We connect your applications and data. Edit the JSON, send it to the service and see how its response becomes a working interface.
Let’s connect your systemsChoose an amount, then select Send request. The service returns orders at or above this amount as priority orders.
priorityThreshold sets the priority level. Edit name, total and id within orders, or add and remove orders. The service produces priority flags and summary totals. Amounts must be 0–1,000,000 TRY with up to 2 decimal places. Names are 1–60 characters. Each id is unique and uses 1–16 letters, digits, hyphens or underscores. You can send up to 20 orders.
EVERYTHING IN PLACE
Send the JSON to the service. Its response will appear here.
This response also supplies the data for the interface.
Change an order name or amount, then send the request.
Example service · no data is savedThe right connections. Systems that work together.
You’ve just tried a small data flow. We can bring all your business systems into the same flow.API and System Integration
We connect separate applications through APIs and data integrations, defining where information comes from, how it is transformed and where it goes.
Whether you need a new service, less repeated data entry or improved existing connections, we assess source and destination systems together.
What we deliver
We define which data will be shared between systems, how fields map to each other and which rules apply. We structure API contracts and data models so changes do not unnecessarily affect other systems.
We define how requests are sent, when each system takes part and whether data is transferred synchronously or asynchronously. Authentication, access and communication between services are planned as part of this flow.
We define controlled behavior for connection interruptions, timeouts, failed requests and repeated operations. Logging and monitoring make it clear where problems occur.
The work in context
Data from a source must do more than appear in the destination system: it must reach the right field, in the right format and under the right rules. We define field mappings, transformations and validations as part of this flow.
How we work together
We clarify the systems, data movement and possible failures together, building an integration that can be maintained as well as operated.
We examine API structures, access methods and which data each system is responsible for.
We define where data comes from, how it is transformed and how it will be used in the destination system. Error handling and retry behavior are also clarified at this stage.
We develop connections using real data samples and test validation, authorization and boundary conditions.
We plan the move to production and put error logging, operation tracking and the necessary monitoring in place.
Engineering in the details
We account for cases where repeating a request must not create duplicate records.
We assess how field and service-version changes affect connected applications.
Required access and secrets are managed at the server boundary.
Common questions
The same method does not work for every system. We assess file transfers, database access, export services and other connection methods the system provides. We recommend integration only after a maintainable and secure approach has been established.
We first examine which data and operations the existing services support. Missing capabilities may require new endpoints, intermediary services or data transformation layers. The aim is to establish a reliable connection without unnecessary changes to the existing structure.
Depending on the importance of the flow, we can plan mechanisms such as retries, queuing and error logs. This helps prevent temporary interruptions from turning into data loss; failed operations can be tracked and rerun when necessary.
This depends on how current the data needs to be. Some flows run in real time, while others run at set intervals or are triggered by events. We build a synchronization model that meets the business need without generating unnecessary traffic.
We define which system is the authoritative source for each data field from the outset. This prevents the same information from having conflicting values across systems and removes uncertainty about which record takes precedence.
We plan authentication, authorization, data transfer and access boundaries as part of the connection. The access model is chosen according to the organization's existing security policies and the methods supported by its services.
API versions and changes are part of an integration's lifecycle. We make critical changes trackable and plan transitions to new versions with as little disruption to existing flows as possible.
Share the source and destination applications, the data to transfer and any API documentation.
