We teach people to broker company data

DataBroker (data.broker) is a paid course and set of tools for people who broker company data: finding companies that hold data buyers want, valuing it, licensing it and closing the deal.

Name

DataBroker, also written data.broker

Website

data.broker

App

app.data.broker

What it offers

A paid course with 12 months of access to the app's tools, plus free guides, a glossary, data broker law pages and browser tools

Focus

Company data (codebases, task sets, recordings, archives) licensed to buyers such as AI labs; not consumer profiles

Who writes the pages

The DataBroker team; figures in posts and comparisons link to their sources, with the date they were checked

Contact

team@data.broker

The job we teach is narrow on purpose. A broker finds a company sitting on data it doesn't use, such as an old codebase, a library of recordings or a document archive, works out roughly what it is worth, gets the right agreements signed, and connects it with a buyer. Most of the buyers we have in mind are AI labs licensing codebases, task sets and raw data, though the same method carries over to other buyers.

It is company data, not personal data about consumers. The privacy lessons and guides are about getting personal information out of a dataset before it is sold, not about trading it.

The course. Eighteen lessons in six modules, from what a data broker is to running several deals at once, with checkpoints and a test at the end of each module. It is paid and gives 12 months of access to the course and every tool in the app.

The app at app.data.broker, where the course lessons hand off to:

• a lead finder and a CRM to track each company you approach, stage by stage;
• estimations, which give an advisory value range for a codebase, a task set or raw data;
• contract templates in the order a deal uses them (mutual NDA, letter of intent, data license agreement, broker agreement), each tracked from draft to signed;
• an inventory of the assets you have the right to sell, and listings you can work toward a sale;
• a view of data for sale and of open buyer requests.

Free pages on this site. Guides to each step of a deal, a glossary of the terms you hear in one, comparisons of the places data is sold, data broker laws and 14 free tools, among them an NDA generator, a commission calculator and a PII scanner. The tools run in your browser; what you type into them isn't sent to us.

• Every figure in a blog post or comparison links to where it came from, with the date we checked it. If a number can't be sourced, we leave it out.
• Facts about other companies come from their own pages and documentation, or from reputable reporting. Comparisons say where the other option does a better job than a broker.
• Posts about the law describe it in general terms and say when you need a lawyer. Nothing on this site is legal advice.
• Blog posts are drafted with help from AI tools. A person checks each one against its sources and approves it before it goes live.
• A page's Updated date moves only when its content really changes, and a correction always moves it.
• We don't write star ratings or reviews of ourselves, on the page or in its markup.

The DataBroker team page explains how blog posts are sourced and dated. The FAQ answers the common questions about the course, the tools and the site.

• No income promises. What a broker earns depends on the deals they find and close, and many conversations end without one. We don't publish typical earnings because we can't verify them.
• No certification. Nobody certifies brokers of company data, and the course doesn't issue a certificate that would suggest otherwise.
• No consumer profiles. Building and selling profiles of people for marketing or background checks is a different business under different laws, and we don't teach it.
• No guaranteed prices. Estimates are rough guides, not offers: what a dataset sells for depends on its buyers and the rights its owner holds.
• Not a public marketplace. DataBroker doesn't replace marketplaces; brokers often use them as one route to buyers among several.

Email team@data.broker with questions about the course, the app or anything on this site. To flag a mistake on a page or a tool that doesn't work, report a problem: corrections move the page's Updated date.