Custom Vision Prediction Client

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Custom Vision Prediction Client API

Authentication

No authentication requiredFree to use with no key needed.

Sample Requests

POST Classify an image and saves the result.

Classify an image and saves the result.

https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/image?application=example

Hover any highlighted part to learn what it does

curl -X POST "https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/image?application=example"

import requests
params = {
    "application": "example"
}
response = requests.post(
    "https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/image",
    params=params,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/image');
url.searchParams.set('application', 'example');

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

package main

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

func main() {
	baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/image")
	q := baseURL.Query()
	q.Set("application", "example")
	baseURL.RawQuery = q.Encode()
	targetURL := baseURL.String()
	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/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/image")
uri.query = URI.encode_www_form({
  "application" => "example"
})

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/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/image?" . http_build_query([
    "application" => "example"
]);
$opts = ["http" => [
    "method" => "POST",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));

POST Classify an image url and saves the result.

Classify an image url and saves the result.

https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/url?application=example

Hover any highlighted part to learn what it does

curl -X POST "https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/url?application=example"

import requests
params = {
    "application": "example"
}
response = requests.post(
    "https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/url",
    params=params,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/url');
url.searchParams.set('application', 'example');

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

package main

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

func main() {
	baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/url")
	q := baseURL.Query()
	q.Set("application", "example")
	baseURL.RawQuery = q.Encode()
	targetURL := baseURL.String()
	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/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/url")
uri.query = URI.encode_www_form({
  "application" => "example"
})

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/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/classify/iterations/{publishedName}/url?" . http_build_query([
    "application" => "example"
]);
$opts = ["http" => [
    "method" => "POST",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));

POST Detect objects in an image and saves the result.

Detect objects in an image and saves the result.

https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/detect/iterations/{publishedName}/image?application=example

Hover any highlighted part to learn what it does

curl -X POST "https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/detect/iterations/{publishedName}/image?application=example"

import requests
params = {
    "application": "example"
}
response = requests.post(
    "https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/detect/iterations/{publishedName}/image",
    params=params,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/detect/iterations/{publishedName}/image');
url.searchParams.set('application', 'example');

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

package main

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

func main() {
	baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/detect/iterations/{publishedName}/image")
	q := baseURL.Query()
	q.Set("application", "example")
	baseURL.RawQuery = q.Encode()
	targetURL := baseURL.String()
	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/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/detect/iterations/{publishedName}/image")
uri.query = URI.encode_www_form({
  "application" => "example"
})

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/microsoft.com/cognitiveservices-Prediction/3.0/{projectId}/detect/iterations/{publishedName}/image?" . http_build_query([
    "application" => "example"
]);
$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 Custom Vision Prediction Client?

Custom Vision Prediction Client is a Developer Tools API. Developers commonly use developer tools APIs for:

automating code review and quality checks
integrating CI/CD pipelines and build systems
managing feature flags and A/B tests
monitoring errors and application performance
generating and validating test data

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

New to APIs? Read our beginner's guide

Open documentation ↗