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Querying Magic Firewall Samples with GraphQL

In this example, we are going to use the GraphQL Analytics API to query for Magic Firewall Samples over a specified time period.

The following API call will request Magic Firewall Samples over a one hour period, and output the requested fields. Be sure to replace <CLOUDFLARE_ACCOUNT_ID>, <EMAIL>, and <API_KEY> with your zone tag and API credentials, and adjust the datetime_geg and datetime_leq values to your liking.

API Call

Terminal window
echo '{ "query":
"query MFWActivity {
viewer {
accounts(filter: { accountTag: $accountTag }) {
magicFirewallSamplesAdaptiveGroups(
filter: $filter
limit: 10
orderBy: [datetimeFiveMinute_DESC]
) {
sum {
bits
packets
}
dimensions {
datetimeFiveMinute
ruleId
}
}
}
}
}",
"variables": {
"accountTag": "<CLOUDFLARE_ACCOUNT_ID>",
"filter": {
"datetime_geq": "2022-07-24T11:00:00Z",
"datetime_leq": "2022-07-24T11:10:00Z"
}
}
}' | tr -d '\n' | curl --silent \
https://api.cloudflare.com/client/v4/graphql \
--header "Authorization: Bearer <API_TOKEN>" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data @-

The returned values represent the total number of packets and bits received during the five minute interval for a particular rule. The result will be in JSON (as requested), so piping the output to jq will make it easier to read, like in the following example:

Terminal window
... | curl --silent \
https://api.cloudflare.com/client/v4/graphql \
--header "Authorization: Bearer <API_TOKEN>" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data @- | jq .
#=> {
#=> "data": {
#=> "viewer": {
#=> "accounts": [
#=> {
#=> "magicFirewallSamplesAdaptiveGroups": [
#=> {
#=> sum: { bits: 327680, packets: 16384 },
#=> dimensions: {
#=> datetimeFiveMinute: '2021-05-12T22:00-00:00',
#=> ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'
#=> }
#=> },
#=> {
#=> sum: { bits: 360448, packets: 8192 },
#=> dimensions: {
#=> datetimeFiveMinute: '2021-05-12T22:05-00:00',
#=> ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'
#=> }
#=> },
#=> {
#=> sum: { bits: 327680, packets: 8192 },
#=> dimensions: {
#=> datetimeFiveMinute: '2021-05-12T22:05-00:00',
#=> ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'
#=> }
#=> },
#=> {
#=> sum: { bits: 360448, packets: 8192 },
#=> dimensions: {
#=> datetimeFiveMinute: '2021-05-12T22:20-00:00',
#=> ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'
#=> }
#=> },
#=> {
#=> sum: { bits: 327680, packets: 8192 },
#=> dimensions: {
#=> datetimeFiveMinute: '2021-05-12T22:20-00:00',
#=> ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'
#=> }
#=> }
#=> ]
#=> }
#=> ]
#=> }
#=> },
#=> "errors": null
#=> }