Back to Collection Items
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.updateInt("from_ts", value: -62147425)
queryParams.updateInt("to_ts", value: -62147425)
queryParams.update("target", value: "49.34019051965387")
queryParams.update("apply_correction", value: "true")
http.setRequestHeader("Accept", value: "application/json")
var resp: CkoHttpResponse? = http.quickRequestParams("GET", url: "https://api.app.ddog-gov.com/api/v1/slo/:slo_id/history", 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)
// {
// "data": {
// "from_ts": 1615323990,
// "group_by": [
// "aliqua pariatur",
// "labor"
// ],
// "groups": [
// {
// "error_budget_remaining": {
// "7d": 100
// },
// "errors": [
// {
// "error_type": "",
// "error_message": ""
// },
// {
// "error_type": "",
// "error_message": ""
// }
// ],
// "group": "name",
// "history": [
// [
// 1579212382,
// 0
// ]
// ],
// "monitor_modified": 1615867200,
// "monitor_type": "string",
// "name": "string",
// "precision": 2,
// "preview": true,
// "sli_value": 99.99,
// "span_precision": 2,
// "uptime": 99.99
// },
// {
// "error_budget_remaining": {
// "7d": 100
// },
// "errors": [
// {
// "error_type": "",
// "error_message": ""
// },
// {
// "error_type": "",
// "error_message": ""
// }
// ],
// "group": "name",
// "history": [
// [
// 1579212382,
// 0
// ]
// ],
// "monitor_modified": 1615867200,
// "monitor_type": "string",
// "name": "string",
// "precision": 2,
// "preview": true,
// "sli_value": 99.99,
// "span_precision": 2,
// "uptime": 99.99
// }
// ],
// "monitors": [
// {
// "error_budget_remaining": {
// "7d": 100
// },
// "errors": [
// {
// "error_type": "",
// "error_message": ""
// },
// {
// "error_type": "",
// "error_message": ""
// }
// ],
// "group": "name",
// "history": [
// [
// 1579212382,
// 0
// ]
// ],
// "monitor_modified": 1615867200,
// "monitor_type": "string",
// "name": "string",
// "precision": 2,
// "preview": true,
// "sli_value": 99.99,
// "span_precision": 2,
// "uptime": 99.99
// },
// {
// "error_budget_remaining": {
// "7d": 100
// },
// "errors": [
// {
// "error_type": "",
// "error_message": ""
// },
// {
// "error_type": "",
// "error_message": ""
// }
// ],
// "group": "name",
// "history": [
// [
// 1579212382,
// 0
// ]
// ],
// "monitor_modified": 1615867200,
// "monitor_type": "string",
// "name": "string",
// "precision": 2,
// "preview": true,
// "sli_value": 99.99,
// "span_precision": 2,
// "uptime": 99.99
// }
// ],
// "overall": {
// "error_budget_remaining": {
// "7d": 100
// },
// "errors": [
// {
// "error_type": "",
// "error_message": ""
// },
// {
// "error_type": "",
// "error_message": ""
// }
// ],
// "group": "name",
// "history": [
// [
// 1579212382,
// 0
// ]
// ],
// "monitor_modified": 1615867200,
// "monitor_type": "string",
// "name": "string",
// "precision": {
// "30d": 1,
// "7d": 2
// },
// "preview": true,
// "sli_value": 99.99,
// "span_precision": 2,
// "uptime": 99.99
// },
// "series": {
// "res_type": "",
// "interval": 0,
// "resp_version": 0,
// "query": "",
// "times": [
// ],
// "numerator": {
// "count": 0,
// "sum": 0,
// "metadata": {}
// },
// "denominator": {
// "count": 0,
// "sum": 0,
// "metadata": {}
// },
// "message": ""
// },
// "thresholds": {
// "my_service": {
// "target": 95,
// "timeframe": "7d"
// }
// },
// "to_ts": 1615928790,
// "type": "metric",
// "type_id": 0
// },
// "errors": [
// {
// "error": "ullamco pariatur"
// },
// {
// "error": "aliquip anim do laborum commodo"
// }
// ]
// }
// Sample code for parsing the JSON response...
// Use this online tool to generate parsing code from sample JSON: Generate JSON Parsing Code
var strVal: String?
var error_budget_remaining7d: Int
var group: String?
var monitor_modified: Int
var monitor_type: String?
var name: String?
var precision: Int
var preview: Bool
var sli_value: String?
var span_precision: Int
var uptime: String?
var j: Int
var count_j: Int
var error_type: String?
var error_message: String?
var k: Int
var count_k: Int
var intVal: Int
var error: String?
var From_ts: Int = jResp.int(of: "data.from_ts").intValue
var v_7d: Int = jResp.int(of: "data.overall.error_budget_remaining.7d").intValue
var Group: String? = jResp.string(of: "data.overall.group")
var Monitor_modified: Int = jResp.int(of: "data.overall.monitor_modified").intValue
var Monitor_type: String? = jResp.string(of: "data.overall.monitor_type")
var Name: String? = jResp.string(of: "data.overall.name")
var v_30d: Int = jResp.int(of: "data.overall.precision.30d").intValue
var Precision7d: Int = jResp.int(of: "data.overall.precision.7d").intValue
var Preview: Bool = jResp.bool(of: "data.overall.preview")
var Sli_value: String? = jResp.string(of: "data.overall.sli_value")
var Span_precision: Int = jResp.int(of: "data.overall.span_precision").intValue
var Uptime: String? = jResp.string(of: "data.overall.uptime")
var Res_type: String? = jResp.string(of: "data.series.res_type")
var Interval: Int = jResp.int(of: "data.series.interval").intValue
var Resp_version: Int = jResp.int(of: "data.series.resp_version").intValue
var Query: String? = jResp.string(of: "data.series.query")
var Count: Int = jResp.int(of: "data.series.numerator.count").intValue
var Sum: Int = jResp.int(of: "data.series.numerator.sum").intValue
var DenominatorCount: Int = jResp.int(of: "data.series.denominator.count").intValue
var DenominatorSum: Int = jResp.int(of: "data.series.denominator.sum").intValue
var Message: String? = jResp.string(of: "data.series.message")
var Target: Int = jResp.int(of: "data.thresholds.my_service.target").intValue
var Timeframe: String? = jResp.string(of: "data.thresholds.my_service.timeframe")
var To_ts: Int = jResp.int(of: "data.to_ts").intValue
var v_Type: String? = jResp.string(of: "data.type")
var Type_id: Int = jResp.int(of: "data.type_id").intValue
var i: Int = 0
var count_i: Int = jResp.size(ofArray: "data.group_by").intValue
while i < count_i {
jResp.i = i
strVal = jResp.string(of: "data.group_by[i]")
i = i + 1
}
i = 0
count_i = jResp.size(ofArray: "data.groups").intValue
while i < count_i {
jResp.i = i
error_budget_remaining7d = jResp.int(of: "data.groups[i].error_budget_remaining.7d").intValue
group = jResp.string(of: "data.groups[i].group")
monitor_modified = jResp.int(of: "data.groups[i].monitor_modified").intValue
monitor_type = jResp.string(of: "data.groups[i].monitor_type")
name = jResp.string(of: "data.groups[i].name")
precision = jResp.int(of: "data.groups[i].precision").intValue
preview = jResp.bool(of: "data.groups[i].preview")
sli_value = jResp.string(of: "data.groups[i].sli_value")
span_precision = jResp.int(of: "data.groups[i].span_precision").intValue
uptime = jResp.string(of: "data.groups[i].uptime")
j = 0
count_j = jResp.size(ofArray: "data.groups[i].errors").intValue
while j < count_j {
jResp.j = j
error_type = jResp.string(of: "data.groups[i].errors[j].error_type")
error_message = jResp.string(of: "data.groups[i].errors[j].error_message")
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "data.groups[i].history").intValue
while j < count_j {
jResp.j = j
k = 0
count_k = jResp.size(ofArray: "data.groups[i].history[j]").intValue
while k < count_k {
jResp.k = k
intVal = jResp.int(of: "data.groups[i].history[j][k]").intValue
k = k + 1
}
j = j + 1
}
i = i + 1
}
i = 0
count_i = jResp.size(ofArray: "data.monitors").intValue
while i < count_i {
jResp.i = i
error_budget_remaining7d = jResp.int(of: "data.monitors[i].error_budget_remaining.7d").intValue
group = jResp.string(of: "data.monitors[i].group")
monitor_modified = jResp.int(of: "data.monitors[i].monitor_modified").intValue
monitor_type = jResp.string(of: "data.monitors[i].monitor_type")
name = jResp.string(of: "data.monitors[i].name")
precision = jResp.int(of: "data.monitors[i].precision").intValue
preview = jResp.bool(of: "data.monitors[i].preview")
sli_value = jResp.string(of: "data.monitors[i].sli_value")
span_precision = jResp.int(of: "data.monitors[i].span_precision").intValue
uptime = jResp.string(of: "data.monitors[i].uptime")
j = 0
count_j = jResp.size(ofArray: "data.monitors[i].errors").intValue
while j < count_j {
jResp.j = j
error_type = jResp.string(of: "data.monitors[i].errors[j].error_type")
error_message = jResp.string(of: "data.monitors[i].errors[j].error_message")
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "data.monitors[i].history").intValue
while j < count_j {
jResp.j = j
k = 0
count_k = jResp.size(ofArray: "data.monitors[i].history[j]").intValue
while k < count_k {
jResp.k = k
intVal = jResp.int(of: "data.monitors[i].history[j][k]").intValue
k = k + 1
}
j = j + 1
}
i = i + 1
}
i = 0
count_i = jResp.size(ofArray: "data.overall.errors").intValue
while i < count_i {
jResp.i = i
error_type = jResp.string(of: "data.overall.errors[i].error_type")
error_message = jResp.string(of: "data.overall.errors[i].error_message")
i = i + 1
}
i = 0
count_i = jResp.size(ofArray: "data.overall.history").intValue
while i < count_i {
jResp.i = i
j = 0
count_j = jResp.size(ofArray: "data.overall.history[i]").intValue
while j < count_j {
jResp.j = j
intVal = jResp.int(of: "data.overall.history[i][j]").intValue
j = j + 1
}
i = i + 1
}
i = 0
count_i = jResp.size(ofArray: "data.series.times").intValue
while i < count_i {
jResp.i = i
i = i + 1
}
i = 0
count_i = jResp.size(ofArray: "errors").intValue
while i < count_i {
jResp.i = i
error = jResp.string(of: "errors[i].error")
i = i + 1
}
}
Curl Command
curl -G -d "from_ts=-62147425"
-d "to_ts=-62147425"
-d "target=49.34019051965387"
-d "apply_correction=true"
-H "Accept: application/json"
https://api.app.ddog-gov.com/api/v1/slo/:slo_id/history
Postman Collection Item JSON
{
"name": "Get an SLO's history",
"request": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/slo/:slo_id/history?from_ts=-62147425&to_ts=-62147425&target=49.34019051965387&apply_correction=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"slo",
":slo_id",
"history"
],
"query": [
{
"key": "from_ts",
"value": "-62147425",
"description": "(Required) The `from` timestamp for the query window in epoch seconds."
},
{
"key": "to_ts",
"value": "-62147425",
"description": "(Required) The `to` timestamp for the query window in epoch seconds."
},
{
"key": "target",
"value": "49.34019051965387",
"description": "The SLO target. If `target` is passed in, the response will include the remaining error budget and a timeframe value of `custom`."
},
{
"key": "apply_correction",
"value": "true",
"description": "Defaults to `true`. If any SLO corrections are applied and this parameter is set to `false`,\nthen the corrections will not be applied and the SLI values will not be affected."
}
],
"variable": [
{
"key": "slo_id",
"value": "tempor Ut sed velit"
}
]
},
"description": "Get a specific SLO’s history, regardless of its SLO type.\n\nThe detailed history data is structured according to the source data type.\nFor example, metric data is included for event SLOs that use\nthe metric source, and monitor SLO types include the monitor transition history.\n\n**Note:** There are different response formats for event based and time based SLOs.\nExamples of both are shown."
},
"response": [
{
"name": "OK",
"originalRequest": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/slo/:slo_id/history?from_ts=-62147425&to_ts=-62147425&target=49.34019051965387&apply_correction=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"slo",
":slo_id",
"history"
],
"query": [
{
"key": "from_ts",
"value": "-62147425",
"description": "(Required) The `from` timestamp for the query window in epoch seconds."
},
{
"key": "to_ts",
"value": "-62147425",
"description": "(Required) The `to` timestamp for the query window in epoch seconds."
},
{
"key": "target",
"value": "49.34019051965387",
"description": "The SLO target. If `target` is passed in, the response will include the remaining error budget and a timeframe value of `custom`."
},
{
"key": "apply_correction",
"value": "true",
"description": "Defaults to `true`. If any SLO corrections are applied and this parameter is set to `false`,\nthen the corrections will not be applied and the SLI values will not be affected."
}
],
"variable": [
{
"key": "slo_id"
}
]
}
},
"status": "OK",
"code": 200,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"cookie": [
],
"body": "{\n \"data\": {\n \"from_ts\": 1615323990,\n \"group_by\": [\n \"aliqua pariatur\",\n \"labor\"\n ],\n \"groups\": [\n {\n \"error_budget_remaining\": {\n \"7d\": 100\n },\n \"errors\": [\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n },\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n }\n ],\n \"group\": \"name\",\n \"history\": [\n [\n 1579212382,\n 0\n ]\n ],\n \"monitor_modified\": 1615867200,\n \"monitor_type\": \"string\",\n \"name\": \"string\",\n \"precision\": 2,\n \"preview\": true,\n \"sli_value\": 99.99,\n \"span_precision\": 2,\n \"uptime\": 99.99\n },\n {\n \"error_budget_remaining\": {\n \"7d\": 100\n },\n \"errors\": [\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n },\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n }\n ],\n \"group\": \"name\",\n \"history\": [\n [\n 1579212382,\n 0\n ]\n ],\n \"monitor_modified\": 1615867200,\n \"monitor_type\": \"string\",\n \"name\": \"string\",\n \"precision\": 2,\n \"preview\": true,\n \"sli_value\": 99.99,\n \"span_precision\": 2,\n \"uptime\": 99.99\n }\n ],\n \"monitors\": [\n {\n \"error_budget_remaining\": {\n \"7d\": 100\n },\n \"errors\": [\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n },\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n }\n ],\n \"group\": \"name\",\n \"history\": [\n [\n 1579212382,\n 0\n ]\n ],\n \"monitor_modified\": 1615867200,\n \"monitor_type\": \"string\",\n \"name\": \"string\",\n \"precision\": 2,\n \"preview\": true,\n \"sli_value\": 99.99,\n \"span_precision\": 2,\n \"uptime\": 99.99\n },\n {\n \"error_budget_remaining\": {\n \"7d\": 100\n },\n \"errors\": [\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n },\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n }\n ],\n \"group\": \"name\",\n \"history\": [\n [\n 1579212382,\n 0\n ]\n ],\n \"monitor_modified\": 1615867200,\n \"monitor_type\": \"string\",\n \"name\": \"string\",\n \"precision\": 2,\n \"preview\": true,\n \"sli_value\": 99.99,\n \"span_precision\": 2,\n \"uptime\": 99.99\n }\n ],\n \"overall\": {\n \"error_budget_remaining\": {\n \"7d\": 100\n },\n \"errors\": [\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n },\n {\n \"error_type\": \"\",\n \"error_message\": \"\"\n }\n ],\n \"group\": \"name\",\n \"history\": [\n [\n 1579212382,\n 0\n ]\n ],\n \"monitor_modified\": 1615867200,\n \"monitor_type\": \"string\",\n \"name\": \"string\",\n \"precision\": {\n \"30d\": 1,\n \"7d\": 2\n },\n \"preview\": true,\n \"sli_value\": 99.99,\n \"span_precision\": 2,\n \"uptime\": 99.99\n },\n \"series\": {\n \"res_type\": \"\",\n \"interval\": 0,\n \"resp_version\": 0,\n \"query\": \"\",\n \"times\": [],\n \"numerator\": {\n \"count\": 0,\n \"sum\": 0,\n \"metadata\": {}\n },\n \"denominator\": {\n \"count\": 0,\n \"sum\": 0,\n \"metadata\": {}\n },\n \"message\": \"\"\n },\n \"thresholds\": {\n \"my_service\": {\n \"target\": 95,\n \"timeframe\": \"7d\"\n }\n },\n \"to_ts\": 1615928790,\n \"type\": \"metric\",\n \"type_id\": 0\n },\n \"errors\": [\n {\n \"error\": \"ullamco pariatur\"\n },\n {\n \"error\": \"aliquip anim do laborum commodo\"\n }\n ]\n}"
},
{
"name": "Bad Request",
"originalRequest": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/slo/:slo_id/history?from_ts=-62147425&to_ts=-62147425&target=49.34019051965387&apply_correction=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"slo",
":slo_id",
"history"
],
"query": [
{
"key": "from_ts",
"value": "-62147425",
"description": "(Required) The `from` timestamp for the query window in epoch seconds."
},
{
"key": "to_ts",
"value": "-62147425",
"description": "(Required) The `to` timestamp for the query window in epoch seconds."
},
{
"key": "target",
"value": "49.34019051965387",
"description": "The SLO target. If `target` is passed in, the response will include the remaining error budget and a timeframe value of `custom`."
},
{
"key": "apply_correction",
"value": "true",
"description": "Defaults to `true`. If any SLO corrections are applied and this parameter is set to `false`,\nthen the corrections will not be applied and the SLI values will not be affected."
}
],
"variable": [
{
"key": "slo_id"
}
]
}
},
"status": "Bad Request",
"code": 400,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"cookie": [
],
"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
},
{
"name": "Forbidden",
"originalRequest": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/slo/:slo_id/history?from_ts=-62147425&to_ts=-62147425&target=49.34019051965387&apply_correction=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"slo",
":slo_id",
"history"
],
"query": [
{
"key": "from_ts",
"value": "-62147425",
"description": "(Required) The `from` timestamp for the query window in epoch seconds."
},
{
"key": "to_ts",
"value": "-62147425",
"description": "(Required) The `to` timestamp for the query window in epoch seconds."
},
{
"key": "target",
"value": "49.34019051965387",
"description": "The SLO target. If `target` is passed in, the response will include the remaining error budget and a timeframe value of `custom`."
},
{
"key": "apply_correction",
"value": "true",
"description": "Defaults to `true`. If any SLO corrections are applied and this parameter is set to `false`,\nthen the corrections will not be applied and the SLI values will not be affected."
}
],
"variable": [
{
"key": "slo_id"
}
]
}
},
"status": "Forbidden",
"code": 403,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"cookie": [
],
"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
},
{
"name": "Not Found",
"originalRequest": {
"method": "GET",
"header": [
{
"key": "Accept",
"value": "application/json"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/slo/:slo_id/history?from_ts=-62147425&to_ts=-62147425&target=49.34019051965387&apply_correction=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"slo",
":slo_id",
"history"
],
"query": [
{
"key": "from_ts",
"value": "-62147425",
"description": "(Required) The `from` timestamp for the query window in epoch seconds."
},
{
"key": "to_ts",
"value": "-62147425",
"description": "(Required) The `to` timestamp for the query window in epoch seconds."
},
{
"key": "target",
"value": "49.34019051965387",
"description": "The SLO target. If `target` is passed in, the response will include the remaining error budget and a timeframe value of `custom`."
},
{
"key": "apply_correction",
"value": "true",
"description": "Defaults to `true`. If any SLO corrections are applied and this parameter is set to `false`,\nthen the corrections will not be applied and the SLI values will not be affected."
}
],
"variable": [
{
"key": "slo_id"
}
]
}
},
"status": "Not Found",
"code": 404,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"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"
},
{
"description": "Added as a part of security scheme: apikey",
"key": "DD-API-KEY",
"value": "<API Key>"
}
],
"url": {
"raw": "{{baseUrl}}/api/v1/slo/:slo_id/history?from_ts=-62147425&to_ts=-62147425&target=49.34019051965387&apply_correction=true",
"host": [
"{{baseUrl}}"
],
"path": [
"api",
"v1",
"slo",
":slo_id",
"history"
],
"query": [
{
"key": "from_ts",
"value": "-62147425",
"description": "(Required) The `from` timestamp for the query window in epoch seconds."
},
{
"key": "to_ts",
"value": "-62147425",
"description": "(Required) The `to` timestamp for the query window in epoch seconds."
},
{
"key": "target",
"value": "49.34019051965387",
"description": "The SLO target. If `target` is passed in, the response will include the remaining error budget and a timeframe value of `custom`."
},
{
"key": "apply_correction",
"value": "true",
"description": "Defaults to `true`. If any SLO corrections are applied and this parameter is set to `false`,\nthen the corrections will not be applied and the SLI values will not be affected."
}
],
"variable": [
{
"key": "slo_id"
}
]
}
},
"status": "Too Many Requests",
"code": 429,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"cookie": [
],
"body": "{\n \"errors\": [\n \"Bad Request\",\n \"Bad Request\"\n ]\n}"
}
]
}
