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  1. Products
  2. Magic WAN
  3. Analytics
  4. Querying Magic WAN tunnel bandwidth analytics with GraphQL

Querying Magic WAN tunnel bandwidth analytics with GraphQL

In this example, you are going to use the GraphQL Analytics API to query Magic WAN ingress tunnel traffic over a specified time period.

The following API call will request Magic WAN ingress tunnel traffic over a one-hour period and output the requested fields. Be sure to replace <CLOUDFLARE_ACCOUNT_ID>, <EMAIL>, and <API_KEY> with your email and API credentials, and adjust the datetime_geq and datetime_leq values as needed.

The following example queries for ingress traffic. To query for egress, change the value in the direction filter.

​​ API Call

PAYLOAD='{ "query":
  "query GetTunnelHealthCheckResults($accountTag: string, $datetimeStart: string, $datetimeEnd: string) {
      viewer {
        accounts(filter: {accountTag: $accountTag}) {
          magicTransitTunnelTrafficAdaptiveGroups(
            limit: 100,
            filter: {
              datetime_geq: $datetimeStart,
              datetime_lt:  $datetimeEnd,
              direction: $direction
            }
          ) {
            avg {
              bitRateFiveMinutes
            }
            dimensions {
              tunnelName
              datetimeFiveMinutes
            }
          }
        }
      }
  }",
    "variables": {
      "accountTag": "<CLOUDFLARE_ACCOUNT_ID>",
      "direction": "ingress",
      "datetimeStart": "2022-05-04T11:00:00.000Z",
      "datetimeEnd": "2022-05-04T12:00:00.000Z"
    }
  }
}'



# curl with Legacy API Key

curl https://api.cloudflare.com/client/v4/graphql/ \

--header "X-Auth-Email: <EMAIL>" \

--header "X-Auth-Key: <API_KEY>" \

--header "Content-Type: application/json" \

--data "$(echo $PAYLOAD)"




# curl with API Token

curl https://api.cloudflare.com/client/v4/graphql/ \

--header "Authorization: Bearer <API_TOKEN>" \

--header "Content-Type: application/json" \

--data "$(echo $PAYLOAD)"

The returned values represent the total bandwidth in bits/second during the five minute interval for a particular tunnel. To use aggregations other than five minutes, make sure that you use the same window for both your metric and date time. For example, to see hourly groups, use bitRateHour and datetimeHour.

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:

... | curl \
  https://api.cloudflare.com/client/v4/graphql/ \
  --header "X-Auth-Email: <EMAIL>" \
  --header "X-Auth-Key: <API_KEY>" \
  --header "Content-Type: application/json" \
  --data "$(echo $PAYLOAD)" | jq .



#=> {

#=>   "data": {

#=>     "viewer": {

#=>       "accounts": [

#=>         {

#=>           "magicTransitTunnelTrafficAdaptiveGroups": [

#=>             {

#=>               avg: { bitRateFiveMinutes:  327680 },

#=>               dimensions: {

#=>                 datetimeFiveMinute: '2021-05-12T22:00-00:00',

#=>                 tunnelName: 'tunnel_name'

#=>               }

#=>             },

#=>             {

#=>               avg: { bitRateFiveMinutes:  627213680 },

#=>               dimensions: {

#=>                 datetimeFiveMinute: '2021-05-12T22:05-00:00',

#=>                 tunnelName: 'another_tunnel'

#=>              }

#=>             }

#=>           ]

#=>         }

#=>       ]

#=>     }

#=>   },

#=>   "errors": null

#=> }