At Datafiniti, we’re continually working to improve the usability, coverage, and developer experience of our datasets and APIs. This March release introduces new fields in the People Data schema, publishes a new developer use-cases repository, and reinforces the deprecation timeline for legacy status fields.

New Field Announcement: profileImageURLs & mostRecentProfileImageURL

We’ve introduced two new fields to the People Data schema designed to enhance professional profile enrichment capabilities.

These fields provide access to professional profile images associated with individuals, helping customers build richer identity resolution, lead enrichment, recruiting, and analytics workflows.

New Fields

profileImageURLs — Professional profile image URL(s) associated with a person

mostRecentProfileImageURL — The most recently observed professional profile image URL

Example

{  
 "people": \[  
   {  
     "firstName": "Jordan",  
     "lastName": "Matthews",  
     "jobTitle": "Director of Operations",  
     "companyName": "Example Logistics Group",  
     "linkedinURL": "<https://linkedin.com/in/jordan-matthews">,  
     "profileImageURLs": [  
       "https://cdn.example.com/images/jordan-2024.jpg",  
       "https://cdn.example.com/images/jordan-2023.jpg"  
     ],  
     "mostRecentProfileImageURL": "<https://cdn.example.com/images/jordan-2024.jpg">  
   }  
 ]  
}

This enhancement is especially useful for customers building:

• Lead enrichment workflows
• Recruiting and talent analytics systems
• Identity resolution models
• AI-driven profile summarization and scoring applications

You can review the updated schema documentation here:

https://docs.datafiniti.co/docs/people-data-schema

New Developer Resource: Datafiniti Use-Cases Repository

We’ve published a new Datafiniti Use-Cases repository designed to accelerate onboarding and provide runnable examples across all Datafiniti APIs.

Repository:
https://github.com/datafiniti/use-cases

The repository includes example workflows for:

• Property Data
• Business Data
• People Data
• Product Data

These examples help customers move from API access to production-ready workflows faster by providing:

• Real-world query examples
• Proven integration patterns
• Sample enrichment pipelines
• Code examples for analytics and automation workflows

The repository will continue to grow with additional examples and tutorials over time.

Deprecation Notice: Legacy statuses Fields

As part of our continued schema improvements, we are reinforcing the deprecation of legacy statuses fields in favor of statusHistory.

Why the change?

The previous statuses structure lacked consistent historical tracking. Rental and sale/off-market logic created structural inconsistencies. statusHistory provides a unified and chronological representation of property status changes

What this means for you

• Existing statuses fields will continue to function for now
• We strongly recommend updating workflows to use statusHistory
• Future schema updates will prioritize statusHistory as the source of truth
• Ample notice will be provided before any breaking changes occur

You can review the full release notes here:

https://docs.datafiniti.co/changelog/202602-data-release-log

Coming This Year

We have several improvements planned throughout the year, including:

A New Look for docs.datafiniti.co

We’re redesigning our documentation experience to make it faster, clearer, and easier to build with.

The updated documentation site will include:

• Improved navigation across API schemas
• Expanded code examples
• More AI-friendly documentation for LLM-assisted API development
• Additional tutorials and implementation guides

Improved Autotrace Feature

Our Autotrace feature currently allows customers to perform skip traces on property records and match homeowner contact information.

Later this year we will be redesigning Autotrace to provide a more intuitive experience, reducing the process to a single API call for retrieving property owner contact information.

Connecting Datafiniti to AI Platforms

A major focus this year is enabling direct integration between Datafiniti and AI platforms.

Planned improvements include:

• MCP integration
• Expanded code examples designed for LLM interpretation
• Tutorials designed for AI-assisted query generation

These updates will make it easier to integrate Datafiniti into AI-driven workflows and automation pipelines.