公司扩张详情

公司扩张详情

curl --request POST \
  --url https://api.pubrio.com/expansions/companies/lookup \
  --header 'Content-Type: application/json' \
  --header 'pubrio-api-key: <api-key>' \
  --data '
{
  "domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "country_code": "US",
  "is_all_markets": false,
  "signal_type": "EXEC",
  "query": "We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.",
  "is_explain_match": true,
  "window_days": 90,
  "transitioned_dates": [
    "2026-04-01",
    "2026-06-29"
  ],
  "domain": "pubrio.com",
  "linkedin_url": "https://www.linkedin.com/company/pubrio",
  "is_include_established": false,
  "page": 1,
  "per_page": 25,
  "is_include_metadata": true,
  "summary_only": true,
  "markets_summary_full": true
}
'

import requests

url = "https://api.pubrio.com/expansions/companies/lookup"

payload = {
    "domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "country_code": "US",
    "is_all_markets": False,
    "signal_type": "EXEC",
    "query": "We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.",
    "is_explain_match": True,
    "window_days": 90,
    "transitioned_dates": ["2026-04-01", "2026-06-29"],
    "domain": "pubrio.com",
    "linkedin_url": "https://www.linkedin.com/company/pubrio",
    "is_include_established": False,
    "page": 1,
    "per_page": 25,
    "is_include_metadata": True,
    "summary_only": True,
    "markets_summary_full": True
}
headers = {
    "pubrio-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'pubrio-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    domain_search_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    country_code: 'US',
    is_all_markets: false,
    signal_type: 'EXEC',
    query: 'We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.',
    is_explain_match: true,
    window_days: 90,
    transitioned_dates: ['2026-04-01', '2026-06-29'],
    domain: 'pubrio.com',
    linkedin_url: 'https://www.linkedin.com/company/pubrio',
    is_include_established: false,
    page: 1,
    per_page: 25,
    is_include_metadata: true,
    summary_only: true,
    markets_summary_full: true
  })
};

fetch('https://api.pubrio.com/expansions/companies/lookup', 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.pubrio.com/expansions/companies/lookup",
  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([
    'domain_search_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'country_code' => 'US',
    'is_all_markets' => false,
    'signal_type' => 'EXEC',
    'query' => 'We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.',
    'is_explain_match' => true,
    'window_days' => 90,
    'transitioned_dates' => [
        '2026-04-01',
        '2026-06-29'
    ],
    'domain' => 'pubrio.com',
    'linkedin_url' => 'https://www.linkedin.com/company/pubrio',
    'is_include_established' => false,
    'page' => 1,
    'per_page' => 25,
    'is_include_metadata' => true,
    'summary_only' => true,
    'markets_summary_full' => true
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "pubrio-api-key: <api-key>"
  ],
]);

$response = curl_exec($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.pubrio.com/expansions/companies/lookup"

	payload := strings.NewReader("{\n  \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"country_code\": \"US\",\n  \"is_all_markets\": false,\n  \"signal_type\": \"EXEC\",\n  \"query\": \"We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.\",\n  \"is_explain_match\": true,\n  \"window_days\": 90,\n  \"transitioned_dates\": [\n    \"2026-04-01\",\n    \"2026-06-29\"\n  ],\n  \"domain\": \"pubrio.com\",\n  \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n  \"is_include_established\": false,\n  \"page\": 1,\n  \"per_page\": 25,\n  \"is_include_metadata\": true,\n  \"summary_only\": true,\n  \"markets_summary_full\": true\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("pubrio-api-key", "<api-key>")
	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.pubrio.com/expansions/companies/lookup")
  .header("pubrio-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"country_code\": \"US\",\n  \"is_all_markets\": false,\n  \"signal_type\": \"EXEC\",\n  \"query\": \"We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.\",\n  \"is_explain_match\": true,\n  \"window_days\": 90,\n  \"transitioned_dates\": [\n    \"2026-04-01\",\n    \"2026-06-29\"\n  ],\n  \"domain\": \"pubrio.com\",\n  \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n  \"is_include_established\": false,\n  \"page\": 1,\n  \"per_page\": 25,\n  \"is_include_metadata\": true,\n  \"summary_only\": true,\n  \"markets_summary_full\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.pubrio.com/expansions/companies/lookup")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["pubrio-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"country_code\": \"US\",\n  \"is_all_markets\": false,\n  \"signal_type\": \"EXEC\",\n  \"query\": \"We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.\",\n  \"is_explain_match\": true,\n  \"window_days\": 90,\n  \"transitioned_dates\": [\n    \"2026-04-01\",\n    \"2026-06-29\"\n  ],\n  \"domain\": \"pubrio.com\",\n  \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n  \"is_include_established\": false,\n  \"page\": 1,\n  \"per_page\": 25,\n  \"is_include_metadata\": true,\n  \"summary_only\": true,\n  \"markets_summary_full\": true\n}"

response = http.request(request)
puts response.read_body

{
  "metadata": {
    "filters": {
      "domain_search_id": "550e8400-e29b-41d4-a716-446655440002",
      "country_code": "US"
    },
    "country_code_auto_picked": false,
    "pagination": {
      "page": 1,
      "per_page": 25,
      "total_entries": 12,
      "total_pages": 1,
      "total_display_pages": 1,
      "is_timeout": false
    }
  },
  "data": {
    "domain_search_id": "550e8400-e29b-41d4-a716-446655440002",
    "country_code": "US",
    "country_name": "United States",
    "stage_rank": 3,
    "stage_name": "Expanding",
    "stage": {
      "slug": "expanding",
      "expansion_score": 0.721,
      "scope": "entering_new_market",
      "direction": "advancing",
      "freshness": "fresh",
      "contraction_flag": null,
      "mode_change_flag": false,
      "signal_count": 5,
      "distinct_type_count": 3,
      "has_known_presence": false,
      "first_signal_at": "2026-05-30T09:00:00.000Z",
      "latest_signal_at": "2026-06-20T14:00:00.000Z",
      "last_transition_at": "2026-06-15T09:30:00.000Z"
    }
  },
  "signals": [
    {
      "signal_type_slug": "EXEC",
      "signal_subtype_slug": "country_manager",
      "signal_strength_slug": "high",
      "polarity": "expansion",
      "event_date": "2026-06-20T14:00:00.000Z",
      "source_type": "linkedin",
      "display_label": "Hired Regional VP for North America",
      "evidence_url": "https://linkedin.com/company/example-corp",
      "source_published_at": "2026-06-20T14:00:00.000Z",
      "lead_time_days": 0
    }
  ],
  "presence": [
    {
      "presence_type": "office",
      "presence_strength": "high",
      "address": "123 Market St, San Francisco, CA",
      "known_since": "2026-03-15T00:00:00.000Z"
    }
  ],
  "timeline": [
    {
      "stage_slug": "expanding",
      "transitioned_at": "2026-06-15T09:30:00.000Z",
      "transition_kind": "advance"
    }
  ],
  "other_markets": [
    {
      "country_code": "CA",
      "stage_slug": "committing",
      "signal_count": 8,
      "first_signal_at": "2026-04-10T00:00:00.000Z",
      "latest_signal_at": "2026-06-22T16:45:00.000Z",
      "last_transition_at": "2026-06-18T00:00:00.000Z"
    }
  ]
}

POST

expansions

companies

lookup

公司扩张详情

curl --request POST \
  --url https://api.pubrio.com/expansions/companies/lookup \
  --header 'Content-Type: application/json' \
  --header 'pubrio-api-key: <api-key>' \
  --data '
{
  "domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "country_code": "US",
  "is_all_markets": false,
  "signal_type": "EXEC",
  "query": "We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.",
  "is_explain_match": true,
  "window_days": 90,
  "transitioned_dates": [
    "2026-04-01",
    "2026-06-29"
  ],
  "domain": "pubrio.com",
  "linkedin_url": "https://www.linkedin.com/company/pubrio",
  "is_include_established": false,
  "page": 1,
  "per_page": 25,
  "is_include_metadata": true,
  "summary_only": true,
  "markets_summary_full": true
}
'

import requests

url = "https://api.pubrio.com/expansions/companies/lookup"

payload = {
    "domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "country_code": "US",
    "is_all_markets": False,
    "signal_type": "EXEC",
    "query": "We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.",
    "is_explain_match": True,
    "window_days": 90,
    "transitioned_dates": ["2026-04-01", "2026-06-29"],
    "domain": "pubrio.com",
    "linkedin_url": "https://www.linkedin.com/company/pubrio",
    "is_include_established": False,
    "page": 1,
    "per_page": 25,
    "is_include_metadata": True,
    "summary_only": True,
    "markets_summary_full": True
}
headers = {
    "pubrio-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'pubrio-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    domain_search_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    country_code: 'US',
    is_all_markets: false,
    signal_type: 'EXEC',
    query: 'We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.',
    is_explain_match: true,
    window_days: 90,
    transitioned_dates: ['2026-04-01', '2026-06-29'],
    domain: 'pubrio.com',
    linkedin_url: 'https://www.linkedin.com/company/pubrio',
    is_include_established: false,
    page: 1,
    per_page: 25,
    is_include_metadata: true,
    summary_only: true,
    markets_summary_full: true
  })
};

fetch('https://api.pubrio.com/expansions/companies/lookup', 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.pubrio.com/expansions/companies/lookup",
  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([
    'domain_search_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'country_code' => 'US',
    'is_all_markets' => false,
    'signal_type' => 'EXEC',
    'query' => 'We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.',
    'is_explain_match' => true,
    'window_days' => 90,
    'transitioned_dates' => [
        '2026-04-01',
        '2026-06-29'
    ],
    'domain' => 'pubrio.com',
    'linkedin_url' => 'https://www.linkedin.com/company/pubrio',
    'is_include_established' => false,
    'page' => 1,
    'per_page' => 25,
    'is_include_metadata' => true,
    'summary_only' => true,
    'markets_summary_full' => true
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "pubrio-api-key: <api-key>"
  ],
]);

$response = curl_exec($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.pubrio.com/expansions/companies/lookup"

	payload := strings.NewReader("{\n  \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"country_code\": \"US\",\n  \"is_all_markets\": false,\n  \"signal_type\": \"EXEC\",\n  \"query\": \"We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.\",\n  \"is_explain_match\": true,\n  \"window_days\": 90,\n  \"transitioned_dates\": [\n    \"2026-04-01\",\n    \"2026-06-29\"\n  ],\n  \"domain\": \"pubrio.com\",\n  \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n  \"is_include_established\": false,\n  \"page\": 1,\n  \"per_page\": 25,\n  \"is_include_metadata\": true,\n  \"summary_only\": true,\n  \"markets_summary_full\": true\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("pubrio-api-key", "<api-key>")
	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.pubrio.com/expansions/companies/lookup")
  .header("pubrio-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"country_code\": \"US\",\n  \"is_all_markets\": false,\n  \"signal_type\": \"EXEC\",\n  \"query\": \"We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.\",\n  \"is_explain_match\": true,\n  \"window_days\": 90,\n  \"transitioned_dates\": [\n    \"2026-04-01\",\n    \"2026-06-29\"\n  ],\n  \"domain\": \"pubrio.com\",\n  \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n  \"is_include_established\": false,\n  \"page\": 1,\n  \"per_page\": 25,\n  \"is_include_metadata\": true,\n  \"summary_only\": true,\n  \"markets_summary_full\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.pubrio.com/expansions/companies/lookup")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["pubrio-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"country_code\": \"US\",\n  \"is_all_markets\": false,\n  \"signal_type\": \"EXEC\",\n  \"query\": \"We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity.\",\n  \"is_explain_match\": true,\n  \"window_days\": 90,\n  \"transitioned_dates\": [\n    \"2026-04-01\",\n    \"2026-06-29\"\n  ],\n  \"domain\": \"pubrio.com\",\n  \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n  \"is_include_established\": false,\n  \"page\": 1,\n  \"per_page\": 25,\n  \"is_include_metadata\": true,\n  \"summary_only\": true,\n  \"markets_summary_full\": true\n}"

response = http.request(request)
puts response.read_body

{
  "metadata": {
    "filters": {
      "domain_search_id": "550e8400-e29b-41d4-a716-446655440002",
      "country_code": "US"
    },
    "country_code_auto_picked": false,
    "pagination": {
      "page": 1,
      "per_page": 25,
      "total_entries": 12,
      "total_pages": 1,
      "total_display_pages": 1,
      "is_timeout": false
    }
  },
  "data": {
    "domain_search_id": "550e8400-e29b-41d4-a716-446655440002",
    "country_code": "US",
    "country_name": "United States",
    "stage_rank": 3,
    "stage_name": "Expanding",
    "stage": {
      "slug": "expanding",
      "expansion_score": 0.721,
      "scope": "entering_new_market",
      "direction": "advancing",
      "freshness": "fresh",
      "contraction_flag": null,
      "mode_change_flag": false,
      "signal_count": 5,
      "distinct_type_count": 3,
      "has_known_presence": false,
      "first_signal_at": "2026-05-30T09:00:00.000Z",
      "latest_signal_at": "2026-06-20T14:00:00.000Z",
      "last_transition_at": "2026-06-15T09:30:00.000Z"
    }
  },
  "signals": [
    {
      "signal_type_slug": "EXEC",
      "signal_subtype_slug": "country_manager",
      "signal_strength_slug": "high",
      "polarity": "expansion",
      "event_date": "2026-06-20T14:00:00.000Z",
      "source_type": "linkedin",
      "display_label": "Hired Regional VP for North America",
      "evidence_url": "https://linkedin.com/company/example-corp",
      "source_published_at": "2026-06-20T14:00:00.000Z",
      "lead_time_days": 0
    }
  ],
  "presence": [
    {
      "presence_type": "office",
      "presence_strength": "high",
      "address": "123 Market St, San Francisco, CA",
      "known_since": "2026-03-15T00:00:00.000Z"
    }
  ],
  "timeline": [
    {
      "stage_slug": "expanding",
      "transitioned_at": "2026-06-15T09:30:00.000Z",
      "transition_kind": "advance"
    }
  ],
  "other_markets": [
    {
      "country_code": "CA",
      "stage_slug": "committing",
      "signal_count": 8,
      "first_signal_at": "2026-04-10T00:00:00.000Z",
      "latest_signal_at": "2026-06-22T16:45:00.000Z",
      "last_transition_at": "2026-06-18T00:00:00.000Z"
    }
  ]
}

授权

pubrio-api-key

string

header

必填

一个唯一的 API 令牌，用于标识您通过 API 执行的操作以及相应的权限和操作。您可以在设置部分创建该令牌。

请求体

application/json

Domain Search ID
域名
LinkedIn URL

domain_search_id

string<uuid>

必填

用于公司检索操作的唯一标识符。

country_code

string

目标市场，采用 ISO 3166-1 alpha-2（cca2）国家代码。省略时将自动选择该公司最活跃的单个市场；如需所有市场的跨市场视图，请设置 is_all_markets。

示例:

"US"

is_all_markets

boolean

在一次调用中返回公司在所有市场的整体扩张情况，而非单一市场。设为 true 时，将忽略 country_code，在能够识别本土市场时将其从信号汇总中排除，data 变为公司级别的汇总（主导阶段、信号总数、时间跨度、最高扩张分数），并且 markets_summary 列出每个市场。默认为 false。

示例:

false

signal_type

enum<string>

将返回的信号筛选至单一类型。

可用选项:

AD,

NEWS,

DNS,

INFRA,

PARTNER,

EVENT_PLUS,

EXEC,

OFFICE,

HIRE,

SCALE,

PRODUCT

示例:

"EXEC"

query

string

用纯文本描述你所销售的产品，或你正在评估这家公司是否契合的目标买家画像。仅用于为 AI summary 提供依据（见 is_explain_match）；与公司搜索不同，此处不会将其解析为筛选条件。

示例:

"We sell Employer-of-Record and local payroll; best-fit buyers hire in a new market before setting up a legal entity."

is_explain_match

boolean

为 true 且提供了 query 时,summary 返回针对当前范围(所选市场,或当 is_all_markets 为 true 时的所有海外市场)内该公司扩张活动的单条 AI 摘要,依据你的 query 解读,并基于公司的真实信号给出 [n] 引用。

示例:

true

window_days

integer

默认值:90

可选。限定 AI summary 所依据信号流的滚动时间窗口(天)。当本参数与 transitioned_dates 均未提供时默认为 90。不影响分页的 signals 列表(完整历史)。

示例:

90

transitioned_dates

string<date>[]

信号/转换窗口的 ISO [from, to] 日期范围。如果同时提供了 window_days,则此参数优先。

示例:

["2026-04-01", "2026-06-29"]

domain

string

用于公司检索操作的公司域名。如果收到的地址为 www.pubrio.com 或 https://docs.pubrio.com/，系统会自动转换为 pubrio.com 进行处理。

示例:

"pubrio.com"

linkedin_url

string

LinkedIn 公司主页的完整 URL。URL 需以 http 开头且包含 linkedin.com/company/。

示例:

"https://www.linkedin.com/company/pubrio"

is_include_established

boolean

包含 established 阶段（无活跃扩张信号的长期运营者）。默认为 false。

示例:

false

page

integer

默认值:1

页码，从 1 开始。上限为订阅中的 max_search_page（公司搜索为 max_company_search_page），可通过 Profile 获取。超出会返回 HTTP 416。

示例:

1

per_page

integer

默认值:25

每页记录数。默认 25，在大多数套餐下这也是上限 —— 该限制即订阅中的 max_search_per_page，可通过 Profile 获取。超出会返回 HTTP 416 及错误码 41676（公司与人物搜索为 41613），而不是自动截断结果。

必填范围: x <= 25

示例:

25

is_include_metadata

boolean

返回完整的详细信息负载。API 密钥请求默认返回精简结果：除非此项为 true，否则将省略 model 区块、置信度数值（公司扩张详情中的 stage.confidence，以及 other_markets[] 和排名 markers[] 中的 confidence_score），以及 established_min / share_of_detected / has_known_office 字段。

示例:

true

summary_only

boolean

仅返回阶段摘要区块（data、company、markets_summary、signal_weekly_totals、recent_signals、expansion_score、summary），跳过信号列表及其聚合。适用于头部概览视图，开销更低。

示例:

true

markets_summary_full

boolean

在受限的 other_markets 列表之外，额外返回完整的市场排名集合 markets_summary。

示例:

true

响应

200 - application/json

公司在某市场的详情。

metadata

object

data

any

signals

object[]

该公司/市场组合背后的分页信号行，即证据列表。分页大小与总数见 metadata.pagination。

summary

object

该组合的单行阶段摘要。仅在第一页返回。

company

object

公司基础信息——名称、域名、Logo 及社交链接。仅在第一页返回。

signal_group_totals

object[]

按类型统计的信号数量，按你所在时区的日期分桶。仅在第一页返回。

signal_type_totals

object[]

各信号类型的历史累计数量。仅在第一页返回。

signal_type_recent_totals

object[]

最近 12 周内各信号类型的数量。仅在第一页返回。

signal_weekly_totals

object[]

用于热力图的每周信号数量，时间窗口与 signal_type_recent_totals 一致。仅在第一页返回。

evidence_breakdown

object

按来源类型汇总的证据统计，基于返回的（已脱敏）信号计算。仅在第一页返回。

presence

object

该公司在此市场中观察到的实体与数字化存在。仅在第一页返回。

suppressions

object[]

在阶段计算中被抑制的信号及其原因。仅在第一页返回。

timeline

object[]

该公司/市场组合的阶段转换历史。仅在第一页返回。

other_markets

object[]

该公司的其他活跃市场。受套餐限制时会截断，详见 other_markets_locked_count。仅在第一页返回。

other_markets_locked_count

integer

由于套餐限制而未在 other_markets 中返回的市场数量。未被截断时为 0。

markets_summary

object[]

该公司完整的市场排名集合。仅当 markets_summary_full 为 true 且在第一页时返回。

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