# Fixed reference example. Playground inputs do not update this sample.
curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '[
{
"keyword_fields": {
"snippet": "logitech"
},
"keyword": "logitech",
"page_type": [
"ecommerce",
"news",
"blogs",
"message-boards",
"organization"
],
"search_mode": "as_is",
"filters": [
"main_domain",
"=",
"reviewfinder.ca"
],
"order_by": [
"content_info.sentiment_connotations.anger,desc"
],
"limit": 10
}
]'curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
[
{
"keyword_fields": {
"snippet": "logitech"
},
"keyword": "logitech",
"page_type": [
"ecommerce",
"news",
"blogs",
"message-boards",
"organization"
],
"search_mode": "as_is",
"filters": [
"main_domain",
"=",
"reviewfinder.ca"
],
"order_by": [
"content_info.sentiment_connotations.anger,desc"
],
"limit": 10
}
]
'import requests
url = "https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live"
payload = [
{
"keyword_fields": { "snippet": "logitech" },
"keyword": "logitech",
"page_type": ["ecommerce", "news", "blogs", "message-boards", "organization"],
"search_mode": "as_is",
"filters": ["main_domain", "=", "reviewfinder.ca"],
"order_by": ["content_info.sentiment_connotations.anger,desc"],
"limit": 10
}
]
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify([
{
keyword_fields: {snippet: 'logitech'},
keyword: 'logitech',
page_type: ['ecommerce', 'news', 'blogs', 'message-boards', 'organization'],
search_mode: 'as_is',
filters: ['main_domain', '=', 'reviewfinder.ca'],
order_by: ['content_info.sentiment_connotations.anger,desc'],
limit: 10
}
])
};
fetch('https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live', 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.aisa.one/apis/v1/dataforseo/content_analysis/search/live",
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([
[
'keyword_fields' => [
'snippet' => 'logitech'
],
'keyword' => 'logitech',
'page_type' => [
'ecommerce',
'news',
'blogs',
'message-boards',
'organization'
],
'search_mode' => 'as_is',
'filters' => [
'main_domain',
'=',
'reviewfinder.ca'
],
'order_by' => [
'content_info.sentiment_connotations.anger,desc'
],
'limit' => 10
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.aisa.one/apis/v1/dataforseo/content_analysis/search/live"
payload := strings.NewReader("[\n {\n \"keyword_fields\": {\n \"snippet\": \"logitech\"\n },\n \"keyword\": \"logitech\",\n \"page_type\": [\n \"ecommerce\",\n \"news\",\n \"blogs\",\n \"message-boards\",\n \"organization\"\n ],\n \"search_mode\": \"as_is\",\n \"filters\": [\n \"main_domain\",\n \"=\",\n \"reviewfinder.ca\"\n ],\n \"order_by\": [\n \"content_info.sentiment_connotations.anger,desc\"\n ],\n \"limit\": 10\n }\n]")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.aisa.one/apis/v1/dataforseo/content_analysis/search/live")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("[\n {\n \"keyword_fields\": {\n \"snippet\": \"logitech\"\n },\n \"keyword\": \"logitech\",\n \"page_type\": [\n \"ecommerce\",\n \"news\",\n \"blogs\",\n \"message-boards\",\n \"organization\"\n ],\n \"search_mode\": \"as_is\",\n \"filters\": [\n \"main_domain\",\n \"=\",\n \"reviewfinder.ca\"\n ],\n \"order_by\": [\n \"content_info.sentiment_connotations.anger,desc\"\n ],\n \"limit\": 10\n }\n]")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "[\n {\n \"keyword_fields\": {\n \"snippet\": \"logitech\"\n },\n \"keyword\": \"logitech\",\n \"page_type\": [\n \"ecommerce\",\n \"news\",\n \"blogs\",\n \"message-boards\",\n \"organization\"\n ],\n \"search_mode\": \"as_is\",\n \"filters\": [\n \"main_domain\",\n \"=\",\n \"reviewfinder.ca\"\n ],\n \"order_by\": [\n \"content_info.sentiment_connotations.anger,desc\"\n ],\n \"limit\": 10\n }\n]"
response = http.request(request)
puts response.read_body{
"version": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"tasks_count": 123,
"tasks_error": 123,
"tasks": [
{
"id": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"result_count": 123,
"path": [
"<string>"
],
"data": {},
"result": [
{
"offset_token": "<string>",
"total_count": 123,
"items_count": 123,
"items": [
{
"type": "<string>",
"url": "<string>",
"domain": "<string>",
"main_domain": "<string>",
"url_rank": 123,
"spam_score": 123,
"domain_rank": 123,
"fetch_time": "<string>",
"country": "<string>",
"language": "<string>",
"score": 123,
"page_category": [
123
],
"page_types": [
"<string>"
],
"ratings": [
{
"name": "<string>",
"rating_value": 123,
"rating_count": 123,
"max_rating_value": 123,
"relative_rating": 123
}
],
"social_metrics": [
{
"type": "<string>",
"like_count": 123
}
],
"content_info": {
"content_type": "<string>",
"title": "<string>",
"main_title": "<string>",
"previous_title": "<string>",
"level": 123,
"author": "<string>",
"snippet": "<string>",
"snippet_length": 123,
"social_metrics": [
{
"type": "<string>",
"like_count": 123
}
],
"highlighted_text": "<string>",
"language": "<string>",
"sentiment_connotations": {},
"connotation_types": {},
"text_category": [
123
],
"date_published": "<string>",
"content_quality_score": 123,
"semantic_location": "<string>",
"rating": {
"name": "<string>",
"rating_value": 123,
"rating_count": 123,
"max_rating_value": 123,
"relative_rating": 123
},
"group_date": "<string>"
}
}
]
}
]
}
]
}Content Analysis – Search API
Lists the individual pages citing a keyword, rather than the totals.
# Fixed reference example. Playground inputs do not update this sample.
curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '[
{
"keyword_fields": {
"snippet": "logitech"
},
"keyword": "logitech",
"page_type": [
"ecommerce",
"news",
"blogs",
"message-boards",
"organization"
],
"search_mode": "as_is",
"filters": [
"main_domain",
"=",
"reviewfinder.ca"
],
"order_by": [
"content_info.sentiment_connotations.anger,desc"
],
"limit": 10
}
]'curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
[
{
"keyword_fields": {
"snippet": "logitech"
},
"keyword": "logitech",
"page_type": [
"ecommerce",
"news",
"blogs",
"message-boards",
"organization"
],
"search_mode": "as_is",
"filters": [
"main_domain",
"=",
"reviewfinder.ca"
],
"order_by": [
"content_info.sentiment_connotations.anger,desc"
],
"limit": 10
}
]
'import requests
url = "https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live"
payload = [
{
"keyword_fields": { "snippet": "logitech" },
"keyword": "logitech",
"page_type": ["ecommerce", "news", "blogs", "message-boards", "organization"],
"search_mode": "as_is",
"filters": ["main_domain", "=", "reviewfinder.ca"],
"order_by": ["content_info.sentiment_connotations.anger,desc"],
"limit": 10
}
]
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify([
{
keyword_fields: {snippet: 'logitech'},
keyword: 'logitech',
page_type: ['ecommerce', 'news', 'blogs', 'message-boards', 'organization'],
search_mode: 'as_is',
filters: ['main_domain', '=', 'reviewfinder.ca'],
order_by: ['content_info.sentiment_connotations.anger,desc'],
limit: 10
}
])
};
fetch('https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live', 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.aisa.one/apis/v1/dataforseo/content_analysis/search/live",
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([
[
'keyword_fields' => [
'snippet' => 'logitech'
],
'keyword' => 'logitech',
'page_type' => [
'ecommerce',
'news',
'blogs',
'message-boards',
'organization'
],
'search_mode' => 'as_is',
'filters' => [
'main_domain',
'=',
'reviewfinder.ca'
],
'order_by' => [
'content_info.sentiment_connotations.anger,desc'
],
'limit' => 10
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.aisa.one/apis/v1/dataforseo/content_analysis/search/live"
payload := strings.NewReader("[\n {\n \"keyword_fields\": {\n \"snippet\": \"logitech\"\n },\n \"keyword\": \"logitech\",\n \"page_type\": [\n \"ecommerce\",\n \"news\",\n \"blogs\",\n \"message-boards\",\n \"organization\"\n ],\n \"search_mode\": \"as_is\",\n \"filters\": [\n \"main_domain\",\n \"=\",\n \"reviewfinder.ca\"\n ],\n \"order_by\": [\n \"content_info.sentiment_connotations.anger,desc\"\n ],\n \"limit\": 10\n }\n]")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.aisa.one/apis/v1/dataforseo/content_analysis/search/live")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("[\n {\n \"keyword_fields\": {\n \"snippet\": \"logitech\"\n },\n \"keyword\": \"logitech\",\n \"page_type\": [\n \"ecommerce\",\n \"news\",\n \"blogs\",\n \"message-boards\",\n \"organization\"\n ],\n \"search_mode\": \"as_is\",\n \"filters\": [\n \"main_domain\",\n \"=\",\n \"reviewfinder.ca\"\n ],\n \"order_by\": [\n \"content_info.sentiment_connotations.anger,desc\"\n ],\n \"limit\": 10\n }\n]")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "[\n {\n \"keyword_fields\": {\n \"snippet\": \"logitech\"\n },\n \"keyword\": \"logitech\",\n \"page_type\": [\n \"ecommerce\",\n \"news\",\n \"blogs\",\n \"message-boards\",\n \"organization\"\n ],\n \"search_mode\": \"as_is\",\n \"filters\": [\n \"main_domain\",\n \"=\",\n \"reviewfinder.ca\"\n ],\n \"order_by\": [\n \"content_info.sentiment_connotations.anger,desc\"\n ],\n \"limit\": 10\n }\n]"
response = http.request(request)
puts response.read_body{
"version": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"tasks_count": 123,
"tasks_error": 123,
"tasks": [
{
"id": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"result_count": 123,
"path": [
"<string>"
],
"data": {},
"result": [
{
"offset_token": "<string>",
"total_count": 123,
"items_count": 123,
"items": [
{
"type": "<string>",
"url": "<string>",
"domain": "<string>",
"main_domain": "<string>",
"url_rank": 123,
"spam_score": 123,
"domain_rank": 123,
"fetch_time": "<string>",
"country": "<string>",
"language": "<string>",
"score": 123,
"page_category": [
123
],
"page_types": [
"<string>"
],
"ratings": [
{
"name": "<string>",
"rating_value": 123,
"rating_count": 123,
"max_rating_value": 123,
"relative_rating": 123
}
],
"social_metrics": [
{
"type": "<string>",
"like_count": 123
}
],
"content_info": {
"content_type": "<string>",
"title": "<string>",
"main_title": "<string>",
"previous_title": "<string>",
"level": 123,
"author": "<string>",
"snippet": "<string>",
"snippet_length": 123,
"social_metrics": [
{
"type": "<string>",
"like_count": 123
}
],
"highlighted_text": "<string>",
"language": "<string>",
"sentiment_connotations": {},
"connotation_types": {},
"text_category": [
123
],
"date_published": "<string>",
"content_quality_score": 123,
"semantic_location": "<string>",
"rating": {
"name": "<string>",
"rating_value": 123,
"rating_count": 123,
"max_rating_value": 123,
"relative_rating": 123
},
"group_date": "<string>"
}
}
]
}
]
}
]
}url, domain, main_domain, url_rank, domain_rank, spam_score, fetch_time, country, language, score and page_category, alongside total_count and items_count. Page with offset_token from the previous response, and cap the payload with limit - measured at 2.2 KB for a single item. Every response wraps its payload in DataForSEO’s envelope - tasks[0].result holds the data. filters accepts the fields listed by get_dataforseo_content_available_filters. For counts and distributions instead of pages, use post_dataforseo_content_summary_live.
Example
curl -X POST "https://api.aisa.one/apis/v1/dataforseo/content_analysis/search/live" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '[{"keyword": "...", "keyword_fields": "...", "page_type": "..."}]'
// Copy this whole block into Claude Code, Codex, Cursor or any coding agent.
// It carries everything needed to connect, authorize and run this example —
// no key to paste, one click of Allow in the browser.
{
"operation_id": "post_dataforseo_content_search_live",
"arguments": {},
"max_price_usd": 0.05
}
// ── for the agent ─────────────────────────────────────────────────────────
// Register the AIsa MCP server, then call its `use` tool with the JSON above.
// name aisa
// endpoint https://mcp.aisa.one/mcp
// transport streamable-http
// auth OAuth. The server publishes RFC 9728 metadata, so open a
// browser and the user clicks Allow once — nothing to paste.
// If AISA_API_KEY is set, send it as a bearer header instead.
// Use your own MCP mechanism, not a hand-edited config file:
// Codex codex mcp add aisa --url https://mcp.aisa.one/mcp
// Claude Code claude mcp add --transport http -s user aisa https://mcp.aisa.one/mcp
// Cursor / VS Code a "url" entry for https://mcp.aisa.one/mcp in the MCP config
// The server lists five tools over https://mcp.aisa.one/servers worth of APIs:
// search, get_details, use, batch_use, list_categories. search and
// get_details are free; use is billed per call and max_price_usd refuses
// anything above the cap before spending. This operation's full contract —
// every argument, the response shape, the price and the pitfalls — is at
// https://aisa.one/docs/api-reference/dataforseo/post_dataforseo-content-analysis-search-live.md
// Then run the call and show me the result.
https://mcp.aisa.one/mcp — Claude
Code, Codex, Cursor, VS Code and the rest. Authorization is OAuth: the client
opens a browser, you click Allow once, and there is no key to paste. The
commands per client, and what each call costs, are on
aisa.one/mcp.Cost and request rules
Published reference values are not an account-specific quote or a settled charge. For endpoints supporting X-AISA-Cost-Mode: quote, obtain a free quote for your exact request before execution; reconcile the settled cost with response metadata and Usage Logs. USD amounts use 1,000,000 integer micro-USD per dollar.- Default request reference estimate (USD): 0.0276
- Cost contract: response_usd
- Published reference multiplier: 1.0
- Settlement evidence source: response_body
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
target keyword
required field
UTF-8 encoding
the keywords will be converted to a lowercase format;
Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;
example: "keyword": "\"tesla palo alto\""
learn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article
target keyword fields and target keywords
optional field
use this parameter to filter the dataset by keywords that certain fields should contain;
fields you can specify: title, main_title, previous_title, snippet
you can indicate several fields;
Note: to match an exact phrase instead of a stand-alone keyword, use double quotes and backslashes;
example:"keyword_fields": {<br>"snippet": "\"logitech mouse\"",<br>"main_title": "sale"<br>}"
Show child attributes
Show child attributes
target page types
optional field
use this parameter to filter the dataset by page types
possible values: "ecommerce", "news", "blogs", "message-boards", "organization"
results grouping type
optional field
possible grouping types:as_is - returns all citations for the target keywordone_per_domain - returns one citation of the keyword per domain
default value: as_is
the maximum number of returned citations
optional field
default value: 100
maximum value: 1000
array of results filtering parameters
optional field
you can add several filters at once (8 filters maximum)
you should set a logical operator and, or between the conditions
the following operators are supported:regex, not_regex, <, <=, >, >=, =, <>, in, not_in, like,not_like, match, not_match
you can use the % operator with like and not_like to match any string of zero or more characters
example:["country","=", "US"]
[["domain_rank",">",800],"and",["content_info.connotation_types.negative",">",0.9]]
[["domain_rank",">",800],"and",[["page_types","has","ecommerce"],"or",
["content_info.text_category","has",10994]]]
for more information about filters, please refer to Content Analysis API - Filters
results sorting rules
optional field
you can use the same values as in the filters array to sort the results
possible sorting types:asc - results will be sorted in the ascending orderdesc - results will be sorted in the descending order
you should use a comma to set up a sorting type
example:["content_info.sentiment_connotations.anger,desc"]
default rule:["content_info.sentiment_connotations.anger,desc"]
note that you can set no more than three sorting rules in a single request
you should use a comma to separate several sorting rules
example:["content_info.sentiment_connotations.anger,desc","keyword_data.keyword_info.cpc,desc"]
offset in the results array of returned citations
optional field
default value: 0
if you specify the 10 value, the first ten citations in the results array will be omitted and the data will be provided for the successive citations
Note: we recommend using this parameter only when retrieving up to 10,000 results
for retrieving over 10,000 results, use the offset_token instead.
offset token for subsequent requests
optional field
provided in the identical field of the response to each request;
use this parameter to avoid timeouts while trying to obtain over 10,000 results in a single request;
by specifying the unique offset_token value from the response array, you will get the subsequent results of the initial task;offset_token values are unique for each subsequent task
Note: if the offset_token is specified in the request, all other parameters except limit will not be taken into account when processing a task
learn more about this parameter on our Help Center
defines the scale used for calculating and displaying the domain_rank, and url_rank values
optional field
you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale
possible values:one_hundred — rank values are displayed on a 0–100 scaleone_thousand — rank values are displayed on a 0–1000 scale
default value: one_thousand
learn more about how this parameter works in this Help Center article
user-defined task identifier
optional field
the character limit is 255
you can use this parameter to identify the task and match it with the result
you will find the specified tag value in the data object of the response
[
{
"keyword_fields": { "snippet": "logitech" },
"keyword": "logitech",
"page_type": [
"ecommerce",
"news",
"blogs",
"message-boards",
"organization"
],
"search_mode": "as_is",
"filters": ["main_domain", "=", "reviewfinder.ca"],
"order_by": [
"content_info.sentiment_connotations.anger,desc"
],
"limit": 10
}
]
Response
Successful operation
the current version of the API
general status code you can find the full list of the response codes here
general informational message you can find the full list of general informational messages here
total execution time, seconds
total tasks cost, USD
the number of tasks in the tasks array
the number of tasks in the tasks array returned with an error
array of tasks
Show child attributes
Show child attributes