We tested micro1’s calculator: 25 business-data payout scenarios

A useful starting number needs a visible basis

An owner asking what their records might be worth deserves more than an unexplained six-figure range. A specific estimate is useful when the reader can see where it came from and which assumptions remain open. We chose a public buyer calculator as a reproducible starting point instead of inventing dollar brackets for company sizes.

micro1 asks for employee count, years of company data, and headquarters region. It describes its output as indicative, with a final decision depending on the records and proposed access. The calculator is evidence of that provider’s current screening presentation. It is not a database of completed licenses. ^[1]

Our test holds geography constant and changes only two inputs. That makes it possible to compare the displayed results without suggesting that a different industry, collection, or contract has been priced. The goal is a transparent first conversation with an owner.

The 25 scenarios we observed

We crossed five headcounts—30, 50, 100, 150, and 200—with five history lengths—3, 4, 5, 7, and 10 years. Each combination was entered into the live public calculator with United States selected. We waited for the completed result and recorded both displayed endpoints. No application, client organization, contact details, or records were submitted.

This is a dated snapshot from October 23, 2026. It does not update automatically when micro1 changes its calculator. The 30–200-person, 3–10-year test window defines the boundaries of our interpolation. It is not a claim that every organization in that window qualifies, or that opportunities outside it are worthless.

Each row below preserves the source figures. The final column is our calculation: the midpoint rounded to the nearest $5,000. That column was not displayed by micro1. ^[1]

How to read the chart

Select a history length to compare the five tested employee counts. The dark line joins the rounded midpoint at each observed count. The vertical lines retain the lower and upper values displayed by micro1. Their length is a reminder that a precise-looking input does not produce an agreed price.

The baseline starts at zero dollars. The same vertical scale is used for every history selection, so changing the selector does not exaggerate the apparent growth. The connecting lines are a visual guide between sampled counts; an untested point on a line is not another observed response.

Within this snapshot, larger headcounts and longer histories produce higher displayed amounts. That describes the calculator’s behavior. It does not prove that hiring another employee or keeping an extra year of duplicate files causes a corresponding increase in a buyer’s offer. The actual usable material still needs inspection.

Turning the interval into a planning figure

For an input pair we directly observed, our estimator uses those exact source endpoints. For other pairs within the test window, it takes a weighted average of the surrounding observations, separately for the lower and upper endpoints. We then round the interpolated endpoints to whole dollars, take their midpoint, and round that midpoint to the nearest $5,000.

For example, 75 employees and six years sit halfway between 50 and 100 employees and between five and seven years. Each of the four surrounding rows receives a 25% weight. The interpolated endpoints become $294,049 and $605,253. Their midpoint is $449,651, which becomes a $450,000 planning figure.

This single number is easier to discuss than a broad headline interval, but it does not reduce the underlying uncertainty. We keep the interval and the observations used in the result details. Selecting the middle does not make that value the most likely sale price.

Two additional input pairs check the interpolation

We also recorded two input pairs not included in the 25-row grid: 40 employees with four years of records, and 60 employees with five years. We compared their observed responses with what grid-only interpolation would produce. The lower endpoint matched to the dollar in each case. The interpolated upper endpoint was $1 above the observed response in each case.

Both comparisons produced the same nearest-$5,000 headline as the directly observed result. That is a useful check on our arithmetic and approximation at those two points. It is not evidence of prediction accuracy for a real transaction, and two checks cannot establish a universal error bound. The live estimator uses the direct observations for those exact pairs.

What the figures do not establish

The source labels the result an estimated payout. It does not identify a payment period, license duration, exclusivity arrangement, fee schedule, or whether the amount is before or after costs. We therefore do not call these annual earnings, net cash to the owner, or the price of one initial license. Those terms belong in a specific proposal. ^[1]

Headcount and history also leave substantial information out. They do not measure the number of usable records, uniqueness, language, contractual restrictions, preparation effort, or the share of a company’s operations that was documented. A buyer may decline the proposed material or offer an amount outside the source interval.

Our calculator asks about record type, completeness, rights, and authority to make the next step more useful. Those answers change the review conditions. They do not trigger invented percentage premiums or discounts. Selecting six categories does not create six independently saleable assets.

A planning figure cannot create licensing rights. If the organization lacks permission to license the material, the current opportunity is $0 unless those rights are obtained. Even a suitable, approved archive earns $0 if no deal closes.

When an answer becomes a reference instead

For an employee count or history outside the observed window, we show the closest grid boundary and say which input was substituted. For an unknown count we use a labeled 50-person reference; for unknown history we use a labeled five-year reference. We retain the original unknown answer in a submitted inquiry.

A standalone research collection, media archive, or curriculum needs collection-specific information. In that case, the displayed 50-person, five-year business benchmark is explicitly a comparison, not a valuation of the collection. Staff count alone is not a defensible pricing model for a film library or scientific archive.

Nonprofit operating records may deserve a buyer conversation, but this test does not supply nonprofit transaction prices. The result is labeled as a business-data reference requiring review of buyer demand, ownership, restrictions, mission fit, and approvals. Being a nonprofit does not justify an automatic premium or discount.

All 25 runs used U.S. headquarters. An organization in another country needs a separate geographic assessment; this snapshot does not contain regional conversion factors.

Use the number to prepare a better conversation

Start by checking that the input describes records you can actually use, rather than the age of the legal entity. A business that has operated for ten years may only have four years of accessible project history. An owner can make the conversation more useful by naming the systems, identifying connected outcomes, and noting likely rights questions.

Then ask what scope a buyer would evaluate, which uses the proposed license permits, how preparation and review work, and what the payment covers. Compare actual proposals on the same basis before comparing their headline amounts. A perpetual exclusive arrangement and a limited nonexclusive license are different commitments.

North Fox Digital helps owners make those questions concrete and, with permission, explore a suitable introduction. The calculator is available before you share contact details. The full methodology shows the interpolation formula, rounding, reference rules, and the version saved with an inquiry.