Data moves by hand
Orders, customers or products are copied between systems and errors are difficult to trace.
API integrations
API integrations that let systems exchange the right data.
We connect websites, e-commerce services and business systems in Estonia through agreed APIs. Work begins with source and target systems, field mapping, authentication and failure cases so automated data exchange remains traceable and understandable.
Discuss a projectCommon integration needs
A website needs an external service
A user action depends on an agreed payment, logistics, registry, hotel or other API.
Process status is hidden
The connection must record results, failures and retries so an administrator can act.
An integration starts with data ownership
One system owns each core record
Before implementation we decide where a customer, product, price, booking or order is created and which system may change it. If both sides can edit the same field, the project needs a conflict rule, not merely a two-way connection.
An API does not equal a ready integration
We inspect documentation, authentication, request limits, the test environment and sample responses. Crucially, the required event must be available and the API must let us distinguish a new record from an update or deletion.
Automation needs visible ownership
Every data flow names who notices a failure, who may retry it and when source data requires human correction. Without that owner, a technically active connection can leave the business blind precisely when an exceptional case occurs.
What integration development includes
What integration development includes
- Source and target API analysis
- Field and state mapping
- Authentication and access boundaries
- Failure, retry and duplicate handling
- Test environment, logs and agreed monitoring
Material needed to assess an integration
A concrete data flow
Describe the triggering event, source, destination, required fields and expected result. One normal example and one failed example are usually more informative than a broad request to connect two systems.
Documentation and test access
We need the API version, authentication guidance, limits and test data. Credentials do not belong in the brief; they are shared through an agreed secure channel only when implementation requires them.
States and an error owner
We list possible states, missing fields, repeated messages and behaviour during an outage. The client names a person or role able to correct source data and approve a retry where needed.
Controlled data exchange
Contract and boundaries
Define triggers, data and the source of truth for every field.
Authenticated connection
Use the service-supported authentication method and limit access to the required scope.
Failure cases
Specify timeouts, incomplete data, duplicates and service interruptions.
Testing and visibility
Check normal and exceptional cases and make the result available to administrators.
Acceptance checks for the connection
Acceptance checks for the connection
- Field meanings and data owners are confirmed
- Authentication and request limits are tested
- Duplicates and incomplete data produce defined outcomes
- Outages, retries and human intervention are distinguishable
- Logs contain enough to resolve a fault without unnecessary personal data
Monitoring and operational ownership
At launch we inspect the first exchanges and agree which messages are routine failures and which require prompt intervention. Handover records where logs are found, how a retry works, who owns the external service relationship and who responds when fields or an API version change.
Connections within a web service
Hotelfest
Hotelfest combines destination and search inputs, filters, property information and booking continuation in one public service.
View case study
API integration questions
What is needed for an estimate?+
API documentation or test access, sample data, the required data flow and known constraints.
How are interruptions handled?+
The design depends on the service. It usually defines an error, log, retry and the point where a person must intervene.
Can an integration replace manual entry?+
Yes, where the data source, field meanings and triggers are unambiguous. Exceptions still need to be described.
Can an existing integration be repaired?+
Yes. We begin with logs, documentation and repeatable failures, then define the repair boundary.
API integrations that let systems exchange the right data.
Briefly describe the goal, users, current solution and required functions. The first conversation will clarify the open questions and what discovery is needed before an estimate.