About This Project
A public data tool. Free, no signup, one state's testing record at a time.
What This Is
Every package that reaches a legal cannabis shelf is lab-tested first. The result is logged in the state's seed-to-sale system — Metrc or BioTrack — and filed with the regulator. That record is public. Most of the people who paid for it have never seen it.
This site is that record, made legible. 72,098 compliance-testing records across 133 licensed facilities and 8 labs, from January 2023 through December 2025 — deduplicated to the individual package, visualized, and free to download. New Jersey is the first state here; each new state gets its own page, its own charts, and its own methodology.
The data is New Jersey's. The collection, cleaning, analysis, and presentation are mine. This is not an investigation, and it is not an accusation. New Jersey generated the data; I made it readable. Any conclusion is yours to draw.
A Word of Credit
This project exists because state cannabis regulators collect this data and make it available — some by routine release, some only after a public-records request, but available all the same. Every record on this site started as a government file that a state agency chose, or was required, to put within reach of the public.
That is how a market improves: regulators, operators, patients, and the public can all argue from the same facts. I'm grateful to the agencies that release this data, and to the staff who answer the records requests, and I hope every one of them keeps doing it. Where a state has been especially thorough or especially open, its own page says so.
Who Built It
I'm Max Jackson, founder of Cannabis Wise Guys.
Before I started analyzing cannabis markets, I operated in one. I worked on a licensed cannabis farm in Trinity County, California — first as a photographer documenting the operation, then as general manager running the whole on-the-ground business across 13,000 square feet of flowering canopy. I lived on-site in a converted ambulance and learned every lesson the hard way: undersized irrigation, failed automation, diesel generators at 3 AM, two hours from the nearest Home Depot.
When I read a Metrc export today, I'm reading data I used to generate.
Today I work as an operational translator between cannabis operations, finance, and policy. I serve on the cultivation committee of a state cannabis trade association, consult on cannabis litigation as an expert witness, and publish market analysis that connects what operators experience to what investors and regulators assume. No party funded, directed, or pre-reviewed this project. The analysis is independent.
I built this because I kept citing testing data in policy memos and realized nobody could verify what I was saying without doing the same multi-month data processing I had done. That's a problem. If the evidence matters, the evidence should be public — in every state, not just the one I happened to be writing about that week.
Why
Markets work better when participants see the same data.
Operators should be able to see how many facilities are actually producing, what the potency distribution looks like, which categories are growing, and what the failure rates are by test type. Regulators and policymakers should be able to read the patterns inside the data they already collect. Investors should be able to see structural concentration, cohort survival, and lab variance without commissioning a custom study. None of that should require a multi-month data project of your own.
The patterns were never hidden. They were sitting in the compliance exports that states have been collecting all along. The work was turning those raw exports into something a reader can actually use — and doing it the same defensible way in every state, so the numbers can be compared and reproduced. That work is what this site is.
It is one state at a time, and it grows as states release more. Every state page links to the exact filtering rules behind its numbers. If you want to check the math, you can.
Contact
For custom analysis, consulting inquiries, a correction, or questions about this data: