curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/content_analysis/category_trends/live \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
[
{
"category_code": 10994,
"search_mode": "as_is",
"date_from": "2022-09-01",
"date_group": "month"
}
]
'import requests
url = "https://api.aisa.one/apis/v1/dataforseo/content_analysis/category_trends/live"
payload = [
{
"category_code": 10994,
"search_mode": "as_is",
"date_from": "2022-09-01",
"date_group": "month"
}
]
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([
{
category_code: 10994,
search_mode: 'as_is',
date_from: '2022-09-01',
date_group: 'month'
}
])
};
fetch('https://api.aisa.one/apis/v1/dataforseo/content_analysis/category_trends/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/category_trends/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([
[
'category_code' => 10994,
'search_mode' => 'as_is',
'date_from' => '2022-09-01',
'date_group' => 'month'
]
]),
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/category_trends/live"
payload := strings.NewReader("[\n {\n \"category_code\": 10994,\n \"search_mode\": \"as_is\",\n \"date_from\": \"2022-09-01\",\n \"date_group\": \"month\"\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/category_trends/live")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("[\n {\n \"category_code\": 10994,\n \"search_mode\": \"as_is\",\n \"date_from\": \"2022-09-01\",\n \"date_group\": \"month\"\n }\n]")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/dataforseo/content_analysis/category_trends/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 \"category_code\": 10994,\n \"search_mode\": \"as_is\",\n \"date_from\": \"2022-09-01\",\n \"date_group\": \"month\"\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": [
{
"type": "<string>",
"date": "<string>",
"total_count": 123,
"rank": 123,
"top_domains": [
{
"domain": "<string>",
"count": 123
}
],
"sentiment_connotations": {},
"connotation_types": {},
"text_categories": [
{
"category": [
123
],
"count": 123
}
],
"page_categories": [
{
"category": [
123
],
"count": 123
}
],
"page_types": {},
"countries": {},
"languages": {}
}
]
}
]
}内容分析 – 类别趋势 API
与 post_dataforseo_content_phrase_trends_live 相同的分时段指标,但针对整个商品品类而不是单个关键词。
curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/content_analysis/category_trends/live \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
[
{
"category_code": 10994,
"search_mode": "as_is",
"date_from": "2022-09-01",
"date_group": "month"
}
]
'import requests
url = "https://api.aisa.one/apis/v1/dataforseo/content_analysis/category_trends/live"
payload = [
{
"category_code": 10994,
"search_mode": "as_is",
"date_from": "2022-09-01",
"date_group": "month"
}
]
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([
{
category_code: 10994,
search_mode: 'as_is',
date_from: '2022-09-01',
date_group: 'month'
}
])
};
fetch('https://api.aisa.one/apis/v1/dataforseo/content_analysis/category_trends/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/category_trends/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([
[
'category_code' => 10994,
'search_mode' => 'as_is',
'date_from' => '2022-09-01',
'date_group' => 'month'
]
]),
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/category_trends/live"
payload := strings.NewReader("[\n {\n \"category_code\": 10994,\n \"search_mode\": \"as_is\",\n \"date_from\": \"2022-09-01\",\n \"date_group\": \"month\"\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/category_trends/live")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("[\n {\n \"category_code\": 10994,\n \"search_mode\": \"as_is\",\n \"date_from\": \"2022-09-01\",\n \"date_group\": \"month\"\n }\n]")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/dataforseo/content_analysis/category_trends/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 \"category_code\": 10994,\n \"search_mode\": \"as_is\",\n \"date_from\": \"2022-09-01\",\n \"date_group\": \"month\"\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": [
{
"type": "<string>",
"date": "<string>",
"total_count": 123,
"rank": 123,
"top_domains": [
{
"domain": "<string>",
"count": 123
}
],
"sentiment_connotations": {},
"connotation_types": {},
"text_categories": [
{
"category": [
123
],
"count": 123
}
],
"page_categories": [
{
"category": [
123
],
"count": 123
}
],
"page_types": {},
"countries": {},
"languages": {}
}
]
}
]
}post_dataforseo_content_phrase_trends_live 相同的分时段指标,但针对整个商品品类而不是单个关键词。category_code 取自 get_dataforseo_content_categories,date_from、date_to、date_group 决定区间和粒度,每段返回一个 date 加上 total_count、rank、top_domains(每项含 domain 和 count)、sentiment_connotations(anger / happiness / love / sadness / share / fun)、connotation_types(positive / negative / neutral)、text_categories、page_categories、page_types、countries 和 languages。响应统一包在 DataForSEO 的信封里——数据在 tasks[0].result。 用它看一个市场怎么动,而不是一个词;已经确定了具体措辞时改用 phrase 那个。
示例
curl -X POST "https://api.aisa.one/apis/v1/dataforseo/content_analysis/category_trends/live" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '[{"category_code": "...", "page_type": "...", "search_mode": "..."}]'
// 把整段复制给 Claude Code、Codex、Cursor 或任意 coding agent。
// 连接、授权、跑通这个例子需要的东西都在里面 ——
// 不用粘贴任何 key,浏览器里点一次 Allow 就好。
{
"operation_id": "post_dataforseo_content_category_trends_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/zh/api-reference/dataforseo/post_dataforseo-content-analysis-category-trends-live.md
// Then run the call and show me the result.
https://mcp.aisa.one/mcp —— Claude Code、
Codex、Cursor、VS Code 都可以。鉴权走 OAuth:客户端打开浏览器,你点一次
Allow,不需要粘贴任何 key。各客户端的具体命令和每次调用的价格见
aisa.one/zh-cn/mcp。授权
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
请求体
target category code
required field
to obtain a full list of available categories, refer to the Categories endpoint
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 data on all citations for the target category_codeone_per_domain - returns data on one citation of the category_code per domain
default value: as_is
maximum number of elements within internal arrays
optional field
you can use this field to limit the number of elements within the following arrays:top_domainstext_categoriespage_categoriescountrieslanguages
default value: 1
maximum value: 20
starting date of the time range
required field
minimum value: 2022-10-31
date format: "yyyy-mm-dd"
example:"2019-01-15"
ending date of the time range
optional field
if you don't specify this field, today's date will be used by default
date format: "yyyy-mm-dd"
example:"2019-01-15"
time range which will be used to group the results
optional field
default value: month
possible values: day, week, month
initial dataset filtering parameters
optional field
initial filtering parameters that apply to fields in the Search endpoint;
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, has, has_not, match, not_match
you can use the % operator with like and not_like to match any string of zero or more characters
example:["domain","<>", "logitech.com"]
[["domain","<>","logitech.com"],"and",["content_info.connotation_types.negative",">",1000]]
[["domain","<>","logitech.com"]],"and",[["content_info.connotation_types.negative",">",1000],"or",
["content_info.text_category","has",10994]]]
for more information about filters, please refer to Content Analysis API - Filters
learn more about the initial dataset filters in this help center article.
defines the scale used for calculating and displaying the 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
[
{
"category_code": 10994,
"search_mode": "as_is",
"date_from": "2022-09-01",
"date_group": "month"
}
]
响应
Successful operation
API 的当前版本
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
任务总成本(美元)
tasks 数组中的任务数量
返回错误的 tasks 数组中的任务数量
array of tasks
Show child attributes
Show child attributes