In any growing business, data is both an asset and a challenge. Customer support needs to look up order histories, marketing needs to pull user segments, and finance needs to reconcile transaction records. All too often, these simple requests trigger a cascade of complexity. The data is siloed across different databases, CRMs, and third-party services. The logic to retrieve it is reinvented for every new report, leading to inconsistencies and a massive drain on developer resources.
What if you could codify your core business lookups—like "find customer by email" or "get active subscriptions"—into reusable, secure, and instantly deployable components? This is the promise of Business-as-Code, a paradigm that transforms essential operations into durable, automated assets. And with Searches.do, this approach is now a reality for data retrieval.
Before we dive into the solution, let's look at the friction points that plague most organizations. Does any of this sound familiar?
These issues create an "operational tax" that slows down innovation and frustrates teams. You're constantly reinventing the wheel instead of building a robust, efficient engine.
Searches.do introduces the concept of an Agentic Search. Think of it as a smart, autonomous agent whose sole job is to perform a specific data retrieval task you've defined. You define the business logic for a search once using a simple TypeScript SDK, and the platform handles the rest.
This is Business-as-Code in action. The search find-customer-by-email is no longer a vague request but a version-controlled piece of code that acts as the single source of truth.
This approach flips the model from reactive query-writing to proactive service-building. Instead of writing one-off scripts, you build a library of reusable Search as a Service endpoints that serve the entire organization.
The power of Searches.do lies in its simplicity. You can transform even the most complex data retrieval workflow into a standardized, easy-to-use API.
Here’s what a successful call to a deployed search agent looks like:
{
"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
}
The consumer of this API doesn't need to know where the data came from or how it was pieced together. They just know they can count on find-customer-by-email to deliver a consistent and accurate result every time. This is the power of Headless Search—decoupling the complex backend logic from the simple front-end consumption.
Adopting an API-as-a-Service model for internal data has a profound impact on operations:
Stop paying the hidden tax of repetitive data retrieval. By treating your essential business lookups as codifiable, reusable assets, you can build a more efficient, consistent, and agile organization. Searches.do provides the platform to make this a reality.
Ready to turn your complex data queries into powerful, reusable services?
Visit Searches.do today to learn more and deploy your first search agent.