Anomaly Finder Client

azure · Cloud

Cloud No Auth Free & Open cloud Sandbox

The Anomaly Finder API detects anomalies automatically in time series data. It supports two functionalities, one is for detecting the whole series with model trained by the timeseries, another is detecting last point with model trained by points before. By using this service, business customers can discover incidents and establish a logic flow for root cause analysis.

Authentication

No authentication requiredFree to use with no key needed.

Sample Requests

POST Find anomalies for the entire series in batch.

The operation will generate a model using the entire series, each point will be detected with the same model. In this method, points before and after a certain point will be used to determine whether it's an anomaly. The entire detection can give user an overall status of the time series.

https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/entire/detect

Hover any highlighted part to learn what it does

curl -X POST "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/entire/detect"

import requests
response = requests.post(
    "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/entire/detect",
)
print(response.json())

const url = 'https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/entire/detect';

const response = await fetch(url, {
  method: 'POST',
}); 
const data = await response.json();
console.log(data);

package main

import (
	"fmt"
	"io"
	"net/http"
)

func main() {
	targetURL := "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/entire/detect"
	req, _ := http.NewRequest("POST", targetURL, nil)

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()
	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}

require "net/http"
require "json"

uri = URI("https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/entire/detect")

http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"

req = Net::HTTP::Post.new(uri)

res = http.request(req)
puts JSON.parse(res.body)

<?php
$url = "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/entire/detect";
$opts = ["http" => [
    "method" => "POST",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));

POST Detect anomaly status of the latest point in time series.

The operation will generate a model using points before the latest one, In this method, only history points are used for determine whether the target point is an anomaly. Latest point detecting matches the scenario of real-time monitoring of business metrics.

https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/last/detect

Hover any highlighted part to learn what it does

curl -X POST "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/last/detect"

import requests
response = requests.post(
    "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/last/detect",
)
print(response.json())

const url = 'https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/last/detect';

const response = await fetch(url, {
  method: 'POST',
}); 
const data = await response.json();
console.log(data);

package main

import (
	"fmt"
	"io"
	"net/http"
)

func main() {
	targetURL := "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/last/detect"
	req, _ := http.NewRequest("POST", targetURL, nil)

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()
	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}

require "net/http"
require "json"

uri = URI("https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/last/detect")

http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"

req = Net::HTTP::Post.new(uri)

res = http.request(req)
puts JSON.parse(res.body)

<?php
$url = "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-AnomalyFinder/2.0/timeseries/last/detect";
$opts = ["http" => [
    "method" => "POST",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));

Postman Setup Guide

Get Postman ↗

See official documentation for authentication and setup.

What can you build with Anomaly Finder Client?

Anomaly Finder Client is a Cloud API. Developers commonly use cloud APIs for:

provisioning and managing cloud infrastructure
automating deployments and container orchestration
monitoring uptime and performance metrics
managing storage buckets and databases
setting up auto-scaling and load balancing

No authentication required. This API is open — no signup or key needed. Ideal for quick prototypes and public-facing features. Anomaly Finder Client is free to use, making it a low-risk choice to experiment with.

New to APIs? Read our beginner's guide · Learn about API keys · What is REST?

Open documentation ↗