Healthcare's public data, in everyone's hands.
The law already requires health plans and hospitals to publish this. It does not require a format, does not require the arithmetic to check out, and almost nobody reads it. Project Crossfoot collects it, validates it against itself, and puts it within reach — no middleman.
Hospitals bill $5.03 for every dollar that actually gets paid
Every hospital publishes what it bills Medicare, and most now publish their own price lists too. Put side by side, the numbers tell two stories: the bill and the payment are different worlds, and the same care carries wildly different prices depending on the building it happens in — and 342 hospitals publish price files whose own numbers contradict each other.
Same procedure, same payer — and the high end bills 6.5× the low end. That spread, item by item and hospital by hospital, is what the price section maps.
The no that nobody checks
Before treatment, the insurer decides whether to allow it. Health plans now have to publish how often they say no — 124 insurers' filings, collected and checked here. Follow the requests down: most denials are never challenged, and when someone does push back, the insurer's own review often changes the answer. And 28 filings publish numbers that contradict their own arithmetic.
Appeal counts cover standard denials, from the 365 filings that publish them. Every number is summed from what plans published; a plan that published no count is left out rather than guessed at.
Which hospitals charge more than their services explain
An MRI costs more than a blood draw everywhere — and some hospitals charge more for everything. So we compared 12.1M prices that 1,202 hospitals published for the same services, and gave each hospital one score: ×1.00 means it charges the going rate for what it does, ×2.00 means double the going rate. Most land close to ×1.00. The outliers are the story.
Built in the open
This cannot be overstated: the dataset and the pipeline that produced it are given away. Every number is free to download, the crawlers that collected the documents are public code, the AI-agent workflow that read them is documented, and the calculations and the models — county outcomes and the fair-price index alike — are open source. Check the work, rerun it, or point it at data we haven't touched.