In modern development, data isn't just in one place—it's everywhere. Your customer information might live in a Postgres database, transaction logs in a third-party service like Stripe, and user activity in a NoSQL store. This data sprawl creates a significant challenge: how do you access, combine, and secure this information efficiently without writing brittle, repetitive code?
The answer lies in shifting your perspective. Instead of building one-off integrations for every task, what if you could create a unified, intelligent layer that handles all your data-related queries?
This is the core principle behind Searches.do. We empower developers to turn complex data retrieval logic into simple, reusable, and secure APIs. Let's explore how you can use this agentic workflow to tame your data ecosystem and accelerate development.
Does this sound familiar? Your team needs a new feature that shows a customer's profile, recent orders, and support ticket status. To build this, a developer needs to:
This process is repeated, with slight variations, across multiple services. The result is a tangled web of dependencies, duplicated logic, and exposed credentials. Every time a data source changes, multiple applications break. This is where the concept of Intelligent Search delivered as code completely changes the game.
Searches.do introduces the idea of "Search as Software." Instead of your application knowing how to get data, it only needs to know what data it needs. You encapsulate the "how"—the complex logic of connecting, querying, and formatting—into a reusable agent.
An agent is a small, focused piece of code that performs a specific data retrieval task. It's your "business-as-code."
Once defined, Searches.do deploys each agent as a simple, powerful search API. Your applications no longer talk directly to databases or complex third-party services; they talk to your secure, purpose-built search agents.
Creating and using a search agent is refreshingly simple. You define the logic once, and then any application can run it with a single command.
Let's see how you would use a pre-defined agent to find a customer's record without ever touching the underlying database directly.
import { createClient } from 'searches.do';
// Initialize the client with your API key
const searches = createClient(process.env.DO_API_KEY);
// Effortlessly run a pre-defined search agent
async function findCustomer(email: string) {
const customer = await searches.run('find-customer-by-email', {
email: email
});
console.log('Found customer:', customer);
return customer;
}
findCustomer('jane.doe@example.com');
In this example, the frontend or backend service doesn't need to know if the customer data is in MySQL, MongoDB, or an external CRM. It just calls searches.run() with the agent's name and the required parameters. The agent handles the rest.
Adopting this agentic workflow brings transformative benefits to your entire development process.
By creating a dedicated API for each search, you eliminate direct database access from most of your applications. This drastically reduces your attack surface. You expose only the necessary data and parameters, preventing broad query injection risks and providing a single point for logging, auditing, and access control.
Developers can now consume data through a clean, consistent API layer. There's no need to learn the query language for every new datastore or re-implement the logic for fetching a user profile for the tenth time. This allows teams to build features faster and focus on the user experience, not data plumbing.
What happens when you migrate your customer database from Postgres to a new NoSQL solution? Without Searches.do, you'd have to update every single service that queries it. With Searches.do, you update a single agent—find-customer-by-email—and all consuming applications continue to work without a single code change.
While the name is Searches.do, a "search" is any data-oriented task. You can use agents to:
Stop wrestling with API spaghetti and direct database dependencies. Start building a clean, secure, and scalable data ecosystem where complexity is abstracted away and developers are empowered to move fast.
With Searches.do, you can transform any data source into a simple, consumable API. It's time to treat your data logic as first-class code.
Ready to connect your data ecosystem? Explore Searches.do and deploy your first intelligent search agent in minutes.