Model-grounded web search (OpenAI).
curl --request POST \
--url https://api.aisa.one/apis/v1/openai-websearch/search \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"input": "What are the three biggest AI announcements this week? Give one sentence each with sources.",
"max_output_tokens": 1024
}
'import requests
url = "https://api.aisa.one/apis/v1/openai-websearch/search"
payload = {
"input": "What are the three biggest AI announcements this week? Give one sentence each with sources.",
"max_output_tokens": 1024
}
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({
input: 'What are the three biggest AI announcements this week? Give one sentence each with sources.',
max_output_tokens: 1024
})
};
fetch('https://api.aisa.one/apis/v1/openai-websearch/search', 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.aisa.one/apis/v1/openai-websearch/search",
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([
'input' => 'What are the three biggest AI announcements this week? Give one sentence each with sources.',
'max_output_tokens' => 1024
]),
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.aisa.one/apis/v1/openai-websearch/search"
payload := strings.NewReader("{\n \"input\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\",\n \"max_output_tokens\": 1024\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.aisa.one/apis/v1/openai-websearch/search")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"input\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\",\n \"max_output_tokens\": 1024\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/openai-websearch/search")
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 \"input\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\",\n \"max_output_tokens\": 1024\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"object": "response",
"status": "completed",
"output": [
{}
],
"usage": {
"input_tokens": 123,
"output_tokens": 123,
"input_tokens_details": {
"cached_tokens": 123
}
}
}Search API
OpenAI Web Search
Ask a question and get an OpenAI-model answer grounded in a live web search, with the underlying sources and URL citations, billed at exact cost.
POST
https://api.aisa.one/apis/v1
/
openai-websearch
/
search
Model-grounded web search (OpenAI).
curl --request POST \
--url https://api.aisa.one/apis/v1/openai-websearch/search \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"input": "What are the three biggest AI announcements this week? Give one sentence each with sources.",
"max_output_tokens": 1024
}
'import requests
url = "https://api.aisa.one/apis/v1/openai-websearch/search"
payload = {
"input": "What are the three biggest AI announcements this week? Give one sentence each with sources.",
"max_output_tokens": 1024
}
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({
input: 'What are the three biggest AI announcements this week? Give one sentence each with sources.',
max_output_tokens: 1024
})
};
fetch('https://api.aisa.one/apis/v1/openai-websearch/search', 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.aisa.one/apis/v1/openai-websearch/search",
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([
'input' => 'What are the three biggest AI announcements this week? Give one sentence each with sources.',
'max_output_tokens' => 1024
]),
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.aisa.one/apis/v1/openai-websearch/search"
payload := strings.NewReader("{\n \"input\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\",\n \"max_output_tokens\": 1024\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.aisa.one/apis/v1/openai-websearch/search")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"input\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\",\n \"max_output_tokens\": 1024\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/openai-websearch/search")
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 \"input\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\",\n \"max_output_tokens\": 1024\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"object": "response",
"status": "completed",
"output": [
{}
],
"usage": {
"input_tokens": 123,
"output_tokens": 123,
"input_tokens_details": {
"cached_tokens": 123
}
}
}Ask a question and get an answer that an OpenAI model wrote after searching the live web. Send a Responses request — an
input string (or message array) — and the endpoint injects a fixed, server-pinned model and the web_search tool for you; the model, tool and per-request search cap are server-controlled to keep cost bounded. The reply is a standard OpenAI Responses object: output[] contains web_search_call items (each a search that ran) and a message item with the answer text and URL citations, and the billed search count equals the number of web_search_call items. Billing is pay-as-you-go at exact cost: web_search_calls × $0.01 plus the model’s own token cost (fresh input = input_tokens − cached), with no markup. Use this when you want a written, cited answer grounded in current web content from an OpenAI model — for the Anthropic-model equivalent see post_anthropic_websearch_search, and for raw ranked links with extracted page text use post_tavily_search.Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
application/json
Your question or instruction, same format as the OpenAI Responses API input. A message array is also accepted.
Example:
"What are the three biggest AI announcements this week? Give one sentence each with sources."
Optional cap on the number of tokens generated in the answer.
Example:
1024
Optional high-level instructions to steer the answer's tone or format.
Response
200 - application/json
A standard OpenAI Responses object. output[] interleaves web_search_call items and the cited answer message; the number of web_search_call items is the billed search count.