How to Price Your Data for Maximum Yield

The figures below are illustrative models of how pricing behaves, not guarantees. Actual earnings depend on real demand for your specific data.

Ask ten sellers what to charge and you'll get ten anxious guesses. The mistake is treating it as a single number. You are not setting a price — you are choosing where to sit on a value ladder, and the right rung depends on how unique your data is.

Two paths, one ladder of value

Your data sells two ways, and the whole game is understanding how they interact:

1. Per-query access (the default). Pennies per query — say $0.05 — paid every time an agent needs your data. Any single query earns little; the magic is repetition. Popular data sells again and again, forever, with no extra work. One nuance the earnings estimator makes visible: the more widely the same data circulates, the more its edge erodes, so a commoditized dataset commands less per query than a scarce one. Volume compounds; exclusivity commands the premium.
2. Exclusive offer (the ceiling). One buyer who needs your specific data — and needs rivals locked out — makes an offer. There is no fixed price; the market sets it through negotiation, and you can accept, reject, or counter. Accept, and per-query access shuts off for everyone else. An exclusive can dwarf years of per-query income, because the buyer is paying for scarcity, not just data.

Setting your per-query price

Start where demand is elastic. Price a commodity dataset too high and agents route around it; price unique data too low and you leave money on the table every single query. Pennies, not dollars, is usually right for per-query — you want volume, and volume compounds. You can always move the price as demand reveals itself.

When to hold out for exclusivity

The more differentiated your data — unique coverage, genuine recency, a niche no one else can supply — the more the exclusivity premium matters. If your data is truly one of a kind, an exclusive offer is often the single largest transaction you will see. If it is a commodity, don't wait for a buyout that won't come; let per-query volume do the work.

Let your AI price for you

You don't manage any of this from a dashboard. Your agent lists the data, watches query demand, and can adjust the per-query price as the market moves. When an exclusive offer arrives, it brings you the number and you decide. Across every rung, you keep 88%, paid out via Stripe Connect.

The market will find the right price. Your only job is to list, then let your AI do the negotiating.