AI data buyer offer comparison tool
Data licensing offers rarely look alike: one pays a lump sum, another pays yearly, a third wants exclusive rights for a bigger cheque. Enter up to three offers and the tool converts each into a single figure in today's money, adjusted for how likely the buyer is to keep paying, the work you must do to deliver and the income exclusivity would cost you. The offers are then ranked, with the reasons shown line by line.
Ranking
From headline to real value
What each adjustment does to each offer.
| Offer | Headline total | Discounted | Buyer risk | Prep cost | Exclusivity | Real value |
|---|
How offers are ranked
Every offer is reduced to one comparable number: what it is worth to you today, after the things that make a promised payment worth less than its face value.
Add up the headline
headline = upfront + yearly × years
Discount future payments
A payment in year t is divided by (1 + rate) to the power t. The upfront payment is not discounted.
Apply buyer risk
Each yearly payment is multiplied by the collection chance to the power t: 97 percent a year for large labs, 92 for platforms, 85 for funded startups, 65 for early-stage startups.
expected = PV(yearly) × chancet
Subtract your costs
Preparation cost for that offer, and for exclusive offers the present value of the income you would have earned from other buyers during the term.
Rank
The highest real value wins. The table shows how far each offer fell from its headline and why.
Questions about comparing data buyer offers
How should I compare data licensing offers?
Not by the headline number. A large upfront payment is worth more than the same amount spread over years, a payment from a young startup is less certain than one from a large company, and an exclusive deal stops you earning from other buyers. The tool adjusts each offer for all three.
Why does the buyer type matter?
Yearly payments only arrive if the buyer is still around and still wants the data. The tool applies a yearly collection chance: 97 percent for a large established company down to 65 percent for an early-stage startup, compounding each year. Upfront payments are counted in full.
How is the cost of exclusivity worked out?
You enter how much you could expect to earn each year from other buyers if the license were non-exclusive. For an exclusive offer, that income is lost for the term of the deal, and its present value is subtracted. If you have no other buyers in sight, set it to zero.
What counts as preparation cost?
Anything you have to spend to deliver the data for that particular offer: cleaning, anonymization, converting formats, legal review or engineering time. Buyers ask for different formats and levels of redaction, so this often differs between offers.
Should I always take the offer with the highest score?
It is the best on money, but also weigh how much you trust the buyer, what they may do with the data and whether you can renegotiate later. A slightly lower offer with better terms, such as deletion at the end and no sublicensing, can be the better deal.