There's no public rate card for business data. Prices are negotiated deal by deal. But buyers judge datasets on a consistent set of factors, and knowing them tells you whether your company is likely to see a small check or a meaningful one.
1. Years of history
A business that has run on the same systems for eight years has eight years of decisions recorded. Depth matters because AI labs want many examples of the same task done in different conditions: busy season, supplier shortage, a new hire learning the ropes.
2. Workflow depth, not just numbers
A ledger of final invoice totals is worth far less than the invoices plus the notes, emails, and status changes around them. Buyers pay for the steps people took, not just the outcome. A support ticket with the full back-and-forth is worth more than a count of tickets closed.
3. Number of connected systems
When CRM, accounting, support, and email can be linked by order or account, a buyer can follow one piece of work from start to finish. Connected records are worth more than any single system alone.
4. Industry demand
Labs fill gaps. Industries that are poorly represented in public data, like distribution, manufacturing, logistics, insurance, and trades, tend to attract more interest than industries that already publish a lot online.
5. Clean rights
Data with unclear ownership or conflicting customer contracts is worth little, because buyers can't use it safely. A signed license, a clear list of approved sources, and a documented de-identification method all add value.
6. Volume and quality
More records help, but only if they're usable. Duplicates, empty fields, and systems that were half-adopted lower the value.
7. Full-context years, not total years
Careful buyers don't just count how long you've been in business. They ask how many years have full context: internal messaging, documents, and system records all captured together. Internal messaging is one of the most important layers. A company that moved from WhatsApp to Discord to Slack over ten years may only get full credit for the two years on its current tool.
8. Honest representation
Buyers typically have a 30-day acceptance window to back out if the data doesn't match what was described. Inflating volume with unrelated files doesn't raise the price; it ends the deal. An accurate data inventory speeds up valuation.
How payouts usually work
Most AI buyers ask for an exclusive window, typically two years, and pay on net terms, often 60 days after acceptance. Asking for shorter exclusivity or faster payment is possible but usually costs some of the headline price. With Paid4Data, you're paid your share within 7 days of the buyer's payment clearing. See deal terms, explained.
Want a ballpark for your company? The estimator uses team size, years in business, and revenue to give you a range in about a minute.