Model-grounded web search (Anthropic).
curl --request POST \
--url https://api.aisa.one/apis/v1/anthropic-websearch/search \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": "What are the three biggest AI announcements this week? Give one sentence each with sources."
}
]
}
'import requests
url = "https://api.aisa.one/apis/v1/anthropic-websearch/search"
payload = {
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": "What are the three biggest AI announcements this week? Give one sentence each with sources."
}
]
}
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({
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'What are the three biggest AI announcements this week? Give one sentence each with sources.'
}
]
})
};
fetch('https://api.aisa.one/apis/v1/anthropic-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/anthropic-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([
'max_tokens' => 1024,
'messages' => [
[
'role' => 'user',
'content' => 'What are the three biggest AI announcements this week? Give one sentence each with sources.'
]
]
]),
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/anthropic-websearch/search"
payload := strings.NewReader("{\n \"max_tokens\": 1024,\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\"\n }\n ]\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/anthropic-websearch/search")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"max_tokens\": 1024,\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/anthropic-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 \"max_tokens\": 1024,\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"type": "message",
"role": "assistant",
"stop_reason": "end_turn",
"content": [
{}
],
"usage": {
"input_tokens": 123,
"output_tokens": 123,
"cache_read_input_tokens": 123,
"cache_creation_input_tokens": 123,
"server_tool_use": {
"web_search_requests": 123
}
}
}Search API
Anthropic Web Search
Ask a question and get a Claude-written answer grounded in a live web search, with the underlying sources and inline citations, billed at exact cost.
POST
https://api.aisa.one/apis/v1
/
anthropic-websearch
/
search
Model-grounded web search (Anthropic).
curl --request POST \
--url https://api.aisa.one/apis/v1/anthropic-websearch/search \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": "What are the three biggest AI announcements this week? Give one sentence each with sources."
}
]
}
'import requests
url = "https://api.aisa.one/apis/v1/anthropic-websearch/search"
payload = {
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": "What are the three biggest AI announcements this week? Give one sentence each with sources."
}
]
}
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({
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'What are the three biggest AI announcements this week? Give one sentence each with sources.'
}
]
})
};
fetch('https://api.aisa.one/apis/v1/anthropic-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/anthropic-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([
'max_tokens' => 1024,
'messages' => [
[
'role' => 'user',
'content' => 'What are the three biggest AI announcements this week? Give one sentence each with sources.'
]
]
]),
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/anthropic-websearch/search"
payload := strings.NewReader("{\n \"max_tokens\": 1024,\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\"\n }\n ]\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/anthropic-websearch/search")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"max_tokens\": 1024,\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/anthropic-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 \"max_tokens\": 1024,\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"What are the three biggest AI announcements this week? Give one sentence each with sources.\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "<string>",
"type": "message",
"role": "assistant",
"stop_reason": "end_turn",
"content": [
{}
],
"usage": {
"input_tokens": 123,
"output_tokens": 123,
"cache_read_input_tokens": 123,
"cache_creation_input_tokens": 123,
"server_tool_use": {
"web_search_requests": 123
}
}
}Ask a question and get an answer that Claude wrote after searching the live web. Send a normal Messages request — a
messages array plus max_tokens — and the endpoint injects a fixed, server-pinned model and the web_search tool for you; you cannot override the model or add tools, which keeps cost bounded. Claude decides when to search (up to max_uses searches, default 5), reads the results, and answers with inline citations. The response is a standard Anthropic Messages object: content[] contains server_tool_use (the queries issued), web_search_tool_result (the sources found) and text blocks (the answer with citations), and usage.server_tool_use.web_search_requests reports how many searches were billed. Billing is pay-as-you-go at exact cost: web_search_requests × $0.01 plus the model’s own token cost, with no markup; a failed search (HTTP 200 web_search_tool_result_error) is not billed. Use this when you want a written, cited answer grounded in current web content — for open-web research that returns ranked links and page text in one call use post_tavily_search instead, and for the OpenAI-model equivalent see post_openai_websearch_search.Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
application/json
Conversation messages, same format as the Anthropic Messages API. The user turn holds your question.
Show child attributes
Show child attributes
Example:
[ { "role": "user", "content": "What are the three biggest AI announcements this week? Give one sentence each with sources." } ]
Maximum number of tokens to generate in the answer. Required by the upstream Messages API.
Example:
1024
Optional system prompt to steer the answer's tone or format.
Response
200 - application/json
A standard Anthropic Messages response. content[] interleaves the searches performed and the cited answer; usage.server_tool_use.web_search_requests is the billed search count.