WAV Group recently had the opportunity to sit down with Todd Teta, Chief Product and Technology Officer at ATTOM Data. Todd has spent his career at the intersection of product and technology, with deep roots in real estate, mortgage, and property data. Since joining ATTOM in 2016, he has guided the company’s transformation from RealtyTrac, a foreclosure portal, into one of the industry’s leading pure-play data licensing firms.
Data as the foundation of ai
Todd is clear on one central point: high-quality data is the bedrock of successful AI in real estate. While some companies experiment with scraped or unverified datasets, he believes this shortcut undermines accuracy and trust. Instead, ATTOM has invested heavily in building parcel-centric data through its ATTOM ID system, applying multi-stage quality checks and leveraging machine learning to identify anomalies. This commitment ensures that brokers, insurers, and lenders can build AI models on a stable, authoritative foundation rather than on incomplete or inconsistent information.
MCP servers and the next wave of integration
One of the most forward-looking parts of our conversation was Todd’s discussion of MCP servers. ATTOM is currently developing its own MCP server, which Todd refers to as a pathway for “agent-ready data.” By enabling AI agents and SaaS applications to connect directly to normalized, parcel-centric datasets, ATTOM is positioning itself as a bridge between legacy data delivery and the emerging agentic economy. He also highlighted Google’s Agent-to-Agent (A2A) standard as another important development. Together, MCP and A2A could dramatically simplify how brokerages, MLSs, and technology providers consume and integrate property data, eliminating the need for integration with endless bespoke APIs.
The pace of technology shifts
When asked about the pace of change, Todd noted that AI is accelerating faster than any previous tech cycle he has seen, from web to mobile to cloud. What once took seven years for mainstream adoption of cloud may now take only two for AI and MCP. While he acknowledged that today’s real estate downturn is slowing some investment, he expects agentic features to become standard across SaaS platforms in the near term. Brokerages that prepare now by consolidating their data and aligning with MCP-driven access models will be best positioned to lead.
Conclusion
ATTOM’s commitment to transparency, data quality, and innovation reflects Todd Teta’s broader vision: that the future of real estate will be defined not just by who has the data, but by who delivers it in a way that empowers AI and protects digital sovereignty. As MCP servers roll out and the industry experiments with A2A integrations, ATTOM intends to be at the center of this transformation—making it easier for brokers, MLSs, and technology providers to trust the data that powers their next generation of tools.
WAV Group is a leader in helping companies license and leverage data effectively, and ATTOM already works with numerous WAV Group clients today. As WAV Group’s AI division, Fluente, continues to accelerate AI development for brokers and MLSs, we see integration with ATTOM’s MCP server as a ripe opportunity by year end.
