Amazon Connect Contact Lens

amazonaws · Cloud

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Contact Lens for Amazon Connect enables you to analyze conversations between customer and agents, by using speech transcription, natural language processing, and intelligent search capabilities. It performs sentiment analysis, detects issues, and enables you to automatically categorize contacts. Contact Lens for Amazon Connect provides both real-time and post-call analytics of customer-agent conversations. For more information, see <a href="https://docs.aws.amazon.com/connect/latest/ad

Authentication

No authentication requiredFree to use with no key needed.

Sample Requests

POST ListRealtimeContactAnalysisSegments

Provides a list of analysis segments for a real-time analysis session.

https://api.apis.guru/v2/specs/amazonaws.com/connect-contact-lens/2020-08-21/realtime-contact-analysis/analysis-segments?NextToken=example&MaxResults=example

Hover any highlighted part to learn what it does

curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/connect-contact-lens/2020-08-21/realtime-contact-analysis/analysis-segments?NextToken=example&MaxResults=example"

import requests
params = {
    "NextToken": "example",
    "MaxResults": "example"
}
response = requests.post(
    "https://api.apis.guru/v2/specs/amazonaws.com/connect-contact-lens/2020-08-21/realtime-contact-analysis/analysis-segments",
    params=params,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/connect-contact-lens/2020-08-21/realtime-contact-analysis/analysis-segments');
url.searchParams.set('NextToken', 'example');
url.searchParams.set('MaxResults', '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/amazonaws.com/connect-contact-lens/2020-08-21/realtime-contact-analysis/analysis-segments")
	q := baseURL.Query()
	q.Set("NextToken", "example")
	q.Set("MaxResults", "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/amazonaws.com/connect-contact-lens/2020-08-21/realtime-contact-analysis/analysis-segments")
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)

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

<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/connect-contact-lens/2020-08-21/realtime-contact-analysis/analysis-segments?" . http_build_query([
    "NextToken" => "example",
    "MaxResults" => "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 Amazon Connect Contact Lens?

Amazon Connect Contact Lens 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 Connect Contact Lens 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 ↗