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func chilkatTest() {
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
let http = CkoHttp()!
var success: Bool
let queryParams = CkoJsonObject()!
queryParams.update("start_month", value: "1991-02-02T07:22:34.204Z")
queryParams.update("end_month", value: "1991-02-02T07:22:34.204Z")
queryParams.update("fields", value: "dbm_queries_usage")
queryParams.update("sort_direction", value: "desc")
queryParams.update("sort_name", value: "dbm_queries_usage")
queryParams.update("tag_breakdown_keys", value: "tempor Ut sed velit")
queryParams.update("next_record_id", value: "tempor Ut sed velit")
queryParams.update("include_descendants", value: "true")
http.setRequestHeader("Accept", value: "application/json;datetime-format=rfc3339")
var resp: CkoHttpResponse? = http.quickRequestParams("GET", url: "https://api.app.ddog-gov.com/api/v1/usage/monthly-attribution", json: queryParams)
if http.lastMethodSuccess == false {
print("\(http.lastErrorText!)")
return
}
let sbResponseBody = CkoStringBuilder()!
resp!.getBodySb(sbResponseBody)
let jResp = CkoJsonObject()!
jResp.loadSb(sbResponseBody)
jResp.emitCompact = false
print("Response Body:")
print("\(jResp.emit()!)")
var respStatusCode: Int = resp!.statusCode.intValue
print("Response Status Code = \(respStatusCode)")
if respStatusCode >= 400 {
print("Response Header:")
print("\(resp!.header!)")
print("Failed.")
resp = nil
return
}
resp = nil
// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)
// {
// "metadata": {
// "aggregates": [
// {
// "agg_type": "sum",
// "field": "custom_timeseries_usage",
// "value": -75872274.11279911
// },
// {
// "agg_type": "sum",
// "field": "custom_timeseries_usage",
// "value": 62426608.270860344
// }
// ],
// "pagination": {
// "next_record_id": "in velit esse"
// }
// },
// "usage": [
// {
// "month": "2002-08-13T15:07:13.466Z",
// "org_name": "elit reprehenderit",
// "public_id": "minim ipsum anim ",
// "region": "eu incididunt sint ut",
// "tag_config_source": "irure laboris culpa",
// "tags": {
// "dolore62": [
// "datadog-integrations-lab",
// "datadog-integrations-lab"
// ]
// },
// "updated_at": "2006-01-20T21:37:20.788Z",
// "values": {
// "api_percentage": -42977723.76246902,
// "api_usage": 95397982.7763887,
// "apm_fargate_percentage": 98784807.55202839,
// "apm_fargate_usage": -5570111.678832486,
// "apm_host_percentage": -56965575.051769115,
// "apm_host_usage": 6024527.554351345,
// "apm_usm_percentage": -44347230.916792005,
// "apm_usm_usage": -53614973.50940212,
// "appsec_fargate_percentage": -63949646.084028535,
// "appsec_fargate_usage": -13950059.836552203,
// "appsec_percentage": 77503688.59718463,
// "appsec_usage": -2749536.490563825,
// "browser_percentage": -57610165.63884018,
// "browser_usage": -61629554.27924777,
// "ci_visibility_itr_percentage": 9801397.272425354,
// "ci_visibility_itr_usage": 86901082.07052395,
// "container_excl_agent_percentage": -94758211.3791813,
// "container_excl_agent_usage": 47871386.536788315,
// "container_percentage": 77684191.36010852,
// "container_usage": 42244878.990811646,
// "cspm_containers_percentage": -27358203.524139896,
// "cspm_containers_usage": 7194834.822350323,
// "cspm_hosts_percentage": -58400939.80376841,
// "cspm_hosts_usage": -13088798.55443798,
// "custom_ingested_timeseries_percentage": 25418473.141955733,
// "custom_ingested_timeseries_usage": -6930274.896374792,
// "custom_timeseries_percentage": 57087072.053094536,
// "custom_timeseries_usage": -96533528.35676041,
// "cws_containers_percentage": 38802199.2161935,
// "cws_containers_usage": -48037945.78847249,
// "cws_hosts_percentage": -38139753.73665444,
// "cws_hosts_usage": 99175833.09167394,
// "dbm_hosts_percentage": -89557128.20902187,
// "dbm_hosts_usage": -2062788.2317033857,
// "dbm_queries_percentage": -81088882.42935035,
// "dbm_queries_usage": 1723401.8763353676,
// "estimated_indexed_logs_percentage": 19494055.047132045,
// "estimated_indexed_logs_usage": 10830691.252756879,
// "estimated_indexed_spans_percentage": 62593562.02511239,
// "estimated_indexed_spans_usage": -47185922.657971926,
// "estimated_ingested_logs_percentage": 87624062.51598707,
// "estimated_ingested_logs_usage": -35910323.49944707,
// "estimated_ingested_spans_percentage": -26620688.87925279,
// "estimated_ingested_spans_usage": -55965088.442498125,
// "estimated_rum_sessions_percentage": -89351036.0053822,
// "estimated_rum_sessions_usage": 69102190.52327245,
// "fargate_percentage": 31062755.564841017,
// "fargate_usage": 47033739.82451412,
// "functions_percentage": 53367355.86064315,
// "functions_usage": 11045136.755249456,
// "infra_host_percentage": -54626318.30325018,
// "infra_host_usage": 5481953.102816388,
// "invocations_percentage": 27641232.88982962,
// "invocations_usage": -23217061.12940158,
// "npm_host_percentage": -70428889.89530578,
// "npm_host_usage": 75035524.55544943,
// "obs_pipeline_bytes_percentage": 95030078.61571154,
// "obs_pipeline_bytes_usage": 16308063.424261168,
// "profiled_container_percentage": -47294745.9171313,
// "profiled_container_usage": 91333575.12025896,
// "profiled_fargate_percentage": 1159081.2940575331,
// "profiled_fargate_usage": 46737078.93751609,
// "profiled_host_percentage": -16133546.561951116,
// "profiled_host_usage": -55598728.99167555,
// "sds_scanned_bytes_percentage": 41324136.36835453,
// "sds_scanned_bytes_usage": 56766327.929751456,
// "snmp_percentage": -88823427.70029327,
// "snmp_usage": 32225665.615818232,
// "universal_service_monitoring_percentage": -79287423.3883524,
// "universal_service_monitoring_usage": -2355924.928932488,
// "vuln_management_hosts_percentage": -16935520.54186198,
// "vuln_management_hosts_usage": 74036018.8908129
// }
// },
// {
// "month": "1959-07-18T20:29:56.664Z",
// "org_name": "aliquip magna dolor",
// "public_id": "et iru",
// "region": "ut est esse ex",
// "tag_config_source": "sint",
// "tags": {
// "elit276": [
// "datadog-integrations-lab",
// "datadog-integrations-lab"
// ],
// "minim63": [
// "datadog-integrations-lab",
// "datadog-integrations-lab"
// ],
// "pariatur_d4": [
// "datadog-integrations-lab",
// "datadog-integrations-lab"
// ]
// },
// "updated_at": "1950-10-12T07:16:52.126Z",
// "values": {
// "api_percentage": -67093975.89355124,
// "api_usage": 22892492.134701967,
// "apm_fargate_percentage": 86445539.6960246,
// "apm_fargate_usage": 96626296.86785325,
// "apm_host_percentage": -17829260.52661082,
// "apm_host_usage": 99024863.04694226,
// "apm_usm_percentage": 15052506.96019815,
// "apm_usm_usage": -51446462.70068289,
// "appsec_fargate_percentage": -59920029.75633368,
// "appsec_fargate_usage": -12417338.286942497,
// "appsec_percentage": 33591696.66073081,
// "appsec_usage": 25137188.487309366,
// "browser_percentage": 97940358.7215335,
// "browser_usage": -52673885.905316986,
// "ci_visibility_itr_percentage": -88219975.69687605,
// "ci_visibility_itr_usage": -9447846.575050354,
// "container_excl_agent_percentage": -46735760.53814248,
// "container_excl_agent_usage": -73167643.29069096,
// "container_percentage": 69642254.33344507,
// "container_usage": 41091259.60962516,
// "cspm_containers_percentage": 42210153.5692417,
// "cspm_containers_usage": 75649568.34254551,
// "cspm_hosts_percentage": 32418249.39784172,
// "cspm_hosts_usage": 69540549.39095044,
// "custom_ingested_timeseries_percentage": -68775982.9429293,
// "custom_ingested_timeseries_usage": 76963891.89494428,
// "custom_timeseries_percentage": 60837059.719377786,
// "custom_timeseries_usage": -18989551.834226012,
// "cws_containers_percentage": -72647861.32948461,
// "cws_containers_usage": 99339681.5271622,
// "cws_hosts_percentage": -83440078.50328308,
// "cws_hosts_usage": 14084142.169001937,
// "dbm_hosts_percentage": 82967791.28126338,
// "dbm_hosts_usage": 25758868.864204437,
// "dbm_queries_percentage": -66889696.73566167,
// "dbm_queries_usage": 82584001.9588587,
// "estimated_indexed_logs_percentage": 18445591.7106888,
// "estimated_indexed_logs_usage": 95113838.43812409,
// "estimated_indexed_spans_percentage": -60446633.38281309,
// "estimated_indexed_spans_usage": -35817307.54312336,
// "estimated_ingested_logs_percentage": -78223744.53046979,
// "estimated_ingested_logs_usage": -69451886.32509902,
// "estimated_ingested_spans_percentage": 40809724.25659558,
// "estimated_ingested_spans_usage": -8599266.75406441,
// "estimated_rum_sessions_percentage": -50403382.65600939,
// "estimated_rum_sessions_usage": -56068159.05777034,
// "fargate_percentage": -58215167.93972128,
// "fargate_usage": 66587355.106164634,
// "functions_percentage": -47256769.918816224,
// "functions_usage": 1210604.9136780202,
// "infra_host_percentage": -15651911.45215477,
// "infra_host_usage": 83986438.03159028,
// "invocations_percentage": -72916419.47570357,
// "invocations_usage": -99391776.91322954,
// "npm_host_percentage": -26689735.74485798,
// "npm_host_usage": -58545960.56280492,
// "obs_pipeline_bytes_percentage": -18838497.449270487,
// "obs_pipeline_bytes_usage": -15181917.208459169,
// "profiled_container_percentage": -69415049.22818953,
// "profiled_container_usage": -22422349.354449615,
// "profiled_fargate_percentage": -88757833.10218939,
// "profiled_fargate_usage": -48134372.15719563,
// "profiled_host_percentage": -82357525.04911637,
// "profiled_host_usage": 50907558.67759526,
// "sds_scanned_bytes_percentage": -72420339.71282078,
// "sds_scanned_bytes_usage": 54343122.17874324,
// "snmp_percentage": -38192297.57339508,
// "snmp_usage": 26362518.073974475,
// "universal_service_monitoring_percentage": -97356790.37923175,
// "universal_service_monitoring_usage": -42030474.203919254,
// "vuln_management_hosts_percentage": -74076816.34914787,
// "vuln_management_hosts_usage": -25114557.39136301
// }
// }
// ]
// }
// Sample code for parsing the JSON response...
// Use this online tool to generate parsing code from sample JSON: Generate JSON Parsing Code
var agg_type: String?
var field: String?
var value: String?
var month: String?
var org_name: String?
var public_id: String?
var region: String?
var tag_config_source: String?
var updated_at: String?
var Api_percentage: String?
var Api_usage: String?
var Apm_fargate_percentage: String?
var Apm_fargate_usage: String?
var Apm_host_percentage: String?
var Apm_host_usage: String?
var Apm_usm_percentage: String?
var Apm_usm_usage: String?
var Appsec_fargate_percentage: String?
var Appsec_fargate_usage: String?
var Appsec_percentage: String?
var Appsec_usage: String?
var Browser_percentage: String?
var Browser_usage: String?
var Ci_visibility_itr_percentage: String?
var Ci_visibility_itr_usage: String?
var Container_excl_agent_percentage: String?
var Container_excl_agent_usage: String?
var Container_percentage: String?
var Container_usage: String?
var Cspm_containers_percentage: String?
var Cspm_containers_usage: String?
var Cspm_hosts_percentage: String?
var Cspm_hosts_usage: String?
var Custom_ingested_timeseries_percentage: String?
var Custom_ingested_timeseries_usage: String?
var Custom_timeseries_percentage: String?
var Custom_timeseries_usage: String?
var Cws_containers_percentage: String?
var Cws_containers_usage: String?
var Cws_hosts_percentage: String?
var Cws_hosts_usage: String?
var Dbm_hosts_percentage: String?
var Dbm_hosts_usage: String?
var Dbm_queries_percentage: String?
var Dbm_queries_usage: String?
var Estimated_indexed_logs_percentage: String?
var Estimated_indexed_logs_usage: String?
var Estimated_indexed_spans_percentage: String?
var Estimated_indexed_spans_usage: String?
var Estimated_ingested_logs_percentage: String?
var Estimated_ingested_logs_usage: String?
var Estimated_ingested_spans_percentage: String?
var Estimated_ingested_spans_usage: String?
var Estimated_rum_sessions_percentage: String?
var Estimated_rum_sessions_usage: String?
var Fargate_percentage: String?
var Fargate_usage: String?
var Functions_percentage: String?
var Functions_usage: String?
var Infra_host_percentage: String?
var Infra_host_usage: String?
var Invocations_percentage: String?
var Invocations_usage: String?
var Npm_host_percentage: String?
var Npm_host_usage: String?
var Obs_pipeline_bytes_percentage: String?
var Obs_pipeline_bytes_usage: String?
var Profiled_container_percentage: String?
var Profiled_container_usage: String?
var Profiled_fargate_percentage: String?
var Profiled_fargate_usage: String?
var Profiled_host_percentage: String?
var Profiled_host_usage: String?
var Sds_scanned_bytes_percentage: String?
var Sds_scanned_bytes_usage: String?
var Snmp_percentage: String?
var Snmp_usage: String?
var Universal_service_monitoring_percentage: String?
var Universal_service_monitoring_usage: String?
var Vuln_management_hosts_percentage: String?
var Vuln_management_hosts_usage: String?
var j: Int
var count_j: Int
var strVal: String?
var Next_record_id: String? = jResp.string(of: "metadata.pagination.next_record_id")
var i: Int = 0
var count_i: Int = jResp.size(ofArray: "metadata.aggregates").intValue
while i < count_i {
jResp.i = i
agg_type = jResp.string(of: "metadata.aggregates[i].agg_type")
field = jResp.string(of: "metadata.aggregates[i].field")
value = jResp.string(of: "metadata.aggregates[i].value")
i = i + 1
}
i = 0
count_i = jResp.size(ofArray: "usage").intValue
while i < count_i {
jResp.i = i
month = jResp.string(of: "usage[i].month")
org_name = jResp.string(of: "usage[i].org_name")
public_id = jResp.string(of: "usage[i].public_id")
region = jResp.string(of: "usage[i].region")
tag_config_source = jResp.string(of: "usage[i].tag_config_source")
updated_at = jResp.string(of: "usage[i].updated_at")
Api_percentage = jResp.string(of: "usage[i].values.api_percentage")
Api_usage = jResp.string(of: "usage[i].values.api_usage")
Apm_fargate_percentage = jResp.string(of: "usage[i].values.apm_fargate_percentage")
Apm_fargate_usage = jResp.string(of: "usage[i].values.apm_fargate_usage")
Apm_host_percentage = jResp.string(of: "usage[i].values.apm_host_percentage")
Apm_host_usage = jResp.string(of: "usage[i].values.apm_host_usage")
Apm_usm_percentage = jResp.string(of: "usage[i].values.apm_usm_percentage")
Apm_usm_usage = jResp.string(of: "usage[i].values.apm_usm_usage")
Appsec_fargate_percentage = jResp.string(of: "usage[i].values.appsec_fargate_percentage")
Appsec_fargate_usage = jResp.string(of: "usage[i].values.appsec_fargate_usage")
Appsec_percentage = jResp.string(of: "usage[i].values.appsec_percentage")
Appsec_usage = jResp.string(of: "usage[i].values.appsec_usage")
Browser_percentage = jResp.string(of: "usage[i].values.browser_percentage")
Browser_usage = jResp.string(of: "usage[i].values.browser_usage")
Ci_visibility_itr_percentage = jResp.string(of: "usage[i].values.ci_visibility_itr_percentage")
Ci_visibility_itr_usage = jResp.string(of: "usage[i].values.ci_visibility_itr_usage")
Container_excl_agent_percentage = jResp.string(of: "usage[i].values.container_excl_agent_percentage")
Container_excl_agent_usage = jResp.string(of: "usage[i].values.container_excl_agent_usage")
Container_percentage = jResp.string(of: "usage[i].values.container_percentage")
Container_usage = jResp.string(of: "usage[i].values.container_usage")
Cspm_containers_percentage = jResp.string(of: "usage[i].values.cspm_containers_percentage")
Cspm_containers_usage = jResp.string(of: "usage[i].values.cspm_containers_usage")
Cspm_hosts_percentage = jResp.string(of: "usage[i].values.cspm_hosts_percentage")
Cspm_hosts_usage = jResp.string(of: "usage[i].values.cspm_hosts_usage")
Custom_ingested_timeseries_percentage = jResp.string(of: "usage[i].values.custom_ingested_timeseries_percentage")
Custom_ingested_timeseries_usage = jResp.string(of: "usage[i].values.custom_ingested_timeseries_usage")
Custom_timeseries_percentage = jResp.string(of: "usage[i].values.custom_timeseries_percentage")
Custom_timeseries_usage = jResp.string(of: "usage[i].values.custom_timeseries_usage")
Cws_containers_percentage = jResp.string(of: "usage[i].values.cws_containers_percentage")
Cws_containers_usage = jResp.string(of: "usage[i].values.cws_containers_usage")
Cws_hosts_percentage = jResp.string(of: "usage[i].values.cws_hosts_percentage")
Cws_hosts_usage = jResp.string(of: "usage[i].values.cws_hosts_usage")
Dbm_hosts_percentage = jResp.string(of: "usage[i].values.dbm_hosts_percentage")
Dbm_hosts_usage = jResp.string(of: "usage[i].values.dbm_hosts_usage")
Dbm_queries_percentage = jResp.string(of: "usage[i].values.dbm_queries_percentage")
Dbm_queries_usage = jResp.string(of: "usage[i].values.dbm_queries_usage")
Estimated_indexed_logs_percentage = jResp.string(of: "usage[i].values.estimated_indexed_logs_percentage")
Estimated_indexed_logs_usage = jResp.string(of: "usage[i].values.estimated_indexed_logs_usage")
Estimated_indexed_spans_percentage = jResp.string(of: "usage[i].values.estimated_indexed_spans_percentage")
Estimated_indexed_spans_usage = jResp.string(of: "usage[i].values.estimated_indexed_spans_usage")
Estimated_ingested_logs_percentage = jResp.string(of: "usage[i].values.estimated_ingested_logs_percentage")
Estimated_ingested_logs_usage = jResp.string(of: "usage[i].values.estimated_ingested_logs_usage")
Estimated_ingested_spans_percentage = jResp.string(of: "usage[i].values.estimated_ingested_spans_percentage")
Estimated_ingested_spans_usage = jResp.string(of: "usage[i].values.estimated_ingested_spans_usage")
Estimated_rum_sessions_percentage = jResp.string(of: "usage[i].values.estimated_rum_sessions_percentage")
Estimated_rum_sessions_usage = jResp.string(of: "usage[i].values.estimated_rum_sessions_usage")
Fargate_percentage = jResp.string(of: "usage[i].values.fargate_percentage")
Fargate_usage = jResp.string(of: "usage[i].values.fargate_usage")
Functions_percentage = jResp.string(of: "usage[i].values.functions_percentage")
Functions_usage = jResp.string(of: "usage[i].values.functions_usage")
Infra_host_percentage = jResp.string(of: "usage[i].values.infra_host_percentage")
Infra_host_usage = jResp.string(of: "usage[i].values.infra_host_usage")
Invocations_percentage = jResp.string(of: "usage[i].values.invocations_percentage")
Invocations_usage = jResp.string(of: "usage[i].values.invocations_usage")
Npm_host_percentage = jResp.string(of: "usage[i].values.npm_host_percentage")
Npm_host_usage = jResp.string(of: "usage[i].values.npm_host_usage")
Obs_pipeline_bytes_percentage = jResp.string(of: "usage[i].values.obs_pipeline_bytes_percentage")
Obs_pipeline_bytes_usage = jResp.string(of: "usage[i].values.obs_pipeline_bytes_usage")
Profiled_container_percentage = jResp.string(of: "usage[i].values.profiled_container_percentage")
Profiled_container_usage = jResp.string(of: "usage[i].values.profiled_container_usage")
Profiled_fargate_percentage = jResp.string(of: "usage[i].values.profiled_fargate_percentage")
Profiled_fargate_usage = jResp.string(of: "usage[i].values.profiled_fargate_usage")
Profiled_host_percentage = jResp.string(of: "usage[i].values.profiled_host_percentage")
Profiled_host_usage = jResp.string(of: "usage[i].values.profiled_host_usage")
Sds_scanned_bytes_percentage = jResp.string(of: "usage[i].values.sds_scanned_bytes_percentage")
Sds_scanned_bytes_usage = jResp.string(of: "usage[i].values.sds_scanned_bytes_usage")
Snmp_percentage = jResp.string(of: "usage[i].values.snmp_percentage")
Snmp_usage = jResp.string(of: "usage[i].values.snmp_usage")
Universal_service_monitoring_percentage = jResp.string(of: "usage[i].values.universal_service_monitoring_percentage")
Universal_service_monitoring_usage = jResp.string(of: "usage[i].values.universal_service_monitoring_usage")
Vuln_management_hosts_percentage = jResp.string(of: "usage[i].values.vuln_management_hosts_percentage")
Vuln_management_hosts_usage = jResp.string(of: "usage[i].values.vuln_management_hosts_usage")
j = 0
count_j = jResp.size(ofArray: "usage[i].tags.dolore62").intValue
while j < count_j {
jResp.j = j
strVal = jResp.string(of: "usage[i].tags.dolore62[j]")
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "usage[i].tags.elit276").intValue
while j < count_j {
jResp.j = j
strVal = jResp.string(of: "usage[i].tags.elit276[j]")
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "usage[i].tags.minim63").intValue
while j < count_j {
jResp.j = j
strVal = jResp.string(of: "usage[i].tags.minim63[j]")
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "usage[i].tags.pariatur_d4").intValue
while j < count_j {
jResp.j = j
strVal = jResp.string(of: "usage[i].tags.pariatur_d4[j]")
j = j + 1
}
i = i + 1
}
}
Curl Command
curl -G -d "start_month=1991-02-02T07%3A22%3A34.204Z"
-d "end_month=1991-02-02T07%3A22%3A34.204Z"
-d "fields=dbm_queries_usage"
-d "sort_direction=desc"
-d "sort_name=dbm_queries_usage"
-d "tag_breakdown_keys=tempor%20Ut%20sed%20velit"
-d "next_record_id=tempor%20Ut%20sed%20velit"
-d "include_descendants=true"
-H "Accept: application/json;datetime-format=rfc3339"
https://api.app.ddog-gov.com/api/v1/usage/monthly-attribution
Postman Collection Item JSON
{
"name": "Get monthly usage attribution",
"request": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json;datetime-format=rfc3339"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/usage/monthly-attribution?start_month=1991-02-02T07:22:34.204Z&end_month=1991-02-02T07:22:34.204Z&fields=dbm_queries_usage&sort_direction=desc&sort_name=dbm_queries_usage&tag_breakdown_keys=tempor Ut sed velit&next_record_id=tempor Ut sed velit&include_descendants=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"usage",
"monthly-attribution"
],
"query": [
{
"key": "start_month",
"value": "1991-02-02T07:22:34.204Z",
"description": "(Required) Datetime in ISO-8601 format, UTC, precise to month: `[YYYY-MM]` for usage beginning in this month.\nMaximum of 15 months ago."
},
{
"key": "end_month",
"value": "1991-02-02T07:22:34.204Z",
"description": "Datetime in ISO-8601 format, UTC, precise to month: `[YYYY-MM]` for usage ending this month."
},
{
"key": "fields",
"value": "dbm_queries_usage",
"description": "(Required) Comma-separated list of usage types to return, or `*` for all usage types."
},
{
"key": "sort_direction",
"value": "desc",
"description": "The direction to sort by: `[desc, asc]`."
},
{
"key": "sort_name",
"value": "dbm_queries_usage",
"description": "The field to sort by."
},
{
"key": "tag_breakdown_keys",
"value": "tempor Ut sed velit",
"description": "Comma separated list of tag keys used to group usage. If no value is provided the usage will not be broken down by tags.\n\nTo see which tags are available, look for the value of `tag_config_source` in the API response."
},
{
"key": "next_record_id",
"value": "tempor Ut sed velit",
"description": "List following results with a next_record_id provided in the previous query."
},
{
"key": "include_descendants",
"value": "true",
"description": "Include child org usage in the response. Defaults to `true`."
}
]
},
"description": "Get monthly usage attribution. Multi-region data is available starting March 1, 2023.\n\nThis API endpoint is paginated. To make sure you receive all records, check if the value of `next_record_id` is\nset in the response. If it is, make another request and pass `next_record_id` as a parameter.\nPseudo code example:\n\n```\nresponse := GetMonthlyUsageAttribution(start_month)\ncursor := response.metadata.pagination.next_record_id\nWHILE cursor != null BEGIN\n sleep(5 seconds) # Avoid running into rate limit\n response := GetMonthlyUsageAttribution(start_month, next_record_id=cursor)\n cursor := response.metadata.pagination.next_record_id\nEND\n```"
},
"response": [
{
"name": "OK",
"originalRequest": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json;datetime-format=rfc3339"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/usage/monthly-attribution?start_month=1991-02-02T07:22:34.204Z&end_month=1991-02-02T07:22:34.204Z&fields=dbm_queries_usage&sort_direction=desc&sort_name=dbm_queries_usage&tag_breakdown_keys=tempor Ut sed velit&next_record_id=tempor Ut sed velit&include_descendants=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"usage",
"monthly-attribution"
],
"query": [
{
"key": "start_month",
"value": "1991-02-02T07:22:34.204Z",
"description": "(Required) Datetime in ISO-8601 format, UTC, precise to month: `[YYYY-MM]` for usage beginning in this month.\nMaximum of 15 months ago."
},
{
"key": "end_month",
"value": "1991-02-02T07:22:34.204Z",
"description": "Datetime in ISO-8601 format, UTC, precise to month: `[YYYY-MM]` for usage ending this month."
},
{
"key": "fields",
"value": "dbm_queries_usage",
"description": "(Required) Comma-separated list of usage types to return, or `*` for all usage types."
},
{
"key": "sort_direction",
"value": "desc",
"description": "The direction to sort by: `[desc, asc]`."
},
{
"key": "sort_name",
"value": "dbm_queries_usage",
"description": "The field to sort by."
},
{
"key": "tag_breakdown_keys",
"value": "tempor Ut sed velit",
"description": "Comma separated list of tag keys used to group usage. If no value is provided the usage will not be broken down by tags.\n\nTo see which tags are available, look for the value of `tag_config_source` in the API response."
},
{
"key": "next_record_id",
"value": "tempor Ut sed velit",
"description": "List following results with a next_record_id provided in the previous query."
},
{
"key": "include_descendants",
"value": "true",
"description": "Include child org usage in the response. Defaults to `true`."
}
]
}
},
"status": "OK",
"code": 200,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json;datetime-format=rfc3339"
}
],
"cookie": [
],
"body": "{\n \"metadata\": {\n \"aggregates\": [\n {\n \"agg_type\": \"sum\",\n \"field\": \"custom_timeseries_usage\",\n \"value\": -75872274.11279911\n },\n {\n \"agg_type\": \"sum\",\n \"field\": \"custom_timeseries_usage\",\n \"value\": 62426608.270860344\n }\n ],\n \"pagination\": {\n \"next_record_id\": \"in velit esse\"\n }\n },\n \"usage\": [\n {\n \"month\": \"2002-08-13T15:07:13.466Z\",\n \"org_name\": \"elit reprehenderit\",\n \"public_id\": \"minim ipsum anim \",\n \"region\": \"eu incididunt sint ut\",\n \"tag_config_source\": \"irure laboris culpa\",\n \"tags\": {\n \"dolore62\": [\n \"datadog-integrations-lab\",\n \"datadog-integrations-lab\"\n ]\n },\n \"updated_at\": \"2006-01-20T21:37:20.788Z\",\n \"values\": {\n \"api_percentage\": -42977723.76246902,\n \"api_usage\": 95397982.7763887,\n \"apm_fargate_percentage\": 98784807.55202839,\n \"apm_fargate_usage\": -5570111.678832486,\n \"apm_host_percentage\": -56965575.051769115,\n \"apm_host_usage\": 6024527.554351345,\n \"apm_usm_percentage\": -44347230.916792005,\n \"apm_usm_usage\": -53614973.50940212,\n \"appsec_fargate_percentage\": -63949646.084028535,\n \"appsec_fargate_usage\": -13950059.836552203,\n \"appsec_percentage\": 77503688.59718463,\n \"appsec_usage\": -2749536.490563825,\n \"browser_percentage\": -57610165.63884018,\n \"browser_usage\": -61629554.27924777,\n \"ci_visibility_itr_percentage\": 9801397.272425354,\n \"ci_visibility_itr_usage\": 86901082.07052395,\n \"container_excl_agent_percentage\": -94758211.3791813,\n \"container_excl_agent_usage\": 47871386.536788315,\n \"container_percentage\": 77684191.36010852,\n \"container_usage\": 42244878.990811646,\n \"cspm_containers_percentage\": -27358203.524139896,\n \"cspm_containers_usage\": 7194834.822350323,\n \"cspm_hosts_percentage\": -58400939.80376841,\n \"cspm_hosts_usage\": -13088798.55443798,\n \"custom_ingested_timeseries_percentage\": 25418473.141955733,\n \"custom_ingested_timeseries_usage\": -6930274.896374792,\n \"custom_timeseries_percentage\": 57087072.053094536,\n \"custom_timeseries_usage\": -96533528.35676041,\n \"cws_containers_percentage\": 38802199.2161935,\n \"cws_containers_usage\": -48037945.78847249,\n \"cws_hosts_percentage\": -38139753.73665444,\n \"cws_hosts_usage\": 99175833.09167394,\n \"dbm_hosts_percentage\": -89557128.20902187,\n \"dbm_hosts_usage\": -2062788.2317033857,\n \"dbm_queries_percentage\": -81088882.42935035,\n \"dbm_queries_usage\": 1723401.8763353676,\n \"estimated_indexed_logs_percentage\": 19494055.047132045,\n \"estimated_indexed_logs_usage\": 10830691.252756879,\n \"estimated_indexed_spans_percentage\": 62593562.02511239,\n \"estimated_indexed_spans_usage\": -47185922.657971926,\n \"estimated_ingested_logs_percentage\": 87624062.51598707,\n \"estimated_ingested_logs_usage\": -35910323.49944707,\n \"estimated_ingested_spans_percentage\": -26620688.87925279,\n \"estimated_ingested_spans_usage\": -55965088.442498125,\n \"estimated_rum_sessions_percentage\": -89351036.0053822,\n \"estimated_rum_sessions_usage\": 69102190.52327245,\n \"fargate_percentage\": 31062755.564841017,\n \"fargate_usage\": 47033739.82451412,\n \"functions_percentage\": 53367355.86064315,\n \"functions_usage\": 11045136.755249456,\n \"infra_host_percentage\": -54626318.30325018,\n \"infra_host_usage\": 5481953.102816388,\n \"invocations_percentage\": 27641232.88982962,\n \"invocations_usage\": -23217061.12940158,\n \"npm_host_percentage\": -70428889.89530578,\n \"npm_host_usage\": 75035524.55544943,\n \"obs_pipeline_bytes_percentage\": 95030078.61571154,\n \"obs_pipeline_bytes_usage\": 16308063.424261168,\n \"profiled_container_percentage\": -47294745.9171313,\n \"profiled_container_usage\": 91333575.12025896,\n \"profiled_fargate_percentage\": 1159081.2940575331,\n \"profiled_fargate_usage\": 46737078.93751609,\n \"profiled_host_percentage\": -16133546.561951116,\n \"profiled_host_usage\": -55598728.99167555,\n \"sds_scanned_bytes_percentage\": 41324136.36835453,\n \"sds_scanned_bytes_usage\": 56766327.929751456,\n \"snmp_percentage\": -88823427.70029327,\n \"snmp_usage\": 32225665.615818232,\n \"universal_service_monitoring_percentage\": -79287423.3883524,\n \"universal_service_monitoring_usage\": -2355924.928932488,\n \"vuln_management_hosts_percentage\": -16935520.54186198,\n \"vuln_management_hosts_usage\": 74036018.8908129\n }\n },\n {\n \"month\": \"1959-07-18T20:29:56.664Z\",\n \"org_name\": \"aliquip magna dolor\",\n \"public_id\": \"et iru\",\n \"region\": \"ut est esse ex\",\n \"tag_config_source\": \"sint\",\n \"tags\": {\n \"elit276\": [\n \"datadog-integrations-lab\",\n \"datadog-integrations-lab\"\n ],\n \"minim63\": [\n \"datadog-integrations-lab\",\n \"datadog-integrations-lab\"\n ],\n \"pariatur_d4\": [\n \"datadog-integrations-lab\",\n \"datadog-integrations-lab\"\n ]\n },\n \"updated_at\": \"1950-10-12T07:16:52.126Z\",\n \"values\": {\n \"api_percentage\": -67093975.89355124,\n \"api_usage\": 22892492.134701967,\n \"apm_fargate_percentage\": 86445539.6960246,\n \"apm_fargate_usage\": 96626296.86785325,\n \"apm_host_percentage\": -17829260.52661082,\n \"apm_host_usage\": 99024863.04694226,\n \"apm_usm_percentage\": 15052506.96019815,\n \"apm_usm_usage\": -51446462.70068289,\n \"appsec_fargate_percentage\": -59920029.75633368,\n \"appsec_fargate_usage\": -12417338.286942497,\n \"appsec_percentage\": 33591696.66073081,\n \"appsec_usage\": 25137188.487309366,\n \"browser_percentage\": 97940358.7215335,\n \"browser_usage\": -52673885.905316986,\n \"ci_visibility_itr_percentage\": -88219975.69687605,\n \"ci_visibility_itr_usage\": -9447846.575050354,\n \"container_excl_agent_percentage\": -46735760.53814248,\n \"container_excl_agent_usage\": -73167643.29069096,\n \"container_percentage\": 69642254.33344507,\n \"container_usage\": 41091259.60962516,\n \"cspm_containers_percentage\": 42210153.5692417,\n \"cspm_containers_usage\": 75649568.34254551,\n \"cspm_hosts_percentage\": 32418249.39784172,\n \"cspm_hosts_usage\": 69540549.39095044,\n \"custom_ingested_timeseries_percentage\": -68775982.9429293,\n \"custom_ingested_timeseries_usage\": 76963891.89494428,\n \"custom_timeseries_percentage\": 60837059.719377786,\n \"custom_timeseries_usage\": -18989551.834226012,\n \"cws_containers_percentage\": -72647861.32948461,\n \"cws_containers_usage\": 99339681.5271622,\n \"cws_hosts_percentage\": -83440078.50328308,\n \"cws_hosts_usage\": 14084142.169001937,\n \"dbm_hosts_percentage\": 82967791.28126338,\n \"dbm_hosts_usage\": 25758868.864204437,\n \"dbm_queries_percentage\": -66889696.73566167,\n \"dbm_queries_usage\": 82584001.9588587,\n \"estimated_indexed_logs_percentage\": 18445591.7106888,\n \"estimated_indexed_logs_usage\": 95113838.43812409,\n \"estimated_indexed_spans_percentage\": -60446633.38281309,\n \"estimated_indexed_spans_usage\": -35817307.54312336,\n \"estimated_ingested_logs_percentage\": -78223744.53046979,\n \"estimated_ingested_logs_usage\": -69451886.32509902,\n \"estimated_ingested_spans_percentage\": 40809724.25659558,\n \"estimated_ingested_spans_usage\": -8599266.75406441,\n \"estimated_rum_sessions_percentage\": -50403382.65600939,\n \"estimated_rum_sessions_usage\": -56068159.05777034,\n \"fargate_percentage\": -58215167.93972128,\n \"fargate_usage\": 66587355.106164634,\n \"functions_percentage\": -47256769.918816224,\n \"functions_usage\": 1210604.9136780202,\n \"infra_host_percentage\": -15651911.45215477,\n \"infra_host_usage\": 83986438.03159028,\n \"invocations_percentage\": -72916419.47570357,\n \"invocations_usage\": -99391776.91322954,\n \"npm_host_percentage\": -26689735.74485798,\n \"npm_host_usage\": -58545960.56280492,\n \"obs_pipeline_bytes_percentage\": -18838497.449270487,\n \"obs_pipeline_bytes_usage\": -15181917.208459169,\n \"profiled_container_percentage\": -69415049.22818953,\n \"profiled_container_usage\": -22422349.354449615,\n \"profiled_fargate_percentage\": -88757833.10218939,\n \"profiled_fargate_usage\": -48134372.15719563,\n \"profiled_host_percentage\": -82357525.04911637,\n \"profiled_host_usage\": 50907558.67759526,\n \"sds_scanned_bytes_percentage\": -72420339.71282078,\n \"sds_scanned_bytes_usage\": 54343122.17874324,\n \"snmp_percentage\": -38192297.57339508,\n \"snmp_usage\": 26362518.073974475,\n \"universal_service_monitoring_percentage\": -97356790.37923175,\n \"universal_service_monitoring_usage\": -42030474.203919254,\n \"vuln_management_hosts_percentage\": -74076816.34914787,\n \"vuln_management_hosts_usage\": -25114557.39136301\n }\n }\n ]\n}"
},
{
"name": "Forbidden - User is not authorized",
"originalRequest": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json;datetime-format=rfc3339"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/usage/monthly-attribution?start_month=1991-02-02T07:22:34.204Z&end_month=1991-02-02T07:22:34.204Z&fields=dbm_queries_usage&sort_direction=desc&sort_name=dbm_queries_usage&tag_breakdown_keys=tempor Ut sed velit&next_record_id=tempor Ut sed velit&include_descendants=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"usage",
"monthly-attribution"
],
"query": [
{
"key": "start_month",
"value": "1991-02-02T07:22:34.204Z",
"description": "(Required) Datetime in ISO-8601 format, UTC, precise to month: `[YYYY-MM]` for usage beginning in this month.\nMaximum of 15 months ago."
},
{
"key": "end_month",
"value": "1991-02-02T07:22:34.204Z",
"description": "Datetime in ISO-8601 format, UTC, precise to month: `[YYYY-MM]` for usage ending this month."
},
{
"key": "fields",
"value": "dbm_queries_usage",
"description": "(Required) Comma-separated list of usage types to return, or `*` for all usage types."
},
{
"key": "sort_direction",
"value": "desc",
"description": "The direction to sort by: `[desc, asc]`."
},
{
"key": "sort_name",
"value": "dbm_queries_usage",
"description": "The field to sort by."
},
{
"key": "tag_breakdown_keys",
"value": "tempor Ut sed velit",
"description": "Comma separated list of tag keys used to group usage. If no value is provided the usage will not be broken down by tags.\n\nTo see which tags are available, look for the value of `tag_config_source` in the API response."
},
{
"key": "next_record_id",
"value": "tempor Ut sed velit",
"description": "List following results with a next_record_id provided in the previous query."
},
{
"key": "include_descendants",
"value": "true",
"description": "Include child org usage in the response. Defaults to `true`."
}
]
}
},
"status": "Forbidden",
"code": 403,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json;datetime-format=rfc3339"
}
],
"cookie": [
],
"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
},
{
"name": "Too many requests",
"originalRequest": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json;datetime-format=rfc3339"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/usage/monthly-attribution?start_month=1991-02-02T07:22:34.204Z&end_month=1991-02-02T07:22:34.204Z&fields=dbm_queries_usage&sort_direction=desc&sort_name=dbm_queries_usage&tag_breakdown_keys=tempor Ut sed velit&next_record_id=tempor Ut sed velit&include_descendants=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"usage",
"monthly-attribution"
],
"query": [
{
"key": "start_month",
"value": "1991-02-02T07:22:34.204Z",
"description": "(Required) Datetime in ISO-8601 format, UTC, precise to month: `[YYYY-MM]` for usage beginning in this month.\nMaximum of 15 months ago."
},
{
"key": "end_month",
"value": "1991-02-02T07:22:34.204Z",
"description": "Datetime in ISO-8601 format, UTC, precise to month: `[YYYY-MM]` for usage ending this month."
},
{
"key": "fields",
"value": "dbm_queries_usage",
"description": "(Required) Comma-separated list of usage types to return, or `*` for all usage types."
},
{
"key": "sort_direction",
"value": "desc",
"description": "The direction to sort by: `[desc, asc]`."
},
{
"key": "sort_name",
"value": "dbm_queries_usage",
"description": "The field to sort by."
},
{
"key": "tag_breakdown_keys",
"value": "tempor Ut sed velit",
"description": "Comma separated list of tag keys used to group usage. If no value is provided the usage will not be broken down by tags.\n\nTo see which tags are available, look for the value of `tag_config_source` in the API response."
},
{
"key": "next_record_id",
"value": "tempor Ut sed velit",
"description": "List following results with a next_record_id provided in the previous query."
},
{
"key": "include_descendants",
"value": "true",
"description": "Include child org usage in the response. Defaults to `true`."
}
]
}
},
"status": "Too Many Requests",
"code": 429,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json;datetime-format=rfc3339"
}
],
"cookie": [
],
"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
}
]
}
