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July 2025 Summaries

4 posts from Unified.to

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Unified provides a platform for creating structured product listings on Walmart Marketplace by using a data model called commerce_item, which involves understanding and accurately providing key fields such as type, global_code, and metadata. The type determines the subcategory and required metadata, with 76 supported categories ranging from electronics to home goods. Metadata is a dynamic array tailored to each subcategory, and Unified's API can list these fields to assist sellers. For instance, animal accessories might include fields like animalType and petSize, while computers could include processorType and screenSize. Despite Unified's capability to structure and submit detailed data, Walmart’s GET and LIST APIs only return a subset of this data, focusing on basic identifiers and core logistical information due to the high-level overview nature of these endpoints, which may omit many category-specific attributes.
Jul 31, 2025 2,822 words in the original blog post.
The metadata_metadata object enhances the Unified data model by allowing users to define and manage custom metadata schemas that can be attached to various unified objects, such as commerce_item, ats_job, and hris_employee. This object acts as a schema registry for custom fields, specifying the format and structure of metadata values that populate the metadata fields of supported Unified objects. Metadata_metadata supports various data formats, including TEXT, NUMBER, DATE, and BOOLEAN, among others, enabling enriched, reusable, and structured metadata across different models. Users can perform full CRUDL operations on metadata_metadata, allowing for the creation, reading, updating, deleting, and listing of metadata entries, thus facilitating schema-driven form builders, reusable definitions across multiple objects, and consistent data validation and audit trails. The process involves defining metadata schemas, attaching them to unified objects, and tracking which records utilize each metadata definition, thereby offering a powerful tool for enriching data models with dynamic metadata.
Jul 23, 2025 574 words in the original blog post.
Unified.to supports both Workday's REST and Legacy SOAP APIs to provide users with maximum flexibility and access to all necessary data and actions, as Workday continues to develop its REST API while maintaining critical functionalities in the mature SOAP API. Currently, certain features such as creating job applications and retrieving full candidate lists are only supported by the Legacy SOAP API, whereas the REST API offers capabilities like listing and downloading attachments. Unified.to allows users to seamlessly mix and match endpoints from both APIs without additional costs or complexities, as it handles conversions and authentication differences behind the scenes. As Workday expands its REST API offerings, Unified.to commits to adopting new endpoints immediately, enabling users to transition over time while maintaining consistent data models and benefiting from a unified schema across both API formats.
Jul 22, 2025 640 words in the original blog post.
The Unified MCP server has received a significant security upgrade, enhancing data access control and privacy for AI Agent integrations. This upgrade introduces advanced permission controls at both the connection and API levels, allowing for granular data management and the implementation of read-only access patterns to safeguard sensitive environments. A new parameter, hide_sensitive, ensures enhanced data privacy by filtering out confidential information from API responses, aligning with data protection regulations. Additionally, the latest version, MCP v2025-06-18, supports structured data responses, improving AI model accuracy and performance by eliminating the need for text parsing and enabling more sophisticated data operations. These enhancements underline the commitment to providing both powerful and secure data integrations for AI agents, with continued development promised in security features and integration support.
Jul 15, 2025 642 words in the original blog post.