OnlyDetect's 30 September 2026 sample contained 242 free records, 204 paid records, and 15 trial records out of 461 eligible directory profiles. That is approximately 52.5%, 44.3%, and 3.3%, respectively. The rounded percentages total 100.1%; the exact counts total 461.

These are observed directory labels. They do not mean that half of all OnlyFans accounts are free, that every item on a free page costs nothing, or that the labels describe current checkout conditions.

The denominator is part of the result

We included records that were active, indexable, unsuppressed, and validated within 180 days of the query. This excludes other records in the discovery pipeline. It also excludes accounts our directory has never encountered.

The dated dataset contains the inclusion rule and observation timestamps. A count without this denominator could easily be mistaken for a platform census.

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Recorded offer stateProfilesShare of this sample
Free24252.5%
Paid20444.3%
Free trial153.3%
Total461100% before rounding

No eligible record had an unknown offer-state label at this observation. That describes field completeness, not proof that every classification was accurate.

Why trials have their own category

A trial is time-limited access under a particular offer. Combining it with a permanently free entry state would conceal that difference. Combining its regular-price field with paid subscription prices could create another ambiguity about what is charged now.

For a fan, the useful question is what the specific offer permits and what happens when it ends. The free trial guide separates eligibility, duration, included access, and any later charge. This snapshot did not test trial redemption or renewal settings.

Free entry does not measure total spending

An offer-state label tells you one part of the access model. It does not reveal optional purchases, tips, taxes, bank charges, or what a fan chooses to buy. We did not collect transaction totals for this study.

OnlyFans' terms distinguish subscriptions from individually priced content. That is why the free account explainer treats the entry price and additional purchases separately. A count of free records cannot support a claim about how much their fans spend.

How to compare a future snapshot

A later count would need the same inclusion rules, comparable source coverage, and a clear observation date. Growth in the number of free records could come from newly discovered accounts, corrected classifications, or changed offers. It would not automatically mean creators switched pricing models.

To measure switching, a researcher would need matched records and preserved observations across time. Our two aggregate reads on this date are not such a longitudinal study. They are a baseline for understanding the directory as observed.

The aggregate CSV provides the counts and denominator so readers can recalculate the shares without accepting a rounded headline on trust.