Amazon Personalize

amazonaws · Cloud

Cloud No Auth Free & Open cloud

Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.

Authentication

No authentication requiredFree to use with no key needed.

Sample Requests

POST ListBatchInferenceJobs

Gets a list of the batch inference jobs that have been performed off of a solution version.

https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchInferenceJobs?nextToken=example&maxResults=example

Hover any highlighted part to learn what it does

Headers — extra info sent with the request

X-Amz-Target

AmazonPersonalize.ListBatchInferenceJobs

curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchInferenceJobs?nextToken=example&maxResults=example" \
  -H "X-Amz-Target: AmazonPersonalize.ListBatchInferenceJobs"

import requests
params = {
    "nextToken": "example",
    "maxResults": "example"
}
headers = {
    "X-Amz-Target": "AmazonPersonalize.ListBatchInferenceJobs"
}
response = requests.post(
    "https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchInferenceJobs",
    params=params,
    headers=headers,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchInferenceJobs');
url.searchParams.set('nextToken', 'example');
url.searchParams.set('maxResults', 'example');

const response = await fetch(url, {
  method: 'POST',
  headers: {
    'X-Amz-Target': 'AmazonPersonalize.ListBatchInferenceJobs'
  },
}); 
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/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchInferenceJobs")
	q := baseURL.Query()
	q.Set("nextToken", "example")
	q.Set("maxResults", "example")
	baseURL.RawQuery = q.Encode()
	targetURL := baseURL.String()
	req, _ := http.NewRequest("POST", targetURL, nil)
	req.Header.Set("X-Amz-Target", "AmazonPersonalize.ListBatchInferenceJobs")

	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/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchInferenceJobs")
uri.query = URI.encode_www_form({
  "nextToken" => "example",
  "maxResults" => "example"
})

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

req = Net::HTTP::Post.new(uri)
req["X-Amz-Target"] = "AmazonPersonalize.ListBatchInferenceJobs"

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

<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchInferenceJobs?" . http_build_query([
    "nextToken" => "example",
    "maxResults" => "example"
]);
$opts = ["http" => [
    "method" => "POST",
    "header" => implode("\r\n", [
        "X-Amz-Target: AmazonPersonalize.ListBatchInferenceJobs"
    ]),
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));

POST ListBatchSegmentJobs

Gets a list of the batch segment jobs that have been performed off of a solution version that you specify.

https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchSegmentJobs?nextToken=example&maxResults=example

Hover any highlighted part to learn what it does

Headers — extra info sent with the request

X-Amz-Target

AmazonPersonalize.ListBatchSegmentJobs

curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchSegmentJobs?nextToken=example&maxResults=example" \
  -H "X-Amz-Target: AmazonPersonalize.ListBatchSegmentJobs"

import requests
params = {
    "nextToken": "example",
    "maxResults": "example"
}
headers = {
    "X-Amz-Target": "AmazonPersonalize.ListBatchSegmentJobs"
}
response = requests.post(
    "https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchSegmentJobs",
    params=params,
    headers=headers,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchSegmentJobs');
url.searchParams.set('nextToken', 'example');
url.searchParams.set('maxResults', 'example');

const response = await fetch(url, {
  method: 'POST',
  headers: {
    'X-Amz-Target': 'AmazonPersonalize.ListBatchSegmentJobs'
  },
}); 
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/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchSegmentJobs")
	q := baseURL.Query()
	q.Set("nextToken", "example")
	q.Set("maxResults", "example")
	baseURL.RawQuery = q.Encode()
	targetURL := baseURL.String()
	req, _ := http.NewRequest("POST", targetURL, nil)
	req.Header.Set("X-Amz-Target", "AmazonPersonalize.ListBatchSegmentJobs")

	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/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchSegmentJobs")
uri.query = URI.encode_www_form({
  "nextToken" => "example",
  "maxResults" => "example"
})

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

req = Net::HTTP::Post.new(uri)
req["X-Amz-Target"] = "AmazonPersonalize.ListBatchSegmentJobs"

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

<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListBatchSegmentJobs?" . http_build_query([
    "nextToken" => "example",
    "maxResults" => "example"
]);
$opts = ["http" => [
    "method" => "POST",
    "header" => implode("\r\n", [
        "X-Amz-Target: AmazonPersonalize.ListBatchSegmentJobs"
    ]),
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));

POST ListCampaigns

Returns a list of campaigns that use the given solution. When a solution is not specified, all the campaigns associated with the account are listed. The response provides the properties for each campaign, including the Amazon Resource Name (ARN). For more information on campaigns, see <a href="https

https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListCampaigns?nextToken=example&maxResults=example

Hover any highlighted part to learn what it does

Headers — extra info sent with the request

X-Amz-Target

AmazonPersonalize.ListCampaigns

curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListCampaigns?nextToken=example&maxResults=example" \
  -H "X-Amz-Target: AmazonPersonalize.ListCampaigns"

import requests
params = {
    "nextToken": "example",
    "maxResults": "example"
}
headers = {
    "X-Amz-Target": "AmazonPersonalize.ListCampaigns"
}
response = requests.post(
    "https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListCampaigns",
    params=params,
    headers=headers,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListCampaigns');
url.searchParams.set('nextToken', 'example');
url.searchParams.set('maxResults', 'example');

const response = await fetch(url, {
  method: 'POST',
  headers: {
    'X-Amz-Target': 'AmazonPersonalize.ListCampaigns'
  },
}); 
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/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListCampaigns")
	q := baseURL.Query()
	q.Set("nextToken", "example")
	q.Set("maxResults", "example")
	baseURL.RawQuery = q.Encode()
	targetURL := baseURL.String()
	req, _ := http.NewRequest("POST", targetURL, nil)
	req.Header.Set("X-Amz-Target", "AmazonPersonalize.ListCampaigns")

	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/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListCampaigns")
uri.query = URI.encode_www_form({
  "nextToken" => "example",
  "maxResults" => "example"
})

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

req = Net::HTTP::Post.new(uri)
req["X-Amz-Target"] = "AmazonPersonalize.ListCampaigns"

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

<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/personalize/2018-05-22/#X-Amz-Target=AmazonPersonalize.ListCampaigns?" . http_build_query([
    "nextToken" => "example",
    "maxResults" => "example"
]);
$opts = ["http" => [
    "method" => "POST",
    "header" => implode("\r\n", [
        "X-Amz-Target: AmazonPersonalize.ListCampaigns"
    ]),
]];
$ctx = stream_context_create($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 Amazon Personalize?

Amazon Personalize 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. Amazon Personalize is free to use, making it a low-risk choice to experiment with.

New to APIs? Read our beginner's guide

Open documentation ↗