curl --request POST \
--url https://openapi.enginy.ai/v1/ai-finder/import \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"listId": 123,
"maxCount": 500,
"text": "VP Finance at companies in California",
"type": "contacts"
}
'import requests
url = "https://openapi.enginy.ai/v1/ai-finder/import"
payload = {
"listId": 123,
"maxCount": 500,
"text": "VP Finance at companies in California",
"type": "contacts"
}
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({
listId: 123,
maxCount: 500,
text: 'VP Finance at companies in California',
type: 'contacts'
})
};
fetch('https://openapi.enginy.ai/v1/ai-finder/import', 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://openapi.enginy.ai/v1/ai-finder/import",
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([
'listId' => 123,
'maxCount' => 500,
'text' => 'VP Finance at companies in California',
'type' => 'contacts'
]),
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://openapi.enginy.ai/v1/ai-finder/import"
payload := strings.NewReader("{\n \"listId\": 123,\n \"maxCount\": 500,\n \"text\": \"VP Finance at companies in California\",\n \"type\": \"contacts\"\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://openapi.enginy.ai/v1/ai-finder/import")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"listId\": 123,\n \"maxCount\": 500,\n \"text\": \"VP Finance at companies in California\",\n \"type\": \"contacts\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://openapi.enginy.ai/v1/ai-finder/import")
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 \"listId\": 123,\n \"maxCount\": 500,\n \"text\": \"VP Finance at companies in California\",\n \"type\": \"contacts\"\n}"
response = http.request(request)
puts response.read_body{
"status": "success",
"message": "<string>",
"data": {
"actionsId": 123,
"createdAt": "2023-11-07T05:31:56Z",
"type": "CONTACTS",
"listId": 123,
"workflowId": "<string>"
}
}Import a list from AI Finder
Use AI Finder to generate a new contact or company search, then import the results into a destination list. This is the right workflow when the user asks for a new prospecting list rather than existing records already stored in Enginy. Returns an actions ID that can be monitored via GET /v1/actions//status and queried via the existing contacts/companies endpoints using the actionsId filter. This endpoint always runs a brand-new search from text and does not accept a previewId — if you already have one from POST /v1/ai-finder/previews (or its iterate endpoint), use POST /v1/ai-finder/previews//import instead so your refinements are preserved.
Required scope:
ACTIONS_WRITERate limit: 10 requests per minute
curl --request POST \
--url https://openapi.enginy.ai/v1/ai-finder/import \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"listId": 123,
"maxCount": 500,
"text": "VP Finance at companies in California",
"type": "contacts"
}
'import requests
url = "https://openapi.enginy.ai/v1/ai-finder/import"
payload = {
"listId": 123,
"maxCount": 500,
"text": "VP Finance at companies in California",
"type": "contacts"
}
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({
listId: 123,
maxCount: 500,
text: 'VP Finance at companies in California',
type: 'contacts'
})
};
fetch('https://openapi.enginy.ai/v1/ai-finder/import', 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://openapi.enginy.ai/v1/ai-finder/import",
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([
'listId' => 123,
'maxCount' => 500,
'text' => 'VP Finance at companies in California',
'type' => 'contacts'
]),
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://openapi.enginy.ai/v1/ai-finder/import"
payload := strings.NewReader("{\n \"listId\": 123,\n \"maxCount\": 500,\n \"text\": \"VP Finance at companies in California\",\n \"type\": \"contacts\"\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://openapi.enginy.ai/v1/ai-finder/import")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"listId\": 123,\n \"maxCount\": 500,\n \"text\": \"VP Finance at companies in California\",\n \"type\": \"contacts\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://openapi.enginy.ai/v1/ai-finder/import")
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 \"listId\": 123,\n \"maxCount\": 500,\n \"text\": \"VP Finance at companies in California\",\n \"type\": \"contacts\"\n}"
response = http.request(request)
puts response.read_body{
"status": "success",
"message": "<string>",
"data": {
"actionsId": 123,
"createdAt": "2023-11-07T05:31:56Z",
"type": "CONTACTS",
"listId": 123,
"workflowId": "<string>"
}
}Authorizations
Body
Natural-language description of the people or companies you want AI Finder to locate.
1 - 500Entity type to search and import. This determines whether listId refers to a contact list or a company list.
contacts, companies Maximum number of results to import. Must be between 100 and 2500, inclusive, in increments of 100.
100 <= x <= 2500Destination list ID. Must be a contact list for contacts or a company list for companies.