Drill into a brand stance: the AI responses where it was chosen/negatively mentioned/…
curl --request POST \
--url https://api.mentionlab.io/api/analytics/themes/entity-responses \
--header 'Content-Type: application/json' \
--header 'x-project-id: <x-project-id>' \
--data '
{
"entityId": "550e8400-e29b-41d4-a716-446655440000",
"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,
"page": 1,
"pageSize": 10
}
'import requests
url = "https://api.mentionlab.io/api/analytics/themes/entity-responses"
payload = {
"entityId": "550e8400-e29b-41d4-a716-446655440000",
"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,
"page": 1,
"pageSize": 10
}
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({
entityId: '550e8400-e29b-41d4-a716-446655440000',
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,
page: 1,
pageSize: 10
})
};
fetch('https://api.mentionlab.io/api/analytics/themes/entity-responses', 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/analytics/themes/entity-responses",
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([
'entityId' => '550e8400-e29b-41d4-a716-446655440000',
'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,
'page' => 1,
'pageSize' => 10
]),
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/analytics/themes/entity-responses"
payload := strings.NewReader("{\n \"entityId\": \"550e8400-e29b-41d4-a716-446655440000\",\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 \"page\": 1,\n \"pageSize\": 10\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/analytics/themes/entity-responses")
.header("x-project-id", "<x-project-id>")
.header("Content-Type", "application/json")
.body("{\n \"entityId\": \"550e8400-e29b-41d4-a716-446655440000\",\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 \"page\": 1,\n \"pageSize\": 10\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.mentionlab.io/api/analytics/themes/entity-responses")
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 \"entityId\": \"550e8400-e29b-41d4-a716-446655440000\",\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 \"page\": 1,\n \"pageSize\": 10\n}"
response = http.request(request)
puts response.read_body{
"responses": [
{
"aiResponseId": "<string>",
"initiatedAt": "<string>",
"model": "<string>",
"queryId": "<string>",
"queryText": "<string>",
"sentiment": "positive",
"sentimentScore": 123,
"stance": "chosen",
"text": "<string>",
"reasons": [
{
"evidenceSpan": "<string>",
"sentiment": "positive",
"themeLabel": "<string>"
}
]
}
],
"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 - Themes
Drill into a brand stance: the AI responses where it was chosen/negatively mentioned/…
Returns the AI responses where one brand earned a given stance (e.g. negative_mentioned), each with its full text and the brand’s theme evidence inside it (the why). entityId is expanded to its merge family. Paginated, most recent first. All standard analytics filters apply.
POST
/
api
/
analytics
/
themes
/
entity-responses
Drill into a brand stance: the AI responses where it was chosen/negatively mentioned/…
curl --request POST \
--url https://api.mentionlab.io/api/analytics/themes/entity-responses \
--header 'Content-Type: application/json' \
--header 'x-project-id: <x-project-id>' \
--data '
{
"entityId": "550e8400-e29b-41d4-a716-446655440000",
"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,
"page": 1,
"pageSize": 10
}
'import requests
url = "https://api.mentionlab.io/api/analytics/themes/entity-responses"
payload = {
"entityId": "550e8400-e29b-41d4-a716-446655440000",
"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,
"page": 1,
"pageSize": 10
}
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({
entityId: '550e8400-e29b-41d4-a716-446655440000',
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,
page: 1,
pageSize: 10
})
};
fetch('https://api.mentionlab.io/api/analytics/themes/entity-responses', 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/analytics/themes/entity-responses",
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([
'entityId' => '550e8400-e29b-41d4-a716-446655440000',
'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,
'page' => 1,
'pageSize' => 10
]),
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/analytics/themes/entity-responses"
payload := strings.NewReader("{\n \"entityId\": \"550e8400-e29b-41d4-a716-446655440000\",\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 \"page\": 1,\n \"pageSize\": 10\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/analytics/themes/entity-responses")
.header("x-project-id", "<x-project-id>")
.header("Content-Type", "application/json")
.body("{\n \"entityId\": \"550e8400-e29b-41d4-a716-446655440000\",\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 \"page\": 1,\n \"pageSize\": 10\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.mentionlab.io/api/analytics/themes/entity-responses")
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 \"entityId\": \"550e8400-e29b-41d4-a716-446655440000\",\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 \"page\": 1,\n \"pageSize\": 10\n}"
response = http.request(request)
puts response.read_body{
"responses": [
{
"aiResponseId": "<string>",
"initiatedAt": "<string>",
"model": "<string>",
"queryId": "<string>",
"queryText": "<string>",
"sentiment": "positive",
"sentimentScore": 123,
"stance": "chosen",
"text": "<string>",
"reasons": [
{
"evidenceSpan": "<string>",
"sentiment": "positive",
"themeLabel": "<string>"
}
]
}
],
"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
Entity (brand) id — canonical or a merged source.
Example:
"550e8400-e29b-41d4-a716-446655440000"
Stance to filter on.
Available options:
chosen, mentioned, named, negative_mentioned, negative_named 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: "and" matches ALL tags (default, the dashboard's), "or" matches ANY tag.
Available options:
and, or Execution tag matching mode: "and" matches ALL tags (default, the dashboard's), "or" matches ANY tag.
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
Page number (1-based). Default: 1.
Example:
1
Results per page. Default: 10, max: 50.
Example:
10