Source domains with citation & brand-reach metrics
curl --request POST \
--url https://api.mentionlab.io/api/v1/analytics/sources/domains \
--header 'Content-Type: application/json' \
--header 'x-project-id: <x-project-id>' \
--data '
{
"startDate": "2025-01-01",
"endDate": "2025-01-31",
"countries": [
"BE",
"FR"
],
"languages": [
"en",
"fr"
],
"models": [
"gpt-4o",
"claude-3-5-sonnet"
],
"queryIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTagIds": [
"42"
],
"execTagIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTagGroupIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"execTagGroupIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTypes": [],
"timezone": "UTC",
"groupByEntityGroup": false,
"showAllEntities": false,
"tlds": [
"be",
"co.uk"
],
"entityIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"limit": 50,
"page": 1,
"pageSize": 50,
"categorySlugs": [
"news_media",
"community_ugc"
],
"search": "reddit",
"sort": [
{
"field": "citationShare",
"direction": "desc"
}
]
}
'import requests
url = "https://api.mentionlab.io/api/v1/analytics/sources/domains"
payload = {
"startDate": "2025-01-01",
"endDate": "2025-01-31",
"countries": ["BE", "FR"],
"languages": ["en", "fr"],
"models": ["gpt-4o", "claude-3-5-sonnet"],
"queryIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTagIds": ["42"],
"execTagIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTagGroupIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"execTagGroupIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTypes": [],
"timezone": "UTC",
"groupByEntityGroup": False,
"showAllEntities": False,
"tlds": ["be", "co.uk"],
"entityIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"limit": 50,
"page": 1,
"pageSize": 50,
"categorySlugs": ["news_media", "community_ugc"],
"search": "reddit",
"sort": [
{
"field": "citationShare",
"direction": "desc"
}
]
}
headers = {
"x-project-id": "<x-project-id>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-project-id': '<x-project-id>', 'Content-Type': 'application/json'},
body: JSON.stringify({
startDate: '2025-01-01',
endDate: '2025-01-31',
countries: ['BE', 'FR'],
languages: ['en', 'fr'],
models: ['gpt-4o', 'claude-3-5-sonnet'],
queryIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTagIds: ['42'],
execTagIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTagGroupIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
execTagGroupIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTypes: [],
timezone: 'UTC',
groupByEntityGroup: false,
showAllEntities: false,
tlds: ['be', 'co.uk'],
entityIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
limit: 50,
page: 1,
pageSize: 50,
categorySlugs: ['news_media', 'community_ugc'],
search: 'reddit',
sort: [{field: 'citationShare', direction: 'desc'}]
})
};
fetch('https://api.mentionlab.io/api/v1/analytics/sources/domains', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.mentionlab.io/api/v1/analytics/sources/domains",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'startDate' => '2025-01-01',
'endDate' => '2025-01-31',
'countries' => [
'BE',
'FR'
],
'languages' => [
'en',
'fr'
],
'models' => [
'gpt-4o',
'claude-3-5-sonnet'
],
'queryIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTagIds' => [
'42'
],
'execTagIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTagGroupIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'execTagGroupIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTypes' => [
],
'timezone' => 'UTC',
'groupByEntityGroup' => false,
'showAllEntities' => false,
'tlds' => [
'be',
'co.uk'
],
'entityIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'limit' => 50,
'page' => 1,
'pageSize' => 50,
'categorySlugs' => [
'news_media',
'community_ugc'
],
'search' => 'reddit',
'sort' => [
[
'field' => 'citationShare',
'direction' => 'desc'
]
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-project-id: <x-project-id>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.mentionlab.io/api/v1/analytics/sources/domains"
payload := strings.NewReader("{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"tlds\": [\n \"be\",\n \"co.uk\"\n ],\n \"entityIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"limit\": 50,\n \"page\": 1,\n \"pageSize\": 50,\n \"categorySlugs\": [\n \"news_media\",\n \"community_ugc\"\n ],\n \"search\": \"reddit\",\n \"sort\": [\n {\n \"field\": \"citationShare\",\n \"direction\": \"desc\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-project-id", "<x-project-id>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.mentionlab.io/api/v1/analytics/sources/domains")
.header("x-project-id", "<x-project-id>")
.header("Content-Type", "application/json")
.body("{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"tlds\": [\n \"be\",\n \"co.uk\"\n ],\n \"entityIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"limit\": 50,\n \"page\": 1,\n \"pageSize\": 50,\n \"categorySlugs\": [\n \"news_media\",\n \"community_ugc\"\n ],\n \"search\": \"reddit\",\n \"sort\": [\n {\n \"field\": \"citationShare\",\n \"direction\": \"desc\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.mentionlab.io/api/v1/analytics/sources/domains")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-project-id"] = '<x-project-id>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"tlds\": [\n \"be\",\n \"co.uk\"\n ],\n \"entityIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"limit\": 50,\n \"page\": 1,\n \"pageSize\": 50,\n \"categorySlugs\": [\n \"news_media\",\n \"community_ugc\"\n ],\n \"search\": \"reddit\",\n \"sort\": [\n {\n \"field\": \"citationShare\",\n \"direction\": \"desc\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"totalResponses": 365,
"totalCitations": 712,
"totalBrandPages": 200,
"sources": [
{
"sourceDomainId": "01234567-89ab-cdef-0123-456789abcdef",
"domain": "reddit.com",
"categorySlug": "news_media",
"categoryLabel": "News & Media",
"resultCount": 102,
"citationRate": 28,
"citationShare": 14.3,
"pageCount": 178,
"brandPageCount": 45,
"entityCitationShare": 22.5,
"presence": 25.3,
"brandResultCount": 38,
"trueReach": 10.4,
"pendingCitations": 3
}
],
"page": {
"totalRecords": 123,
"limit": 123,
"currentPage": 123,
"totalPages": 123,
"nextPage": 123,
"prevPage": 123
}
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}Analytics - Sources
Source domains with citation & brand-reach metrics
Returns the project’s cited source domains with citation and brand-reach metrics over the selected date range; pass limit for a top-N view.
POST
/
api
/
v1
/
analytics
/
sources
/
domains
Source domains with citation & brand-reach metrics
curl --request POST \
--url https://api.mentionlab.io/api/v1/analytics/sources/domains \
--header 'Content-Type: application/json' \
--header 'x-project-id: <x-project-id>' \
--data '
{
"startDate": "2025-01-01",
"endDate": "2025-01-31",
"countries": [
"BE",
"FR"
],
"languages": [
"en",
"fr"
],
"models": [
"gpt-4o",
"claude-3-5-sonnet"
],
"queryIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTagIds": [
"42"
],
"execTagIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTagGroupIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"execTagGroupIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTypes": [],
"timezone": "UTC",
"groupByEntityGroup": false,
"showAllEntities": false,
"tlds": [
"be",
"co.uk"
],
"entityIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"limit": 50,
"page": 1,
"pageSize": 50,
"categorySlugs": [
"news_media",
"community_ugc"
],
"search": "reddit",
"sort": [
{
"field": "citationShare",
"direction": "desc"
}
]
}
'import requests
url = "https://api.mentionlab.io/api/v1/analytics/sources/domains"
payload = {
"startDate": "2025-01-01",
"endDate": "2025-01-31",
"countries": ["BE", "FR"],
"languages": ["en", "fr"],
"models": ["gpt-4o", "claude-3-5-sonnet"],
"queryIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTagIds": ["42"],
"execTagIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTagGroupIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"execTagGroupIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTypes": [],
"timezone": "UTC",
"groupByEntityGroup": False,
"showAllEntities": False,
"tlds": ["be", "co.uk"],
"entityIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"limit": 50,
"page": 1,
"pageSize": 50,
"categorySlugs": ["news_media", "community_ugc"],
"search": "reddit",
"sort": [
{
"field": "citationShare",
"direction": "desc"
}
]
}
headers = {
"x-project-id": "<x-project-id>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-project-id': '<x-project-id>', 'Content-Type': 'application/json'},
body: JSON.stringify({
startDate: '2025-01-01',
endDate: '2025-01-31',
countries: ['BE', 'FR'],
languages: ['en', 'fr'],
models: ['gpt-4o', 'claude-3-5-sonnet'],
queryIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTagIds: ['42'],
execTagIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTagGroupIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
execTagGroupIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTypes: [],
timezone: 'UTC',
groupByEntityGroup: false,
showAllEntities: false,
tlds: ['be', 'co.uk'],
entityIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
limit: 50,
page: 1,
pageSize: 50,
categorySlugs: ['news_media', 'community_ugc'],
search: 'reddit',
sort: [{field: 'citationShare', direction: 'desc'}]
})
};
fetch('https://api.mentionlab.io/api/v1/analytics/sources/domains', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.mentionlab.io/api/v1/analytics/sources/domains",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'startDate' => '2025-01-01',
'endDate' => '2025-01-31',
'countries' => [
'BE',
'FR'
],
'languages' => [
'en',
'fr'
],
'models' => [
'gpt-4o',
'claude-3-5-sonnet'
],
'queryIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTagIds' => [
'42'
],
'execTagIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTagGroupIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'execTagGroupIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTypes' => [
],
'timezone' => 'UTC',
'groupByEntityGroup' => false,
'showAllEntities' => false,
'tlds' => [
'be',
'co.uk'
],
'entityIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'limit' => 50,
'page' => 1,
'pageSize' => 50,
'categorySlugs' => [
'news_media',
'community_ugc'
],
'search' => 'reddit',
'sort' => [
[
'field' => 'citationShare',
'direction' => 'desc'
]
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-project-id: <x-project-id>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.mentionlab.io/api/v1/analytics/sources/domains"
payload := strings.NewReader("{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"tlds\": [\n \"be\",\n \"co.uk\"\n ],\n \"entityIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"limit\": 50,\n \"page\": 1,\n \"pageSize\": 50,\n \"categorySlugs\": [\n \"news_media\",\n \"community_ugc\"\n ],\n \"search\": \"reddit\",\n \"sort\": [\n {\n \"field\": \"citationShare\",\n \"direction\": \"desc\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-project-id", "<x-project-id>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.mentionlab.io/api/v1/analytics/sources/domains")
.header("x-project-id", "<x-project-id>")
.header("Content-Type", "application/json")
.body("{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"tlds\": [\n \"be\",\n \"co.uk\"\n ],\n \"entityIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"limit\": 50,\n \"page\": 1,\n \"pageSize\": 50,\n \"categorySlugs\": [\n \"news_media\",\n \"community_ugc\"\n ],\n \"search\": \"reddit\",\n \"sort\": [\n {\n \"field\": \"citationShare\",\n \"direction\": \"desc\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.mentionlab.io/api/v1/analytics/sources/domains")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-project-id"] = '<x-project-id>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"tlds\": [\n \"be\",\n \"co.uk\"\n ],\n \"entityIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"limit\": 50,\n \"page\": 1,\n \"pageSize\": 50,\n \"categorySlugs\": [\n \"news_media\",\n \"community_ugc\"\n ],\n \"search\": \"reddit\",\n \"sort\": [\n {\n \"field\": \"citationShare\",\n \"direction\": \"desc\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"totalResponses": 365,
"totalCitations": 712,
"totalBrandPages": 200,
"sources": [
{
"sourceDomainId": "01234567-89ab-cdef-0123-456789abcdef",
"domain": "reddit.com",
"categorySlug": "news_media",
"categoryLabel": "News & Media",
"resultCount": 102,
"citationRate": 28,
"citationShare": 14.3,
"pageCount": 178,
"brandPageCount": 45,
"entityCitationShare": 22.5,
"presence": 25.3,
"brandResultCount": 38,
"trueReach": 10.4,
"pendingCitations": 3
}
],
"page": {
"totalRecords": 123,
"limit": 123,
"currentPage": 123,
"totalPages": 123,
"nextPage": 123,
"prevPage": 123
}
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}Headers
Project ID to specify the project context
Body
application/json
Start date (inclusive)
Example:
"2025-01-01"
End date (inclusive)
Example:
"2025-01-31"
Filter by country codes
Example:
["BE", "FR"]
Filter by language codes
Example:
["en", "fr"]
Filter by AI models
Example:
["gpt-4o", "claude-3-5-sonnet"]
Filter by query IDs
Example:
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
Filter by source presence: "sources" (only with sources), "no_sources" (only without), "all" (no filter). Legacy true/false values are still accepted.
Available options:
all, sources, no_sources Filter by shopping presence: "shopping" (only with shopping), "no_shopping" (only without), "all" (no filter). Legacy true/false values are still accepted.
Available options:
all, shopping, no_shopping Filter by sponsored-ad presence: "ads" (only with ads), "no_ads" (only without), "all" (no filter). Legacy true/false values are still accepted.
Available options:
all, ads, no_ads Filter by query tag IDs (numeric — bigint column)
Example:
["42"]
Filter by execution tag IDs
Example:
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
Filter by query tag group IDs — matches rows carrying any tag filed under a selected group. Combines with queryTagIds per queryTagMode.
Example:
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
Filter by execution tag group IDs — matches rows carrying any tag filed under a selected group. Combines with execTagIds per execTagMode.
Example:
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
Filter by query type. Include "untyped" to also match queries without a type. Results from since-deleted queries are excluded when this filter is set.
Available options:
comparative, informative, perception, untyped Query tag matching mode: "or" matches ANY tag (default), "and" matches ALL tags.
Available options:
and, or Execution tag matching mode: "or" matches ANY tag (default), "and" matches ALL tags.
Available options:
and, or Deprecated and ignored. Date bounds and buckets are always UTC. Accepted for backward compatibility only.
Example:
"UTC"
Row grouping level for entity results. "none" = one row per entity, "division" = one row per division (entities not in a division get their own row), "group" = one row per top-level group (divisions roll up into their group). Defaults to "none".
Available options:
none, division, group Deprecated — use groupBy instead. true is equivalent to groupBy="group".
Example:
false
Include entities that have only ever been seen in a single AI response. These are mostly one-off extraction noise and are hidden by default.
Example:
false
Restrict to source domains whose ICANN public suffix is one of these values. Matched exactly against the full suffix (e.g. "co.uk", not "uk").
Example:
["be", "co.uk"]
Entity IDs to compute brand metrics for (defaults to primary non-blacklisted)
Example:
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
Max domains to return (omit for all)
Example:
50
Page number (1-based).
Example:
1
Items per page (max 200).
Example:
50
Filter to domains whose resolved source-type category matches one of these slugs. Pass 'other' to match uncategorised domains.
Example:
["news_media", "community_ugc"]
Case-insensitive substring filter on the domain name (e.g. "reddit" matches reddit.com).
Example:
"reddit"
Sorting criteria applied to the returned domains. Each entry pairs a sortable field (e.g. domain, resultCount, citationRate, citationShare, pageCount, brandPageCount, entityCitationShare, presence, brandResultCount, trueReach) with a sort direction.
Show child attributes
Show child attributes
Example:
[ { "field": "citationShare", "direction": "desc" } ]
Response
Total number of AI responses in the filtered scope. Used as the denominator for citationRate.
Example:
365
Sum of resultCount across all source domains. Used as the denominator for citationShare. Note: this can exceed totalResponses because one response may cite multiple domains.
Example:
712
Sum of brandPageCount across all source domains. Used as the denominator for entityCitationShare.
Example:
200
Per-domain statistics with all citation and brand reach metrics, ordered by resultCount descending (unless sorted).
Show child attributes
Show child attributes
Pagination metadata.
Show child attributes
Show child attributes