curl --request POST \
--url https://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research \
--header 'Content-Type: application/json' \
--header 'X-API-KEY: <api-key>' \
--data '
{
"research_type": "standard"
}
'import requests
url = "https://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research"
payload = { "research_type": "standard" }
headers = {
"X-API-KEY": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'X-API-KEY': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({research_type: 'standard'})
};
fetch('https://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-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://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-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([
'research_type' => 'standard'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"X-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://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research"
payload := strings.NewReader("{\n \"research_type\": \"standard\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-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://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research")
.header("X-API-KEY", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"research_type\": \"standard\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-API-KEY"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"research_type\": \"standard\"\n}"
response = http.request(request)
puts response.read_body{
"data": {
"status": "processing",
"estimated_completion": "2023-11-07T05:31:56Z"
},
"meta": {
"request_id": "req_9k4m2n1p3q",
"page": {
"cursor": "<string>",
"has_more": true
}
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}Trigger AI research
Initiate AI-powered research for an alert. The AI analyzes available data, performs open-source intelligence gathering, and produces a structured assessment with confidence scoring and recommended actions.
AI research runs asynchronously. Poll the GET endpoint or await the webhook for results.
curl --request POST \
--url https://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research \
--header 'Content-Type: application/json' \
--header 'X-API-KEY: <api-key>' \
--data '
{
"research_type": "standard"
}
'import requests
url = "https://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research"
payload = { "research_type": "standard" }
headers = {
"X-API-KEY": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'X-API-KEY': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({research_type: 'standard'})
};
fetch('https://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-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://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-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([
'research_type' => 'standard'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"X-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://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research"
payload := strings.NewReader("{\n \"research_type\": \"standard\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-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://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research")
.header("X-API-KEY", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"research_type\": \"standard\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://instance.prod.onboardapp.io/v1/alerts/{alert_token}/ai-research")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-API-KEY"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"research_type\": \"standard\"\n}"
response = http.request(request)
puts response.read_body{
"data": {
"status": "processing",
"estimated_completion": "2023-11-07T05:31:56Z"
},
"meta": {
"request_id": "req_9k4m2n1p3q",
"page": {
"cursor": "<string>",
"has_more": true
}
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}{
"error": {
"message": "<string>",
"request_id": "req_9k4m2n1p3q",
"details": [
{
"field": "<string>",
"message": "<string>",
"code": "<string>"
}
]
}
}Authorizations
Project-scoped API key for server-to-server authentication. Obtain keys from the Zenoo dashboard under Project Settings > API Keys. Staging and production environments use separate keys.
Headers
Unique key for idempotent request handling. If a request with the same key was already processed within the last 24 hours, the original response is returned.
Path Parameters
Alert token.
Body
Research depth. standard provides quick analysis (30-60s).
deep performs comprehensive investigation (2-5 minutes).
standard, deep