In today's complex software landscape, data is rarely in one place. Your customer's basic profile might live in a PostgreSQL database, their order history in an internal microservice, and their support interactions on a third-party platform like Zendesk. For developers, this means a simple request—"get a complete view of this customer"—can trigger a cascade of complex, brittle, and time-consuming integration work.
You have to write code to query the database, make a separate authenticated call to the internal API, and then another to the external service. You then need to stitch it all together, handle potential errors from each source, and hope none of the underlying APIs change without notice.
There is a better way. By treating data retrieval as a programmable, manageable asset, you can abstract away this complexity entirely. This is the core idea behind Search as Software: creating a unified search layer that turns scattered data points into a single, intelligent, and consumable API.
When your data is fragmented across different systems, the challenges go far beyond simple inconvenience. These data silos introduce significant friction and risk into your development lifecycle.
Instead of forcing every application to understand the complex map of your data, you can encapsulate that logic within a dedicated search agent.
An agent, in the context of Searches.do, is a piece of code that defines a complete data retrieval workflow. It's Business-as-Code. This agent knows exactly where to go and what to do to fulfill a specific data request.
For our "complete customer view" example, a single agent named get-customer-360 could be programmed to:
The application calling this agent doesn't need to know about PostgreSQL, microservices, or Zendesk. It just needs to make one simple, secure API call.
Creating this powerful abstraction layer is remarkably straightforward. The entire workflow is designed to turn complexity into a simple, reusable service.
Within the Searches.do platform, you define your agent. This is where you write the multi-step logic. You specify the required inputs (like email) and orchestrate the calls to your various data sources, transforming and combining the results as needed. All credentials and keys are stored securely in the agent's environment, never in your client-side code.
Once defined, your agent is deployed with a single command. It instantly becomes a stable, secure, and scalable API endpoint managed by Searches.do. All the complexity of authentication, logging, and error handling is managed for you.
Now, any application—be it a web frontend, a mobile app, or another backend service—can use this new, powerful search with a simple and clean SDK call.
Consider how simple it is to get a unified customer profile from your application code:
import { createClient } from 'searches.do';
// Initialize the client with your API key
const searches = createClient(process.env.DO_API_KEY);
// Get a complete customer profile with a single, simple call
async function getCustomer360(customerEmail: string) {
console.log(`Fetching unified profile for ${customerEmail}...`);
const profile = await searches.run('get-customer-360', {
email: customerEmail
});
// profile now contains cleanly merged data from your database AND internal APIs
console.log('Unified Customer Profile:', profile);
/* Example output:
{
"id": "db_user_123",
"name": "Jane Doe",
"email": "jane.doe@example.com",
"signupDate": "2023-01-15T10:00:00Z",
"recentOrders": [
{ "orderId": "order_abc", "total": 99.99, "status": "shipped" }
],
"supportTickets": [
{ "ticketId": 789, "subject": "Question about billing", "status": "closed" }
]
}
*/
return profile;
}
getCustomer360('jane.doe@example.com');
The calling code is clean, declarative, and completely decoupled from the underlying data sources.
Adopting an agentic workflow for data retrieval delivers powerful advantages across your entire organization.
Stop letting data silos dictate your architecture and slow down your teams. It's time to treat complex data retrieval not as a chore, but as first-class software.
Ready to unify your data landscape? Discover how Searches.do can turn your complex queries into simple, powerful Services-as-Software.