Under the Hood: How Searches.do Delivers Intelligent Data Retrieval

In today's data-driven world, the information you need is often scattered across a dozen different systems. A single customer's profile might live partially in a SQL database, their recent activity in a NoSQL store, and their support history in a third-party SaaS platform. Accessing and unifying this data is a constant challenge for development teams. The traditional solution? Building brittle, complex, and time-consuming custom microservices for every data need.

But what if you could define that complex retrieval logic once and instantly deploy it as a secure, scalable, and reusable API?

This is the core promise of Searches.do. We go beyond simple database queries to enable Agentic Search—a powerful way to build and deploy intelligent search agents. Let's go under the hood to see how we transform complex data retrieval into simple, powerful Business-as-Code.

What Exactly is an "Agentic Search"?

Think of a search agent as more than just a query; it's a self-contained, intelligent task worker. Its job is to execute a piece of business logic to find and return a specific set of data.

Imagine you need to create an API endpoint to find-customer-by-email. In a complex enterprise environment, this isn't a simple SELECT * FROM users. A true, robust search agent might need to:

Query the primary CRM for the customer record.
If the account is marked "high-value," call the billing system's API to fetch their subscription status.
Simultaneously, check a Redis cache for recent session information.
Aggregate all this data from three different sources into a single, clean JSON object.
Return the unified result to the requesting application.

With Searches.do, this entire multi-step workflow is encapsulated into a single agent, which can then be called with a simple API request. This is the power of headless search: the complex logic is completely decoupled from the application that needs the data.

The Anatomy of a Search: Business-as-Code

At the heart of Searches.do is our simple TypeScript SDK. We chose TypeScript because it provides a robust, type-safe development experience that allows you to define your business logic as code that is clear, maintainable, and easy to version control.

Defining an agent involves two key parts:

Input Parameters: You declare the schema for the data your agent needs to run. This creates a clear and enforceable contract for your API. For our example, the input would simply be { "email": "jane.doe@example.com" }.
The Handler Function: This is the brain of your agent. It’s an asynchronous function where you write the core data retrieval logic. Here, you can connect to any database, call any third-party API, or read from any file system. You have the full power of Node.js and the TypeScript ecosystem at your disposal to fetch, merge, and transform data from multiple sources.

The agent's final task is to return a single, structured JSON response. The application consuming the data doesn't need to know if the data came from one source or five; it just gets a predictable and consistent result every time.

{
  "status": "success",
  "query": {
    "searchId": "find-customer-by-email",
    "parameters": {
      "email": "jane.doe@example.com"
    }
  },
  "result": {
    "customerId": "cust_1A2b3C4d5E6f",
    "firstName": "Jane",
    "lastName": "Doe",
    "email": "jane.doe@example.com",
    "accountStatus": "active",
    "createdAt": "2023-10-26T10:00:00Z"
  },
  "executionTimeMs": 78
}

From Code to Cloud: The .do Platform Magic

Writing the logic is only half the battle. How does that TypeScript file become a production-ready, globally scalable API endpoint? This is where the Searches.do platform handles all the heavy lifting.

When you deploy a search agent, our platform automatically:

Provisions Secure Infrastructure: We package your code and deploy it to a managed, serverless environment. You never have to think about servers, containers, or orchestration.
Creates a Secure API Gateway: Every search agent is fronted by our robust API gateway, which manages authentication, authorization, and rate-limiting out of the box. You can safely expose your data services without building complex security layers from scratch.
Ensures High Availability and Scalability: Our platform automatically scales your search agents based on demand, ensuring fast response times whether you have one user or one million.

This turns the concept of API as a Service into a reality for your own business logic. You focus on defining what data you need; we handle the how of delivering it securely and at scale.

The Business Impact: More Than Just an API

This agentic approach to data retrieval fundamentally changes how teams build and deliver products.

Drastic Reduction in Development Time: Instead of spending weeks building, securing, and deploying a new microservice, your team can deliver a production-ready Data Retrieval API in a matter of hours.
Centralized and Reusable Logic: The find-customer-by-email agent can be used by your web app, mobile app, and internal admin panels. If the logic needs to change, you update it in one place, and every application benefits instantly.
Enhanced Security and Governance: By standardizing how data is accessed, you reduce the surface area for security vulnerabilities and create a single point of control for managing data access policies.
Unlock New Opportunities: Searches.do makes it easy to productize your unique data capabilities. You can offer your powerful, aggregated data lookups as a premium "Service-as-Software" to partners or customers.

Searches.do is more than a tool; it's a new way of thinking about data access. By embracing the principles of Agentic Search and Business-as-Code, you can finally tame data complexity and empower your teams to build faster, more securely, and more innovatively than ever before.