Explainer

How buyers price a company's records: ten factors behind the number

By data payout we mean the gross sum a buyer agrees to pay for a license to your internal records, before any middleman deducts a fee. Buyers label it differently (license fee, compensation, deal value), so we stick to one term to make offers easy to compare.

Nobody publishes the formula behind their offers. Put their calculators, tier tables and public statements next to each other, though, and ten factors come up repeatedly.

AI Data Offers research deskChecked against our methodology Updated October 28, 2026 3 min read 16 sources

In this article

Ten pricing factors

Staff numbers
How it affects price
A bigger team produces more records covering more roles
What buyers say
DataFactor's bands go from $50K to $500K at 20 to 50 staff, up to $1M+ at 200 or more
History
How it affects price
More years capture more situations
What buyers say
micro1's calculator asks for years; Nyne sets a three-year minimum
Connected tools
How it affects price
Linked systems show a task from start to finish
What buyers say
Mercor says each extra tool lifts the offer
Range of situations
How it affects price
Arguments and judgment calls are the best teaching material
What buyers say
Surge AI says a varied archive can outrank a larger one
Repeat processes
How it affects price
Agents learn from tasks performed the same way many times
What buyers say
micro1 hunts for clearly defined, recurring workflows
Scarcity
How it affects price
Uncommon data is harder to source
What buyers say
micro1 reserves offers above $1M for highly distinctive data
Language and country
How it affects price
Demand peaks for English content from the US, UK and Canada
What buyers say
micro1's calculator asks about both
Regulation
How it affects price
Regulated records cost more to clean
What buyers say
micro1's calculator asks whether any data is regulated
Exclusivity
How it affects price
Sole rights cost the buyer more
What buyers say
Troveo says so; non-exclusive data can be licensed again
Trading or shut
How it affects price
A live business is valued higher
What buyers say
Trading firms mostly $100K to $2M; closed startups usually $10K to $100K

Factor	How it affects price	What buyers say
Staff numbers	A bigger team produces more records covering more roles	DataFactor's bands go from $50K to $500K at 20 to 50 staff, up to $1M+ at 200 or more
History	More years capture more situations	micro1's calculator asks for years; Nyne sets a three-year minimum
Connected tools	Linked systems show a task from start to finish	Mercor says each extra tool lifts the offer
Range of situations	Arguments and judgment calls are the best teaching material	Surge AI says a varied archive can outrank a larger one
Repeat processes	Agents learn from tasks performed the same way many times	micro1 hunts for clearly defined, recurring workflows
Scarcity	Uncommon data is harder to source	micro1 reserves offers above $1M for highly distinctive data
Language and country	Demand peaks for English content from the US, UK and Canada	micro1's calculator asks about both
Regulation	Regulated records cost more to clean	micro1's calculator asks whether any data is regulated
Exclusivity	Sole rights cost the buyer more	Troveo says so; non-exclusive data can be licensed again
Trading or shut	A live business is valued higher	Trading firms mostly $100K to $2M; closed startups usually $10K to $100K

Deductions before you receive anything

Direct buyers mostly say sellers pay them nothing, although Ventra's terms reserve the right to introduce fees after giving notice. Middlemen's charges vary a lot.

Jottings (broker)
Usually 20 to 30% of your payout, renewals included
Datarade (marketplace)
15%, 20% or 30%, by seller plan
FileYield (marketplace)
Sellers 8%, buyers 6%
Pewter (broker)
States that its licensing partner covers its fee

Middleman	Cut
Jottings (broker)	Usually 20 to 30% of your payout, renewals included
Datarade (marketplace)	15%, 20% or 30%, by seller plan
FileYield (marketplace)	Sellers 8%, buyers 6%
Pewter (broker)	States that its licensing partner covers its fee

Lump sum or ongoing

The norm is a single payment per data package. Troveo instead shares revenue and pays out each time it resells. micro1's ads mention that certain deals may recur. monsterdata.ai advertises $300K to $3M a year for recurring licenses, a figure it gives with little supporting detail.

How we see it: a lump sum is easier to plan around and is guaranteed. Revenue sharing may earn more over time, but only if several buyers keep wanting the same records.

Putting it to work

Rate your company on each factor. A freight brokerage of 60 people with 12 years of dispatch logs, mailboxes and a CRM ticks most boxes. A 20-chair salon with a paper appointment book scores poorly on tools and records, however well run it is.

Then line offers up on equal terms: payout after fees, payment date, license length and exclusivity. Nyne describes comparing offers by net contracted cash for identical data and rights, which is the sensible yardstick.

FAQ

Questions, answered

What does data payout mean here?

What a business is paid when an AI firm or data buyer takes a license to its internal records, measured before a broker or marketplace takes anything.

What is a normal amount?

For businesses still trading, buyers mostly publish $100K to $2M. Startups that have shut usually receive $10K to $100K.

Is exclusivity worth more?

Troveo says buyers pay extra for exclusive rights, whereas non-exclusive data can be sold again.

How much do middlemen keep?

Anywhere from about 8% to 30%. Some are funded by the buyer instead, and most direct buyers charge sellers nothing.

Is it taxable?

Almost certainly. The treatment depends on your location and the deal's structure, so check with your accountant first.

See what your data could be worth

A rough range from published deals and buyer price bands, based on headcount and years of records.

Estimate my range Match my company

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Sources

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