June 2026 Release Log

Overview

This month’s updates are focused on helping developers integrate with Datafiniti faster, build AI-powered applications more efficiently, and access even broader datasets across our platform.

Highlights include:

• Public beta release of the Datafiniti Python SDK

• Intelligent address fuzzy matching for Property Data searches

• Expanded Property and Product Data coverage

• Preview of upcoming USPS-standardized address matching improvements

Datafiniti Python SDK (Public Beta)

We're pleased to announce the public beta release of the Datafiniti Python SDK.

The SDK was built with a simple goal in mind: helping developers spend less time integrating and more time building.

In addition to providing a streamlined interface for Datafiniti’s APIs, the SDK has been designed with AI coding assistants and autonomous agents in mind. Its predictable structure and developer-friendly design allow AI tools to more easily understand, generate, and maintain code that interacts with Datafiniti’s platform.

Current beta functionality supports our Property Data API, with a full multi-data-type release planned for July, including:

• Property Data

• Business Data

• People Data

• Product Data

Whether you're building internal automation, customer-facing applications, AI workflows, or autonomous agents, the SDK is designed to significantly reduce development time and accelerate integration.

Get Started

Explore the SDK on PyPI:

https://pypi.org/project/datafiniti-sdk/

Placeholder: Link to Datafiniti Python Library Documentation Page

Intelligent Address Fuzzy Matching

Searching for properties by address has become significantly more flexible.

Our Property Data API now automatically performs intelligent fuzzy matching whenever an address filter is supplied. Instead of requiring perfectly normalized input, the API now attempts to recognize and match common formatting variations automatically.

Examples include:

• Street vs. St

• Road vs. Rd

• Avenue vs. Ave

• Missing punctuation

• Slight formatting differences

• Minor spelling variations

This enhancement reduces the amount of preprocessing required before making API calls while improving successful match rates for address-based searches.

Placeholder: Address Fuzzy Matching Example Image

Why This Matters

These updates are focused on improving the overall developer experience when working with Datafiniti.

With these enhancements, you can:

• Reduce integration time with a simplified SDK

• Lower AI token usage through cleaner and more predictable code generation

• Build AI-powered applications more efficiently

• Spend less time normalizing address data

• Improve address search success rates

• Focus more on application logic instead of API plumbing

As AI-assisted development continues to evolve, our goal is to make Datafiniti one of the easiest large-scale data platforms for both developers and AI systems to integrate with.

New Data Sources

Our data acquisition team continues to expand Datafiniti’s coverage across the United States and beyond. This month, we've been hard at work onboarding several new data sources across our Property and Product Data offerings.

New County-Wide Property Data Sources

The following property datasets are currently being onboarded and processed:

• Pinal County, Arizona

• Berks County, Pennsylvania

• Mobile County, Alabama

• New Hampshire Counties

• Charleston County, South Carolina

• St. Charles County, Missouri

• Orange County, New York

• Pulaski County, Arkansas

• Butler County, Ohio

• Mercer County, New Jersey

• Stark County, Ohio

• Hamilton County, Tennessee

These additions continue to strengthen our nationwide property coverage, providing customers with access to even more comprehensive and up-to-date real estate information.

New Product Data Sources

We're also expanding our Product Data coverage with the addition of:

• AliExpress

This source expansion helps improve product catalog breadth and coverage across a wider range of merchants and marketplaces.

Coming Soon

We have several exciting developments planned for the remainder of the year.

USPS Address Matching Standard

Datafiniti is transitioning its address matching framework to align more closely with USPS address standards.

Planned enhancements include:

• USPS-standardized address formatting suggestions

• Improved handling of partial address inputs

• Faster query construction workflows

• Reduced manual normalization requirements

• Higher consistency across address-based searches

These improvements are designed to help developers build accurate queries more quickly while reducing formatting errors and friction during integration.

We look forward to sharing additional updates as these enhancements move closer to release.