Anomaly Detector v1.1-preview.2
The Anomaly Detector service detects anomalies and trace root causes automatically in time series data. It supports several functionalities:
- Detecting anomalies in single time-series, including entire, last and change point detection. With this univariate anomaly detection capability, business customers can discover incidents and establish a logic flow for root cause analysis.
- Detecting anomalies in multiple time-series. This set of multivariate anomaly detection APIs in Anomaly Detector analyze dependencies and inter-correlation changes between different signals. It enables customers to gather a group of related time-series and detect failures in a system level.
- Indicate root causes that contribute the most on an aggregated anomaly point. Accurate dimension can be drilled down for both one measure and multiple measures. Meaningful interpretation is also provided.
To ensure online service quality is one of the main reasons we developed this service. Our team is dedicated to continuing to improve the Anomaly Detector service to provide precise results.
This Univariate Anomaly Detection is currently available in:
This Multivariate Anomaly Detection is currently available in:
- East US - eastus.api.cognitive.microsoft.com
- East US 2 - eastus2.api.cognitive.microsoft.com
- South Central US - southcentralus.api.cognitive.microsoft.com
- UK South - uksouth.api.cognitive.microsoft.com
- West Europe - westeurope.api.cognitive.microsoft.com
- West US 2 - westus2.api.cognitive.microsoft.com
The Root Cause Analysis is currently available in:
- West US 2 - westus2.api.cognitive.microsoft.com
- Central US EUAP - ameuse2.api.cognitive.microsoft.com
Multivariate Anomaly Detection - Get Multivariate Anomaly Detection Result
Get multivariate anomaly detection result based on resultId returned by the DetectAnomalyAsync api
Select the testing console in the region where you created your resource:
Open API testing consoleRequest URL
Request parameters
string
Format - uuid. Result identifier.
Request headers
string
Subscription key which provides access to this API. Found in your Cognitive Services accounts.
Request body
Response 200
Get Multivariate Anomaly Detection Result by Result Id.
{
"resultId": "ecc7301a-f82a-11eb-85be-9a8be3529ef3",
"summary": {
"status": "READY",
"errors": [],
"variableStates": [
{
"variable": "pumpPressureB",
"filledNARatio": 0,
"effectiveCount": 800,
"startTime": "2020-10-01T13:30:00+00:00",
"endTime": "2020-10-07T02:40:00+00:00",
"errors": []
},
{
"variable": "opticalLFiltered",
"filledNARatio": 0,
"effectiveCount": 800,
"startTime": "2020-10-01T13:30:00+00:00",
"endTime": "2020-10-07T02:40:00+00:00",
"errors": []
},
{
"variable": "rotationalB",
"filledNARatio": 0,
"effectiveCount": 800,
"startTime": "2020-10-01T13:30:00+00:00",
"endTime": "2020-10-07T02:40:00+00:00",
"errors": []
},
{
"variable": "pumpPressureA",
"filledNARatio": 0,
"effectiveCount": 800,
"startTime": "2020-10-01T13:30:00+00:00",
"endTime": "2020-10-07T02:40:00+00:00",
"errors": []
},
{
"variable": "rotationalA",
"filledNARatio": 0,
"effectiveCount": 800,
"startTime": "2020-10-01T13:30:00+00:00",
"endTime": "2020-10-07T02:40:00+00:00",
"errors": []
},
{
"variable": "rotationalC",
"filledNARatio": 0,
"effectiveCount": 800,
"startTime": "2020-10-01T13:30:00+00:00",
"endTime": "2020-10-07T02:40:00+00:00",
"errors": []
},
{
"variable": "pumpPressureTarget",
"filledNARatio": 0,
"effectiveCount": 800,
"startTime": "2020-10-01T13:30:00+00:00",
"endTime": "2020-10-07T02:40:00+00:00",
"errors": []
},
{
"variable": "opticalRFiltered",
"filledNARatio": 0,
"effectiveCount": 800,
"startTime": "2020-10-01T13:30:00+00:00",
"endTime": "2020-10-07T02:40:00+00:00",
"errors": []
}
],
"setupInfo": {
"source": "{your_sas_url}",
"startTime": "2020-10-01T13:30:00+00:00",
"endTime": "2020-10-07T03:00:00+00:00"
}
},
"results": [
{
"timestamp": "2020-10-01T13:30:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.61043906211853,
"variable": "pumpPressureB"
},
{
"contributionScore": 1.50201940536499,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 1.47279524803162,
"variable": "pumpPressureA"
},
{
"contributionScore": 1.28086411952972,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.26200437545776,
"variable": "opticalRFiltered"
},
{
"contributionScore": 0.145197212696075,
"variable": "rotationalB"
},
{
"contributionScore": 0.0366912484169006,
"variable": "rotationalC"
},
{
"contributionScore": 0.026921808719635,
"variable": "rotationalA"
}
],
"isAnomaly": true,
"severity": 0.53374046087265,
"score": 0.917116582393646
},
"errors": []
},
{
"timestamp": "2020-10-01T13:40:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.6928471326828
},
"errors": []
},
{
"timestamp": "2020-10-01T13:50:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.71828174591064,
"variable": "opticalRFiltered"
},
{
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},
{
"contributionScore": 0.954415380954742,
"variable": "rotationalC"
},
{
"contributionScore": 0.95414000749588,
"variable": "rotationalA"
},
{
"contributionScore": 0.922234237194061,
"variable": "rotationalB"
},
{
"contributionScore": 0.835999488830566,
"variable": "pumpPressureB"
},
{
"contributionScore": 0.803776383399963,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 0.753877401351929,
"variable": "pumpPressureA"
}
],
"isAnomaly": true,
"severity": 0.630062997341156,
"score": 1.08262586593628
},
"errors": []
},
{
"timestamp": "2020-10-01T14:00:00+00:00",
"value": {
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{
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"variable": "opticalRFiltered"
},
{
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},
{
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},
{
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{
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{
"contributionScore": 0.925028145313263,
"variable": "rotationalA"
},
{
"contributionScore": 0.894409596920013,
"variable": "rotationalC"
},
{
"contributionScore": 0.882785975933075,
"variable": "rotationalB"
}
],
"isAnomaly": true,
"severity": 0.746253669261932,
"score": 1.28227412700653
},
"errors": []
},
{
"timestamp": "2020-10-01T14:10:00+00:00",
"value": {
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{
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}
],
"isAnomaly": true,
"severity": 0.743921637535095,
"score": 1.27826702594757
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"errors": []
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{
"timestamp": "2020-10-01T14:20:00+00:00",
"value": {
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{
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],
"isAnomaly": true,
"severity": 0.816175222396851,
"score": 1.402419090271
},
"errors": []
},
{
"timestamp": "2020-10-01T14:30:00+00:00",
"value": {
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{
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},
{
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},
{
"contributionScore": 1.71828174591064,
"variable": "pumpPressureA"
},
{
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"variable": "opticalLFiltered"
},
{
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"contributionScore": 0.701506674289703,
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},
{
"contributionScore": 0.610960245132446,
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}
],
"isAnomaly": true,
"severity": 0.754291892051697,
"score": 1.29608607292175
},
"errors": []
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{
"timestamp": "2020-10-01T14:40:00+00:00",
"value": {
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"variable": "rotationalB"
},
{
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}
],
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"severity": 0.690243721008301,
"score": 1.18603324890137
},
"errors": []
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{
"timestamp": "2020-10-01T14:50:00+00:00",
"value": {
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"severity": 0,
"score": 0.780311346054077
},
"errors": []
},
{
"timestamp": "2020-10-01T15:00:00+00:00",
"value": {
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"severity": 0,
"score": 0.768203794956207
},
"errors": []
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{
"timestamp": "2020-10-01T15:10:00+00:00",
"value": {
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{
"timestamp": "2020-10-01T17:10:00+00:00",
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{
"timestamp": "2020-10-01T17:20:00+00:00",
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"timestamp": "2020-10-06T22:30:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.50975394248962,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.50857961177826,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.09052300453186,
"variable": "pumpPressureA"
},
{
"contributionScore": 1.0543714761734,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 1.00908470153809,
"variable": "pumpPressureB"
},
{
"contributionScore": 0.537969410419464,
"variable": "rotationalA"
},
{
"contributionScore": 0.49947601556778,
"variable": "rotationalB"
},
{
"contributionScore": 0.410668253898621,
"variable": "rotationalC"
}
],
"isAnomaly": true,
"severity": 0.554363787174225,
"score": 0.952553272247314
},
"errors": []
},
{
"timestamp": "2020-10-06T22:40:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.63089740276337,
"variable": "pumpPressureA"
},
{
"contributionScore": 1.52675521373749,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.52316510677338,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.50738227367401,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 1.48309695720673,
"variable": "pumpPressureB"
},
{
"contributionScore": 0.543602287769318,
"variable": "rotationalB"
},
{
"contributionScore": 0.488033652305603,
"variable": "rotationalA"
},
{
"contributionScore": 0.410196602344513,
"variable": "rotationalC"
}
],
"isAnomaly": true,
"severity": 0.662953615188599,
"score": 1.13914120197296
},
"errors": []
},
{
"timestamp": "2020-10-06T22:50:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.45923793315887,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.45058786869049,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.20948421955109,
"variable": "pumpPressureA"
},
{
"contributionScore": 1.16038727760315,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 1.11606192588806,
"variable": "pumpPressureB"
},
{
"contributionScore": 0.618335247039795,
"variable": "rotationalA"
},
{
"contributionScore": 0.521771967411041,
"variable": "rotationalC"
},
{
"contributionScore": 0.476334154605865,
"variable": "rotationalB"
}
],
"isAnomaly": true,
"severity": 0.582864284515381,
"score": 1.00152516365051
},
"errors": []
},
{
"timestamp": "2020-10-06T23:00:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.604750692844391
},
"errors": []
},
{
"timestamp": "2020-10-06T23:10:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.618984043598175
},
"errors": []
},
{
"timestamp": "2020-10-06T23:20:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.789168477058411
},
"errors": []
},
{
"timestamp": "2020-10-06T23:30:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.762641310691834
},
"errors": []
},
{
"timestamp": "2020-10-06T23:40:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.67563670873642
},
"errors": []
},
{
"timestamp": "2020-10-06T23:50:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.739004909992218
},
"errors": []
},
{
"timestamp": "2020-10-07T00:00:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.54143309593201,
"variable": "pumpPressureB"
},
{
"contributionScore": 1.44202697277069,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 1.41149747371674,
"variable": "pumpPressureA"
},
{
"contributionScore": 1.15448403358459,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.14539086818695,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.0677524805069,
"variable": "rotationalB"
},
{
"contributionScore": 0.864164233207703,
"variable": "rotationalA"
},
{
"contributionScore": 0.18897020816803,
"variable": "rotationalC"
}
],
"isAnomaly": true,
"severity": 0.641317903995514,
"score": 1.10196495056152
},
"errors": []
},
{
"timestamp": "2020-10-07T00:10:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.655115723609924
},
"errors": []
},
{
"timestamp": "2020-10-07T00:20:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.53873109817505,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.53088235855103,
"variable": "opticalLFiltered"
},
{
"contributionScore": 0.963092565536499,
"variable": "rotationalA"
},
{
"contributionScore": 0.94841855764389,
"variable": "rotationalB"
},
{
"contributionScore": 0.929843187332153,
"variable": "rotationalC"
},
{
"contributionScore": 0.850527465343475,
"variable": "pumpPressureB"
},
{
"contributionScore": 0.82359778881073,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 0.755865275859833,
"variable": "pumpPressureA"
}
],
"isAnomaly": true,
"severity": 0.606780409812927,
"score": 1.04261982440948
},
"errors": []
},
{
"timestamp": "2020-10-07T00:30:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.43885350227356,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.41373133659363,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.34981334209442,
"variable": "rotationalB"
},
{
"contributionScore": 1.13544535636902,
"variable": "rotationalA"
},
{
"contributionScore": 1.10791659355164,
"variable": "rotationalC"
},
{
"contributionScore": 0.918012082576752,
"variable": "pumpPressureB"
},
{
"contributionScore": 0.882998406887054,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 0.818385481834412,
"variable": "pumpPressureA"
}
],
"isAnomaly": true,
"severity": 0.65946364402771,
"score": 1.13314437866211
},
"errors": []
},
{
"timestamp": "2020-10-07T00:40:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.43222713470459,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.40679109096527,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.08773064613342,
"variable": "rotationalA"
},
{
"contributionScore": 1.00072205066681,
"variable": "rotationalB"
},
{
"contributionScore": 0.990754961967468,
"variable": "rotationalC"
},
{
"contributionScore": 0.887106835842133,
"variable": "pumpPressureB"
},
{
"contributionScore": 0.82485431432724,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 0.730225265026093,
"variable": "pumpPressureA"
}
],
"isAnomaly": true,
"severity": 0.608195662498474,
"score": 1.04505157470703
},
"errors": []
},
{
"timestamp": "2020-10-07T00:50:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.66975378990173,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.65485417842865,
"variable": "opticalLFiltered"
},
{
"contributionScore": 0.973448932170868,
"variable": "rotationalA"
},
{
"contributionScore": 0.944782733917236,
"variable": "rotationalC"
},
{
"contributionScore": 0.930109739303589,
"variable": "pumpPressureA"
},
{
"contributionScore": 0.917853355407715,
"variable": "rotationalB"
},
{
"contributionScore": 0.882364332675934,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 0.86512964963913,
"variable": "pumpPressureB"
}
],
"isAnomaly": true,
"severity": 0.642960369586945,
"score": 1.10478711128235
},
"errors": []
},
{
"timestamp": "2020-10-07T01:00:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.55531477928162,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.55442142486572,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.03586196899414,
"variable": "pumpPressureA"
},
{
"contributionScore": 1.00351059436798,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 0.956212818622589,
"variable": "pumpPressureB"
},
{
"contributionScore": 0.554345905780792,
"variable": "rotationalB"
},
{
"contributionScore": 0.444244623184204,
"variable": "rotationalA"
},
{
"contributionScore": 0.360645830631256,
"variable": "rotationalC"
}
],
"isAnomaly": true,
"severity": 0.543024837970734,
"score": 0.93306976556778
},
"errors": []
},
{
"timestamp": "2020-10-07T01:10:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.665822863578796
},
"errors": []
},
{
"timestamp": "2020-10-07T01:20:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.807602822780609
},
"errors": []
},
{
"timestamp": "2020-10-07T01:30:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.67798376083374
},
"errors": []
},
{
"timestamp": "2020-10-07T01:40:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.28367340564728,
"variable": "pumpPressureA"
},
{
"contributionScore": 1.2707906961441,
"variable": "opticalRFiltered"
},
{
"contributionScore": 1.25065171718597,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.22371697425842,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 1.18233847618103,
"variable": "pumpPressureB"
},
{
"contributionScore": 0.354886174201965,
"variable": "rotationalA"
},
{
"contributionScore": 0.310178399085999,
"variable": "rotationalB"
},
{
"contributionScore": 0.255164623260498,
"variable": "rotationalC"
}
],
"isAnomaly": true,
"severity": 0.518788635730743,
"score": 0.89142507314682
},
"errors": []
},
{
"timestamp": "2020-10-07T01:50:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.66692864894867,
"variable": "pumpPressureA"
},
{
"contributionScore": 1.56824791431427,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 1.52833008766174,
"variable": "pumpPressureB"
},
{
"contributionScore": 1.13032364845276,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.1150496006012,
"variable": "opticalRFiltered"
},
{
"contributionScore": 0.304964244365692,
"variable": "rotationalA"
},
{
"contributionScore": 0.248347938060761,
"variable": "rotationalC"
},
{
"contributionScore": 0.237048327922821,
"variable": "rotationalB"
}
],
"isAnomaly": true,
"severity": 0.567372024059296,
"score": 0.974905073642731
},
"errors": []
},
{
"timestamp": "2020-10-07T02:00:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.760913968086243
},
"errors": []
},
{
"timestamp": "2020-10-07T02:10:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.770710229873657
},
"errors": []
},
{
"timestamp": "2020-10-07T02:20:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.777536749839783
},
"errors": []
},
{
"timestamp": "2020-10-07T02:30:00+00:00",
"value": {
"isAnomaly": false,
"severity": 0,
"score": 0.566492974758148
},
"errors": []
},
{
"timestamp": "2020-10-07T02:40:00+00:00",
"value": {
"contributors": [
{
"contributionScore": 1.34695959091187,
"variable": "pumpPressureB"
},
{
"contributionScore": 1.26293706893921,
"variable": "pumpPressureTarget"
},
{
"contributionScore": 1.24858772754669,
"variable": "pumpPressureA"
},
{
"contributionScore": 1.05506408214569,
"variable": "opticalLFiltered"
},
{
"contributionScore": 1.02516973018646,
"variable": "opticalRFiltered"
},
{
"contributionScore": 0.908318281173706,
"variable": "rotationalC"
},
{
"contributionScore": 0.196560263633728,
"variable": "rotationalA"
},
{
"contributionScore": 0.145948469638824,
"variable": "rotationalB"
}
],
"isAnomaly": true,
"severity": 0.523018479347229,
"score": 0.898693144321442
},
"errors": []
}
]
}{
"description": "Response of the given resultId.",
"required": [
"resultId",
"results",
"summary"
],
"type": "object",
"properties": {
"resultId": {
"format": "uuid",
"type": "string",
"example": "45aad126-aafd-11ea-b8fb-d89ef3400c5f"
},
"summary": {
"required": [
"setupInfo",
"status"
],
"type": "object",
"properties": {
"status": {
"description": "Status of detection results. One of CREATED, RUNNING, READY, and FAILED.",
"enum": [
"CREATED",
"RUNNING",
"READY",
"FAILED"
],
"type": "string",
"example": "READY",
"x-ms-enum": {
"name": "DetectionStatus",
"modelAsString": false
}
},
"errors": {
"description": "Error message when detection is failed.",
"type": "array",
"items": {
"required": [
"code",
"message"
],
"type": "object",
"properties": {
"code": {
"description": "The error code.",
"type": "string"
},
"message": {
"description": "The message explaining the error reported by the service.",
"type": "string"
}
}
}
},
"variableStates": {
"type": "array",
"items": {
"type": "object",
"properties": {
"variable": {
"description": "Variable name.",
"type": "string"
},
"filledNARatio": {
"description": "Proportion of NaN values filled of the variable.",
"maximum": 1,
"minimum": 0,
"type": "number"
},
"effectiveCount": {
"description": "Number of effective points counted.",
"type": "integer"
},
"startTime": {
"format": "date-time",
"description": "Start time of the variable.",
"type": "string"
},
"endTime": {
"format": "date-time",
"description": "End time of the variable.",
"type": "string"
}
}
},
"example": [
{
"variable": "ad_input",
"filledNARatio": 0,
"effectiveCount": 26,
"startTime": "2019-04-01T00:00:00Z",
"endTime": "2019-04-01T00:25:00Z",
"errors": []
},
{
"variable": "ad_on_timer_output",
"filledNARatio": 0,
"effectiveCount": 26,
"startTime": "2019-04-01T00:00:00Z",
"endTime": "2019-04-01T00:25:00Z",
"errors": []
},
{
"variable": "ad_output",
"filledNARatio": 0,
"effectiveCount": 26,
"startTime": "2019-04-01T00:00:00Z",
"endTime": "2019-04-01T00:25:00Z",
"errors": []
},
{
"variable": "ad_series_init",
"filledNARatio": 0,
"effectiveCount": 26,
"startTime": "2019-04-01T00:00:00Z",
"endTime": "2019-04-01T00:25:00Z",
"errors": []
},
{
"variable": "cpu",
"filledNARatio": 0,
"effectiveCount": 26,
"startTime": "2019-04-01T00:00:00Z",
"endTime": "2019-04-01T00:25:00Z",
"errors": []
},
{
"variable": "data_in_speed",
"filledNARatio": 0,
"effectiveCount": 26,
"startTime": "2019-04-01T00:00:00Z",
"endTime": "2019-04-01T00:25:00Z",
"errors": []
},
{
"variable": "data_out_speed",
"filledNARatio": 0,
"effectiveCount": 26,
"startTime": "2019-04-01T00:00:00Z",
"endTime": "2019-04-01T00:25:00Z",
"errors": []
},
{
"variable": "last_check_point_duration",
"filledNARatio": 0,
"effectiveCount": 26,
"startTime": "2019-04-01T00:00:00Z",
"endTime": "2019-04-01T00:25:00Z",
"errors": []
},
{
"variable": "ingestion",
"filledNARatio": 0,
"effectiveCount": 26,
"startTime": "2019-04-01T00:00:00Z",
"endTime": "2019-04-01T00:25:00Z",
"errors": []
}
]
},
"setupInfo": {
"description": "Detection request.",
"required": [
"source",
"endTime",
"startTime"
],
"type": "object",
"properties": {
"source": {
"description": "Source link to the input variables. Each variable should be a csv with two columns, `timestamp` and `value`. The file name of the variable will be used as its name. The variables used in detection should be exactly the same with those used in the training phase.",
"type": "string",
"example": "{your_sas_url}"
},
"startTime": {
"format": "date-time",
"description": "A required field, indicating the start time of data for detection. Should be date-time.",
"type": "string",
"example": "2019-04-01T00:15:00Z"
},
"endTime": {
"format": "date-time",
"description": "A required field, indicating the end time of data for detection. Should be date-time.",
"type": "string",
"example": "2019-04-01T00:40:00Z"
}
},
"example": "{\r\n \"source\": \"{your_sas_url}\",\r\n \"startTime\": \"2020-10-01T13:30:00+00:00\",\r\n \"endTime\": \"2020-10-07T03:00:00+00:00\"\r\n}"
}
}
},
"results": {
"description": "Detection result for each timestamp.",
"type": "array",
"items": {
"required": [
"timestamp"
],
"type": "object",
"properties": {
"timestamp": {
"format": "date-time",
"description": "timestamp",
"type": "string",
"example": "2020-01-01T00:00:00Z"
},
"value": {
"required": [
"isAnomaly",
"score",
"severity"
],
"type": "object",
"properties": {
"isAnomaly": {
"description": "True if an anomaly is detected at the current timestamp.",
"type": "boolean",
"example": true
},
"severity": {
"description": "Indicates the significance of the anomaly. The higher the severity, the more significant the anomaly.",
"maximum": 1,
"minimum": 0,
"type": "number",
"example": 0.8
},
"score": {
"description": "Raw score from the model.",
"maximum": 2,
"minimum": 0,
"type": "number",
"example": 0.3
},
"interpretation": {
"type": "array",
"items": {
"type": "object",
"properties": {
"variable": {
"type": "string"
},
"contributionScore": {
"type": "number"
},
"correlationChanges": {
"type": "object",
"properties": {
"changedVariables": {
"description": "correlated variables",
"type": "array",
"items": {
"type": "string"
}
},
"changedValues": {
"description": "changes in correlation",
"type": "array",
"items": {
"type": "number"
}
}
}
}
}
}
}
}
},
"errors": {
"description": "Error message for the current timestamp",
"type": "array",
"items": {
"required": [
"code",
"message"
],
"type": "object",
"properties": {
"code": {
"description": "The error code.",
"type": "string"
},
"message": {
"description": "The message explaining the error reported by the service.",
"type": "string"
}
}
}
}
}
}
}
}
}Response 400
Possible Errors:
- ResultNotExist
The result does not exist.
{
"code": "ResultNotExist",
"message": "The result does not exist."
}{
"required": [
"code",
"message"
],
"type": "object",
"properties": {
"code": {
"description": "The error code.",
"type": "string"
},
"message": {
"description": "The message explaining the error reported by the service.",
"type": "string"
}
}
}Response 403
The certificate you provided is not accepted by server.
Response 405
Method Not Allowed.
Response 500
Internal Server Error.
Code samples
@ECHO OFF
curl -v -X GET "https://*.cognitiveservices.azure.com/anomalydetector/v1.1-preview.2/multivariate/results/{resultId}"
-H "Ocp-Apim-Subscription-Key: {subscription key}"
--data-ascii "{body}"
using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;
namespace CSHttpClientSample
{
static class Program
{
static void Main()
{
MakeRequest();
Console.WriteLine("Hit ENTER to exit...");
Console.ReadLine();
}
static async void MakeRequest()
{
var client = new HttpClient();
var queryString = HttpUtility.ParseQueryString(string.Empty);
// Request headers
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");
var uri = "https://*.cognitiveservices.azure.com/anomalydetector/v1.1-preview.2/multivariate/results/{resultId}?" + queryString;
var response = await client.GetAsync(uri);
}
}
} // // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;
public class JavaSample
{
public static void main(String[] args)
{
HttpClient httpclient = HttpClients.createDefault();
try
{
URIBuilder builder = new URIBuilder("https://*.cognitiveservices.azure.com/anomalydetector/v1.1-preview.2/multivariate/results/{resultId}");
URI uri = builder.build();
HttpGet request = new HttpGet(uri);
request.setHeader("Ocp-Apim-Subscription-Key", "{subscription key}");
// Request body
StringEntity reqEntity = new StringEntity("{body}");
request.setEntity(reqEntity);
HttpResponse response = httpclient.execute(request);
HttpEntity entity = response.getEntity();
if (entity != null)
{
System.out.println(EntityUtils.toString(entity));
}
}
catch (Exception e)
{
System.out.println(e.getMessage());
}
}
}
<!DOCTYPE html>
<html>
<head>
<title>JSSample</title>
<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>
<script type="text/javascript">
$(function() {
var params = {
// Request parameters
};
$.ajax({
url: "https://*.cognitiveservices.azure.com/anomalydetector/v1.1-preview.2/multivariate/results/{resultId}?" + $.param(params),
beforeSend: function(xhrObj){
// Request headers
xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key","{subscription key}");
},
type: "GET",
// Request body
data: "{body}",
})
.done(function(data) {
alert("success");
})
.fail(function() {
alert("error");
});
});
</script>
</body>
</html>
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[])
{
NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
NSString* path = @"https://*.cognitiveservices.azure.com/anomalydetector/v1.1-preview.2/multivariate/results/{resultId}";
NSArray* array = @[
// Request parameters
@"entities=true",
];
NSString* string = [array componentsJoinedByString:@"&"];
path = [path stringByAppendingFormat:@"?%@", string];
NSLog(@"%@", path);
NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
[_request setHTTPMethod:@"GET"];
// Request headers
[_request setValue:@"{subscription key}" forHTTPHeaderField:@"Ocp-Apim-Subscription-Key"];
// Request body
[_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
NSURLResponse *response = nil;
NSError *error = nil;
NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];
if (nil != error)
{
NSLog(@"Error: %@", error);
}
else
{
NSError* error = nil;
NSMutableDictionary* json = nil;
NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
NSLog(@"%@", dataString);
if (nil != _connectionData)
{
json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
}
if (error || !json)
{
NSLog(@"Could not parse loaded json with error:%@", error);
}
NSLog(@"%@", json);
_connectionData = nil;
}
[pool drain];
return 0;
}
<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';
$request = new Http_Request2('https://*.cognitiveservices.azure.com/anomalydetector/v1.1-preview.2/multivariate/results/{resultId}');
$url = $request->getUrl();
$headers = array(
// Request headers
'Ocp-Apim-Subscription-Key' => '{subscription key}',
);
$request->setHeader($headers);
$parameters = array(
// Request parameters
);
$url->setQueryVariables($parameters);
$request->setMethod(HTTP_Request2::METHOD_GET);
// Request body
$request->setBody("{body}");
try
{
$response = $request->send();
echo $response->getBody();
}
catch (HttpException $ex)
{
echo $ex;
}
?>########### Python 2.7 #############
import httplib, urllib, base64
headers = {
# Request headers
'Ocp-Apim-Subscription-Key': '{subscription key}',
}
params = urllib.urlencode({
})
try:
conn = httplib.HTTPSConnection('*.cognitiveservices.azure.com')
conn.request("GET", "/anomalydetector/v1.1-preview.2/multivariate/results/{resultId}?%s" % params, "{body}", headers)
response = conn.getresponse()
data = response.read()
print(data)
conn.close()
except Exception as e:
print("[Errno {0}] {1}".format(e.errno, e.strerror))
####################################
########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64
headers = {
# Request headers
'Ocp-Apim-Subscription-Key': '{subscription key}',
}
params = urllib.parse.urlencode({
})
try:
conn = http.client.HTTPSConnection('*.cognitiveservices.azure.com')
conn.request("GET", "/anomalydetector/v1.1-preview.2/multivariate/results/{resultId}?%s" % params, "{body}", headers)
response = conn.getresponse()
data = response.read()
print(data)
conn.close()
except Exception as e:
print("[Errno {0}] {1}".format(e.errno, e.strerror))
####################################require 'net/http'
uri = URI('https://*.cognitiveservices.azure.com/anomalydetector/v1.1-preview.2/multivariate/results/{resultId}')
request = Net::HTTP::Get.new(uri.request_uri)
# Request headers
request['Ocp-Apim-Subscription-Key'] = '{subscription key}'
# Request body
request.body = "{body}"
response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
http.request(request)
end
puts response.body