Where data
becomes business.
Know what you have. Find who needs it.
Learn the business of buying, selling, and building with data.
From the community at r/HighDataCircles
A DIFFERENT KIND OF ASSET.
Find your way in.
A clearer map of a market that runs on
relationships, rights, and the right information.
I have data to sell.
Work out what’s valuable, package it properly, and make your first approach.
Build your first offer 02 / FOR THE CONNECTORSI want to broker deals.
Choose your niche, source with permission, and build a business that earns its place.
Learn the brokerage business 03 / FOR DATA BUYERSI need better data.
Know what to ask, how to evaluate a sample, and what to settle before signing.
Buy with a better checklistLearn the trade.
Skip the guesswork.
How to sell data: from a raw dataset to your first deal
A practical guide to selling a dataset: establish your rights, choose a buyer use case, prepare a sample, price the license, and run a paid pilot.
How to find buyers for your dataset
Map your data to buyer teams, distinguish marketplaces from buyers, qualify demand, and write an evidence-led data sales pitch.
How to price a dataset and structure a data deal
Compare dataset pricing models, calculate contribution, define license scope, and use a paid pilot to test willingness to pay.
Own the offer.
Understand the deal.
A buyer’s name does not tell you whether a deal is good. Know what you are licensing, what you are proving, and what you keep.
Build your businessHighDataCircles frameworks. Sources where they matter. No paid placements.
A few tools of the trade.
Are you ready to sell?
Walk through the rights, product, and delivery questions worth answering first.
Check your readiness 02Make your dataset legible.
Turn your product details into a clear, downloadable dataset card.
Build your dataset card 03Run the deal numbers.
See how pricing, fees, and delivery costs change your contribution.
Model a data dealFree to use. No account needed. Tool inputs stay in your browser.
How do I start selling data?
Start with a specific buyer problem and a dataset you can lawfully license. Prepare a data dictionary, a representative sample, evidence of quality, and a clear license scope. Then use a bounded pilot to test the fit.
Who actually buys data?
Potential buyers include AI teams, software companies, analytics teams, and research organizations. Public acquisition programs, licensing partners, and marketplaces offer different routes. Our buyer-discovery guide explains how to qualify each route using public evidence.
Can I become a data broker without owning a dataset?
You can build an introduction or authorized resale business, but your role and permissions must be explicit. Start with a narrow niche, verify supplier authority, and agree on attribution, payment, and responsibilities before making deals.
How much is my dataset worth?
There is no universal price per row, token, or gigabyte. Value depends on the use case, alternatives, coverage, quality, freshness, and rights. Our calculator models the economics of your assumptions; it does not invent a valuation.
You don’t have to
figure it out alone.
The guides give you a starting point. The community is where
you bring the questions, compare notes, and meet the people doing the work.