: {
05 begin: "2025-02-01T00:00:00",
06 end: "2025-03-01T00:00:00",
07 }
08 productId: 1441110021
09 metricName: "images_processed"
10 }
11 aggregate: {
12 sum: accounted
13 }
14 limit: 10000
15 groupBy: [clientId, workloadId, productId, metricName]
16 ) {
17 clientId
18 workloadId
19 productId
20 metricName
21 total: sum
22 }
23}

Where:

FieldDescription
filterDefines the criteria used to filter the data returned by the query.
tsRangeA subfield of filter. Specifies a time range for filtering data. It includes begin and end fields to define the start and end timestamps. Format: "YYYY-MM-DDTHH:mm:ss"; example: "2024-04-11T00:00:00".
sum: accountedAs a subfield of aggregate, calculates the total accounted usage for events matching the query’s filters and groups.
limitSpecifies the maximum number of results to return. System maximum: 10000.
groupBySpecifies the fields by which the query results should be grouped. Example: [clientId, metricName].
productIdUnique identifier of the product being used. In this case, 1441110021 for Image Processor.
metricNameName of the calculated metric for analytics. In this case, images_processed.

This query sums the images Image Processor processed and groups the total by clientId and workloadId. For more information, refer to Consumption GraphQL API Fields.

Review the response
JSON
01{
02 "data": {
03 "workloadConsumptionMetrics": [
04 {
05 "clientId": "0000z",
06 "workloadId": 4829103746,
07 "productId": 1441110021,
08 "metricName": "images_processed",
09 "total": 32
10 },
11 {
12 "clientId": "0000z",
13 "workloadId": 1938475620,
14 "productId": 1441110021,
15 "metricName": "images_processed",
16 "total": 19478
17 },
18 {
19 "clientId": "0000z",
20 "workloadId": 7584931026,
21 "productId": 1441110021,
22 "metricName": "images_processed",
23 "total": 299612
24 },
25 {
26 "clientId": "0000z",
27 "workloadId": 6203849175,
28 "productId": 1441110021,
29 "metricName": "images_processed",
30 "total": 1432
31 },
32 {
33 "clientId": "0000z",
34 "workloadId": 3948571023,
35 "productId": 1441110021,
36 "metricName": "images_processed",
37 "total": 268675
38 }
39 ]
40 }
41}

Where:

FieldDescription
clientIdClient unique identifier on Azion. Example: 8437r.
workloadIdIdentifier for the workload associated with the usage. Example: 4829301746.
productIdUnique identifier of the product being used. In this case, 1441110021 for Image Processor.
metricNameName of the measured metric for analytics. Example: images_processed.
totalTotal number of images processed by Image Processor. This field is the result of a sum. Example: 268675.

The response returns the total number of images processed for each client and workload in the queried period.

Next steps