AI enrich tracked search results
curl --request POST \
--url https://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich \
--header 'Content-Type: application/json' \
--data @- <<EOF
{
"prompt": "Classify the author's buying intent in one short phrase."
}
EOFimport requests
url = "https://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich"
payload = { "prompt": "Classify the author's buying intent in one short phrase." }
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({prompt: 'Classify the author\'s buying intent in one short phrase.'})
};
fetch('https://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich', 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://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich",
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([
'prompt' => 'Classify the author\'s buying intent in one short phrase.'
]),
CURLOPT_HTTPHEADER => [
"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://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich"
payload := strings.NewReader("{\n \"prompt\": \"Classify the author's buying intent in one short phrase.\"\n}")
req, _ := http.NewRequest("POST", url, payload)
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://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"Classify the author's buying intent in one short phrase.\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"Classify the author's buying intent in one short phrase.\"\n}"
response = http.request(request)
puts response.read_body{
"column": {
"name": "Buying Intent",
"field": "buying_intent",
"type": "text",
"span": "col-span-2"
},
"updated": 42
}{
"error": {
"code": "validation_error",
"message": "Payload failed validation.",
"details": {
"field": "body"
}
}
}{
"error": {
"code": "not_found",
"message": "Requested resource was not found."
}
}AI
AI enrich tracked search results
Adds an AI-generated column to tracked-search results. It requires an active subscription and consumes AI credits according to the result count.
POST
/
api
/
v1
/
platforms
/
{platform}
/
tracked-searches
/
{searchId}
/
ai-enrich
AI enrich tracked search results
curl --request POST \
--url https://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich \
--header 'Content-Type: application/json' \
--data @- <<EOF
{
"prompt": "Classify the author's buying intent in one short phrase."
}
EOFimport requests
url = "https://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich"
payload = { "prompt": "Classify the author's buying intent in one short phrase." }
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({prompt: 'Classify the author\'s buying intent in one short phrase.'})
};
fetch('https://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich', 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://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich",
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([
'prompt' => 'Classify the author\'s buying intent in one short phrase.'
]),
CURLOPT_HTTPHEADER => [
"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://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich"
payload := strings.NewReader("{\n \"prompt\": \"Classify the author's buying intent in one short phrase.\"\n}")
req, _ := http.NewRequest("POST", url, payload)
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://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"Classify the author's buying intent in one short phrase.\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://optareach.com/api/v1/platforms/{platform}/tracked-searches/{searchId}/ai-enrich")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"Classify the author's buying intent in one short phrase.\"\n}"
response = http.request(request)
puts response.read_body{
"column": {
"name": "Buying Intent",
"field": "buying_intent",
"type": "text",
"span": "col-span-2"
},
"updated": 42
}{
"error": {
"code": "validation_error",
"message": "Payload failed validation.",
"details": {
"field": "body"
}
}
}{
"error": {
"code": "not_found",
"message": "Requested resource was not found."
}
}Body
application/json
Instruction used to generate the result column.