Ask assistants one question now

Embed

<a href="https://seolyticize.com/docs/ref-explore-ai-prompt"><img src="https://seolyticize.com/docs/_api/public/orgs/71cb2b7a-a719-4003-b3ea-6321dc1db8ab/spaces/3bf2dbf7-3faa-473c-ba3b-30588f5f8de4/pages/7c508b64-683e-48ac-a2f9-07d867804ad2/social-card.svg?v=3e7ae33eec8b" alt="Ask assistants one question now" width="600" height="315"></a>

POSThttps://seolyticize.com/api/v1/tools/explore_ai_prompt

Asks one question live on the chosen assistants (claude, and any the agency has its own API key for) and returns each answer's text, citations, and — when clientId is given — which tracked brands it named. Nothing is stored; use it to see what assistants say before tracking a question, or to look up how they describe a brand. Answers 'what does ChatGPT say about this'. Claude is metered (meteredMicros); others bill the agency's own accounts.

Request body application/json

clientIdstring

= null

promptstringrequired

enginesstring[]

= ["claude"]

maxCostMicrosinteger

Optional spending limit for this call, in micro-USD (1,000,000 = $1). A purchase that would take the call past it is refused before anything is bought. Pass the estimate from estimate_cost, or what the user agreed to spend.

{
  "clientId": null,
  "prompt": "string",
  "engines": [
    "claude"
  ],
  "maxCostMicros": 0
}

Code samples

cURL

curl -X POST "https://seolyticize.com/api/v1/tools/explore_ai_prompt" \
  -H "Content-Type: application/json" \
  -d '{"clientId":null,"prompt":"string","engines":["claude"],"maxCostMicros":0}'

TypeScript

const res = await fetch('https://seolyticize.com/api/v1/tools/explore_ai_prompt', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({"clientId":null,"prompt":"string","engines":["claude"],"maxCostMicros":0}),
});
const data = await res.json();

Python

import requests

res = requests.request(
    "POST",
    "https://seolyticize.com/api/v1/tools/explore_ai_prompt",
    headers={
    "Content-Type": "application/json",
    },
    json={"clientId": None, "prompt": "string", "engines": ["claude"], "maxCostMicros": 0},
)
data = res.json()

package main

import (
	"fmt"
	"io"
	"net/http"
	"strings"
)

func main() {
	req, _ := http.NewRequest("POST", "https://seolyticize.com/api/v1/tools/explore_ai_prompt", strings.NewReader(`{"clientId":null,"prompt":"string","engines":["claude"],"maxCostMicros":0}`))
	req.Header.Set("Content-Type", "application/json")
	res, _ := http.DefaultClient.Do(req)
	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)
	fmt.Println(string(body))
}

PHP

<?php
$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://seolyticize.com/api/v1/tools/explore_ai_prompt');
curl_setopt($ch, CURLOPT_CUSTOMREQUEST, 'POST');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{"clientId":null,"prompt":"string","engines":["claude"],"maxCostMicros":0}');
$response = curl_exec($ch);
curl_close($ch);
echo $response;

Ruby

require 'net/http'
require 'uri'

uri = URI('https://seolyticize.com/api/v1/tools/explore_ai_prompt')
req = Net::HTTP::Post.new(uri)
req['Content-Type'] = 'application/json'
req.body = '{"clientId":null,"prompt":"string","engines":["claude"],"maxCostMicros":0}'
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: uri.scheme == 'https') do |http|
  http.request(req)
end
puts res.body

Java

import java.net.URI;
import java.net.http.*;
import java.net.http.HttpRequest.BodyPublishers;

HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://seolyticize.com/api/v1/tools/explore_ai_prompt"))
    .header("Content-Type", "application/json")
    .method("POST", BodyPublishers.ofString("{\"clientId\":null,\"prompt\":\"string\",\"engines\":[\"claude\"],\"maxCostMicros\":0}"))
    .build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

Responses

200 The tool's result, under data.

Example

{
  "data": {}
}

Schema

datarequired

400 The body was not JSON or did not match the tool's input schema.

Example

{
  "error": "string"
}

Schema

errorstringrequired