Amazon Easy Ship API Updates: Value Formats Now Aligned with Actual Returns

Amazon has announced a significant update to its Easy Ship API, ensuring that the value formats for key data points now accurately reflect the actual values being returned. This change, effective immediately, aims to streamline integration for developers and improve data consistency across the platform. The update impacts measurement, pickup, dropoff, and timestamp formats, bringing them in line with real-world data.

Key Takeaways

• Value formats for measurement, pickup, dropoff, and timestamp in the Easy Ship API documentation now match actual returned values.
• The changes are effective immediately and apply to all marketplaces.
• Developers using the Easy Ship API will need to ensure their applications are updated to accommodate these format adjustments.

What Has Changed?

The Easy Ship API has undergone several format adjustments to enhance accuracy and developer experience. Previously, certain formats in the documentation did not precisely align with the data returned by the API. This update rectifies those discrepancies.

Specifically, the following changes have been implemented:

• Measurement Units: The unit of measurement 'Cm' has been updated to lowercase 'cm'.
• Pickup and Dropoff Enums: The enums 'Pickup' and 'Dropoff' have been changed to uppercase 'PICKUP' and 'DROPOFF', respectively.
• Timestamp Formats: Timestamp formats now consistently include timezone offsets, providing clearer temporal data.

These modifications affect several critical operations within the Easy Ship API, including:

• listHandoverSlots
• getScheduledPackage
• createScheduledPackage
• updateScheduledPackages
• createScheduledPackageBulk

Affected Marketplaces and Users

This update is comprehensive and applies to all marketplaces where the Easy Ship API is utilized. Consequently, any developers whose applications integrate with the Easy Ship API are directly affected by these changes. It is crucial for these developers to review the updated formats and make necessary adjustments to their code to ensure seamless operation and accurate data handling.