Intelligent Search API

vtex · Company

Company No Auth Free & Open API

>ℹ️ Onboarding guide > > Check the new [Search onboarding guide](https://developers.vtex.com/docs/guides/search-overview). We created this guide to improve the onboarding experience for developers at VTEX. It assembles all documentation on our Developer Portal about Search and is organized by focusing on the developer's journey. This API is from the [VTEX Intelligent Search](https://help.vtex.com/en/tracks/vtex-intelligent-search--19wrbB7nEQcmwzDPl1l4Cb/3qgT47zY08biLP3d5os3DG) solution, an

Authentication

No authentication requiredFree to use with no key needed.

Sample Requests

GET Get list of suggested terms and attributes similar to the search term

Lists the suggested terms and attributes similar to the search term.

https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/autocomplete_suggestions?query=test&locale=en-US

Hover any highlighted part to learn what it does

curl -X GET "https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/autocomplete_suggestions?query=test&locale=en-US"

import requests
params = {
    "query": "test",
    "locale": "en-US"
}
response = requests.get(
    "https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/autocomplete_suggestions",
    params=params,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/autocomplete_suggestions');
url.searchParams.set('query', 'test');
url.searchParams.set('locale', 'en-US');

const response = await fetch(url); 
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/vtex.local/Intelligent-Search-API/0.1.12/autocomplete_suggestions")
	q := baseURL.Query()
	q.Set("query", "test")
	q.Set("locale", "en-US")
	baseURL.RawQuery = q.Encode()
	targetURL := baseURL.String()
	req, _ := http.NewRequest("GET", 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/vtex.local/Intelligent-Search-API/0.1.12/autocomplete_suggestions")
uri.query = URI.encode_www_form({
  "query" => "test",
  "locale" => "en-US"
})

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

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

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

<?php
$url = "https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/autocomplete_suggestions?" . http_build_query([
    "query" => "test",
    "locale" => "en-US"
]);
$opts = ["http" => [
    "method" => "GET",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));

GET Get attempt of correction of a misspelled term

Tries to correct a misspelled term from the search.

https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/correction_search?query=test&locale=en-US

Hover any highlighted part to learn what it does

curl -X GET "https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/correction_search?query=test&locale=en-US"

import requests
params = {
    "query": "test",
    "locale": "en-US"
}
response = requests.get(
    "https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/correction_search",
    params=params,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/correction_search');
url.searchParams.set('query', 'test');
url.searchParams.set('locale', 'en-US');

const response = await fetch(url); 
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/vtex.local/Intelligent-Search-API/0.1.12/correction_search")
	q := baseURL.Query()
	q.Set("query", "test")
	q.Set("locale", "en-US")
	baseURL.RawQuery = q.Encode()
	targetURL := baseURL.String()
	req, _ := http.NewRequest("GET", 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/vtex.local/Intelligent-Search-API/0.1.12/correction_search")
uri.query = URI.encode_www_form({
  "query" => "test",
  "locale" => "en-US"
})

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

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

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

<?php
$url = "https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/correction_search?" . http_build_query([
    "query" => "test",
    "locale" => "en-US"
]);
$opts = ["http" => [
    "method" => "GET",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));

GET Get list of suggested terms similar to the search term

Lists suggested terms similar to the search term.

https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/search_suggestions?query=test&locale=en-US

Hover any highlighted part to learn what it does

curl -X GET "https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/search_suggestions?query=test&locale=en-US"

import requests
params = {
    "query": "test",
    "locale": "en-US"
}
response = requests.get(
    "https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/search_suggestions",
    params=params,
)
print(response.json())

const url = new URL('https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/search_suggestions');
url.searchParams.set('query', 'test');
url.searchParams.set('locale', 'en-US');

const response = await fetch(url); 
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/vtex.local/Intelligent-Search-API/0.1.12/search_suggestions")
	q := baseURL.Query()
	q.Set("query", "test")
	q.Set("locale", "en-US")
	baseURL.RawQuery = q.Encode()
	targetURL := baseURL.String()
	req, _ := http.NewRequest("GET", 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/vtex.local/Intelligent-Search-API/0.1.12/search_suggestions")
uri.query = URI.encode_www_form({
  "query" => "test",
  "locale" => "en-US"
})

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

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

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

<?php
$url = "https://api.apis.guru/v2/specs/vtex.local/Intelligent-Search-API/0.1.12/search_suggestions?" . http_build_query([
    "query" => "test",
    "locale" => "en-US"
]);
$opts = ["http" => [
    "method" => "GET",
]];
$ctx = stream_context_create($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 Intelligent Search API?

Intelligent Search API is a Company API. Developers commonly use company APIs for:

enriching CRM records with company firmographics
building lead-generation and prospecting tools
verifying business identity and registration details
monitoring competitors and market intelligence
powering B2B data enrichment pipelines

No authentication required. This API is open — no signup or key needed. Ideal for quick prototypes and public-facing features. Intelligent Search API 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 ↗