Connect Your AI To The Web

Web Search Made Fast, Reliable, and Fully Integrated for Your Agent

Web Summaries

Just send us the user's request to your LLM or Agent. Our API does all the heavy lifting—user context, searching, scraping, and AI summarization. We deliver a clean summary in seconds.

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Query: "How search engines create concise AI summaries?"
AI Summary:
AI search engines create short summaries by scanning multiple sources, identifying the most relevant and trustworthy information, extracting key points, and condensing them into clear, concise text. They rephrase content to remove redundancy, maintain accuracy, and ensure the summary directly answers the user's query.
Sources: TechCrunch, MIT Technology Review, OpenAI Blog

Build for AI

Your LLM is as good as the data and user context you can provide. We deliver both as an AI summary with real web data and facts.

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AI Integration

Extremely Easy To Integrate

Integrate with your AI App in a minute.
We respect your time. Give us a try, we give you the Web.

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curl -X POST "https://api.aisearchapi.io/v1/search" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "your search query",
    "context": [{"role": "user", "content": "user conversation context for the LLM"}]}'
import { AISearchAPIClient } from 'aisearchapi-client';

const client = new AISearchAPIClient({ apiKey: 'YOUR_API_KEY' });
const response = await client.search({
    prompt: 'your search query',
    context: [{role: 'user', content: 'user conversation context for the LLM'}],
    response_type: 'markdown'
});

console.log(response);
from aisearchapi_client import AISearchAPIClient, ChatMessage

client = AISearchAPIClient(api_key="YOUR_API_KEY")
response = client.search(
    prompt="your search query",
    context=[
        ChatMessage(role="user", content="user conversation context for the LLM")
    ],
    response_type="markdown"
)

print(response)
$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, 'https://api.aisearchapi.io/v1/search');
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
  'Authorization: Bearer YOUR_API_KEY',
  'Content-Type: application/json'
]);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([
  'prompt' => 'your search query',
  'context' => [['role' => 'user', 'content' => 'user conversation context for the LLM']]
]));

$response = curl_exec($ch);
curl_close($ch);

Use Cases

AI Agents

AI Agents

An AI agent can call our API, send the user's prompt and context (yes we support chat apps), and receive a live web‑search based, summarized response (in roughly 4-5 seconds), all for just $0.0015 per request, with 99.9% uptime and effortless integration across languages like Python, Node.js, Java, PHP or any REST request.

RAG Workflows

RAG Workflows

In RAG applications, your AI can query isearchapi.io in real time to enrich its prompt with up-to-date, web-based summaries—letting the LLM generate accurate, grounded replies on the fly, or even enrich its vector database with new information.

Apps and Platforms

Apps and Platforms

A mobile app or legacy platform can send a user request to your AI Search API at runtime—getting back a live, web-based summary that the AI agent incorporates immediately into its response. It's a fast, lightweight way to enrich user interactions with fresh, accurate information, all without needing to build or maintain a large vector database.

News Summary / Research

News Summary / Research

A developer building either a news summary app or a research assistant can send a topic or query to AI Search API and receive a polished, one-paragraph web-based summary—allowing users to quickly grasp key updates or findings without sifting through lengthy content.