
Explore 800,000+ negotiated rates from five major Minnesota payers, cleaned and enriched for immediate analysis.
Payers included:
This sample contains a random slice of in-network negotiated rates filtered to Minnesota providers. Unlike raw MRF files that require weeks of processing and terabytes of storage, this data is ready to analyze in seconds.
Data quality features:
Price transparency regulations require payers to publish their negotiated rates, but the raw files are nearly impossible to use. A single payer's MRF can exceed 1 terabyte. The data comes in deeply nested JSON formats. Provider identifiers require extensive crosswalking. And the files contain millions of "zombie rates" that inflate the data without providing actionable intelligence.
This sample demonstrates what becomes possible when price transparency data is properly processed: clean, queryable rate intelligence that providers, payers, and employers can actually use for contract negotiations, network analysis, and market benchmarking.
Turn Price Transparency Data into Actionable Market Intelligence
Healthcare organizations are using machine-readable price transparency data to uncover real market dynamics. Gigasheet's breakthrough analytic platform helps you translate that data into clear, decision-ready insights.
Analyze negotiated rates across payers and providers, identify pricing variation, benchmark against the market, and surface opportunities to improve contracts and reduce costs. This sample dataset is a preview of what’s possible.
Gigasheet scales from high-level aggregates down to row-level detail across billions of records, in a single click. Our analytics are enabling deeper analysis that leads to better decisions, stronger negotiations, and measurable financial impact.
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