curl --request POST \
--url https://api-lr.agent.ai/v1/action/company_research_v2_run_full_research \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"domain": "<string>",
"output_variable_name": "research_report",
"section_company_overview": true,
"section_visual_timeline": true,
"section_product_summary": true,
"section_homepage_screenshot": true,
"section_technology_stack": true,
"section_wappalyzer_technologies": true,
"section_search_keywords": true,
"section_financials": true,
"section_funding_history": true,
"section_web_traffic": true,
"section_news": true,
"section_people": true,
"section_competitors": true,
"section_job_openings": true,
"section_contact": true,
"section_g2_reviews": true,
"force_refresh": false
}
'import requests
url = "https://api-lr.agent.ai/v1/action/company_research_v2_run_full_research"
payload = {
"domain": "<string>",
"output_variable_name": "research_report",
"section_company_overview": True,
"section_visual_timeline": True,
"section_product_summary": True,
"section_homepage_screenshot": True,
"section_technology_stack": True,
"section_wappalyzer_technologies": True,
"section_search_keywords": True,
"section_financials": True,
"section_funding_history": True,
"section_web_traffic": True,
"section_news": True,
"section_people": True,
"section_competitors": True,
"section_job_openings": True,
"section_contact": True,
"section_g2_reviews": True,
"force_refresh": False
}
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({
domain: '<string>',
output_variable_name: 'research_report',
section_company_overview: true,
section_visual_timeline: true,
section_product_summary: true,
section_homepage_screenshot: true,
section_technology_stack: true,
section_wappalyzer_technologies: true,
section_search_keywords: true,
section_financials: true,
section_funding_history: true,
section_web_traffic: true,
section_news: true,
section_people: true,
section_competitors: true,
section_job_openings: true,
section_contact: true,
section_g2_reviews: true,
force_refresh: false
})
};
fetch('https://api-lr.agent.ai/v1/action/company_research_v2_run_full_research', 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-lr.agent.ai/v1/action/company_research_v2_run_full_research",
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' => '<string>',
'output_variable_name' => 'research_report',
'section_company_overview' => true,
'section_visual_timeline' => true,
'section_product_summary' => true,
'section_homepage_screenshot' => true,
'section_technology_stack' => true,
'section_wappalyzer_technologies' => true,
'section_search_keywords' => true,
'section_financials' => true,
'section_funding_history' => true,
'section_web_traffic' => true,
'section_news' => true,
'section_people' => true,
'section_competitors' => true,
'section_job_openings' => true,
'section_contact' => true,
'section_g2_reviews' => true,
'force_refresh' => false
]),
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-lr.agent.ai/v1/action/company_research_v2_run_full_research"
payload := strings.NewReader("{\n \"domain\": \"<string>\",\n \"output_variable_name\": \"research_report\",\n \"section_company_overview\": true,\n \"section_visual_timeline\": true,\n \"section_product_summary\": true,\n \"section_homepage_screenshot\": true,\n \"section_technology_stack\": true,\n \"section_wappalyzer_technologies\": true,\n \"section_search_keywords\": true,\n \"section_financials\": true,\n \"section_funding_history\": true,\n \"section_web_traffic\": true,\n \"section_news\": true,\n \"section_people\": true,\n \"section_competitors\": true,\n \"section_job_openings\": true,\n \"section_contact\": true,\n \"section_g2_reviews\": true,\n \"force_refresh\": false\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-lr.agent.ai/v1/action/company_research_v2_run_full_research")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"domain\": \"<string>\",\n \"output_variable_name\": \"research_report\",\n \"section_company_overview\": true,\n \"section_visual_timeline\": true,\n \"section_product_summary\": true,\n \"section_homepage_screenshot\": true,\n \"section_technology_stack\": true,\n \"section_wappalyzer_technologies\": true,\n \"section_search_keywords\": true,\n \"section_financials\": true,\n \"section_funding_history\": true,\n \"section_web_traffic\": true,\n \"section_news\": true,\n \"section_people\": true,\n \"section_competitors\": true,\n \"section_job_openings\": true,\n \"section_contact\": true,\n \"section_g2_reviews\": true,\n \"force_refresh\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-lr.agent.ai/v1/action/company_research_v2_run_full_research")
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 \"domain\": \"<string>\",\n \"output_variable_name\": \"research_report\",\n \"section_company_overview\": true,\n \"section_visual_timeline\": true,\n \"section_product_summary\": true,\n \"section_homepage_screenshot\": true,\n \"section_technology_stack\": true,\n \"section_wappalyzer_technologies\": true,\n \"section_search_keywords\": true,\n \"section_financials\": true,\n \"section_funding_history\": true,\n \"section_web_traffic\": true,\n \"section_news\": true,\n \"section_people\": true,\n \"section_competitors\": true,\n \"section_job_openings\": true,\n \"section_contact\": true,\n \"section_g2_reviews\": true,\n \"force_refresh\": false\n}"
response = http.request(request)
puts response.read_body{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}[CRFull] Run Full Company Research
Run comprehensive company research with configurable sections. Returns full JSON report with all data.
curl --request POST \
--url https://api-lr.agent.ai/v1/action/company_research_v2_run_full_research \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"domain": "<string>",
"output_variable_name": "research_report",
"section_company_overview": true,
"section_visual_timeline": true,
"section_product_summary": true,
"section_homepage_screenshot": true,
"section_technology_stack": true,
"section_wappalyzer_technologies": true,
"section_search_keywords": true,
"section_financials": true,
"section_funding_history": true,
"section_web_traffic": true,
"section_news": true,
"section_people": true,
"section_competitors": true,
"section_job_openings": true,
"section_contact": true,
"section_g2_reviews": true,
"force_refresh": false
}
'import requests
url = "https://api-lr.agent.ai/v1/action/company_research_v2_run_full_research"
payload = {
"domain": "<string>",
"output_variable_name": "research_report",
"section_company_overview": True,
"section_visual_timeline": True,
"section_product_summary": True,
"section_homepage_screenshot": True,
"section_technology_stack": True,
"section_wappalyzer_technologies": True,
"section_search_keywords": True,
"section_financials": True,
"section_funding_history": True,
"section_web_traffic": True,
"section_news": True,
"section_people": True,
"section_competitors": True,
"section_job_openings": True,
"section_contact": True,
"section_g2_reviews": True,
"force_refresh": False
}
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({
domain: '<string>',
output_variable_name: 'research_report',
section_company_overview: true,
section_visual_timeline: true,
section_product_summary: true,
section_homepage_screenshot: true,
section_technology_stack: true,
section_wappalyzer_technologies: true,
section_search_keywords: true,
section_financials: true,
section_funding_history: true,
section_web_traffic: true,
section_news: true,
section_people: true,
section_competitors: true,
section_job_openings: true,
section_contact: true,
section_g2_reviews: true,
force_refresh: false
})
};
fetch('https://api-lr.agent.ai/v1/action/company_research_v2_run_full_research', 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-lr.agent.ai/v1/action/company_research_v2_run_full_research",
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' => '<string>',
'output_variable_name' => 'research_report',
'section_company_overview' => true,
'section_visual_timeline' => true,
'section_product_summary' => true,
'section_homepage_screenshot' => true,
'section_technology_stack' => true,
'section_wappalyzer_technologies' => true,
'section_search_keywords' => true,
'section_financials' => true,
'section_funding_history' => true,
'section_web_traffic' => true,
'section_news' => true,
'section_people' => true,
'section_competitors' => true,
'section_job_openings' => true,
'section_contact' => true,
'section_g2_reviews' => true,
'force_refresh' => false
]),
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-lr.agent.ai/v1/action/company_research_v2_run_full_research"
payload := strings.NewReader("{\n \"domain\": \"<string>\",\n \"output_variable_name\": \"research_report\",\n \"section_company_overview\": true,\n \"section_visual_timeline\": true,\n \"section_product_summary\": true,\n \"section_homepage_screenshot\": true,\n \"section_technology_stack\": true,\n \"section_wappalyzer_technologies\": true,\n \"section_search_keywords\": true,\n \"section_financials\": true,\n \"section_funding_history\": true,\n \"section_web_traffic\": true,\n \"section_news\": true,\n \"section_people\": true,\n \"section_competitors\": true,\n \"section_job_openings\": true,\n \"section_contact\": true,\n \"section_g2_reviews\": true,\n \"force_refresh\": false\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-lr.agent.ai/v1/action/company_research_v2_run_full_research")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"domain\": \"<string>\",\n \"output_variable_name\": \"research_report\",\n \"section_company_overview\": true,\n \"section_visual_timeline\": true,\n \"section_product_summary\": true,\n \"section_homepage_screenshot\": true,\n \"section_technology_stack\": true,\n \"section_wappalyzer_technologies\": true,\n \"section_search_keywords\": true,\n \"section_financials\": true,\n \"section_funding_history\": true,\n \"section_web_traffic\": true,\n \"section_news\": true,\n \"section_people\": true,\n \"section_competitors\": true,\n \"section_job_openings\": true,\n \"section_contact\": true,\n \"section_g2_reviews\": true,\n \"force_refresh\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-lr.agent.ai/v1/action/company_research_v2_run_full_research")
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 \"domain\": \"<string>\",\n \"output_variable_name\": \"research_report\",\n \"section_company_overview\": true,\n \"section_visual_timeline\": true,\n \"section_product_summary\": true,\n \"section_homepage_screenshot\": true,\n \"section_technology_stack\": true,\n \"section_wappalyzer_technologies\": true,\n \"section_search_keywords\": true,\n \"section_financials\": true,\n \"section_funding_history\": true,\n \"section_web_traffic\": true,\n \"section_news\": true,\n \"section_people\": true,\n \"section_competitors\": true,\n \"section_job_openings\": true,\n \"section_contact\": true,\n \"section_g2_reviews\": true,\n \"force_refresh\": false\n}"
response = http.request(request)
puts response.read_body{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}{
"status": 123,
"response": {}
}Authorizations
Bearer token from your account (https://agent.ai/user/integrations#api)
Body
Domain to research (e.g., hubspot.com).
Variable name for the full research report JSON.
^[a-zA-Z][a-zA-Z0-9_]*$Include company description, industry, employee count, headquarters.
Include AI-generated visual infographic of company milestones and history.
Include product descriptions and G2 ratings.
Include screenshot of company homepage.
Include technologies, social media profiles, and follower counts.
Include detailed technology detection from Wappalyzer.
Include SEO keyword analysis with PPC and organic metrics.
Include revenue, market cap, profit margins (public companies).
Include funding rounds and investors.
Include website traffic trends and visitor metrics.
Include recent news and press coverage.
Include executives and leadership with LinkedIn URLs.
Include competitor analysis with differentiation.
Include current job listings.
Include company contact details.
Include G2 review summary and ratings.
Bypass cache and fetch fresh data.

