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Buzz Crafter
CREATOR DATA & STATISTICS

Famez Creators Network Statistics

Aggregated creator-network statistics from the Famez Creators API, with snapshot dates, source boundaries and transparent methodology.

Published September 23, 2026 · 2 min read

This page reports aggregated statistics from the Famez Creators dataset when a verified API snapshot is available. It is designed to answer a different question from Buzz Crafter campaign case studies: the campaign pages measure traffic delivery, while this dataset describes the profiles represented in the Famez Creators network.

First-party network dataset

Famez Creators network statistics snapshot

Snapshot: 2026-09-01

Unique creators48.563Published creator records represented in this snapshot.
Platform profiles49.231Platform-profile records across represented creators.
New creators · 30 days19.7179.814 added in the latest 7-day window.
DACH profiles2.2484,6% of the represented dataset.

Platform distribution

GroupProfiles
OnlyFans20.826
4Based15.769
F2F6.440
Maloum2.406
FansyMe2.220
Visit X1.382
Famez159
Fansly0
BestFans0
Fanvue0

Zero values: A zero means no published profile was counted for that platform in this Famez snapshot. It does not mean the platform has no creators globally.

Country distribution

GroupProfiles
Netherlands2.699
Germany1.933
Belgium996
Colombia501
Argentina406
USA335
Austria225
Ukraine178
Philippines172
Spain156
Malta142
France130

Gender distribution

GroupProfiles
Female17.919
Male2.924
Trans338
Diverse85
Couple17

Language distribution

GroupProfiles
German8.942
English1.384
Spanish477
Portuguese37
Dutch30
French23

Creator topics

GroupProfiles
MILF1.747
Dominatrix1.378
Curvy1.080
Tattoo954
Cosplay933
Feet601
Everyone390
Toys330
BDSM288
Dirty Talk288
Beaches287
Feet280
English (English)273
German (Deutsch)268
Natural267

Taxonomy coverage

FieldProfiles classified
Country10.200 (21,0%)
Gender21.283 (43,8%)
Language10.893 (22,4%)
Topic6.963 (14,3%)

30-day dataset trend (comparison: 2026-08-26)

MeasureChange
Total creator count23,1%
Onlyfans2,0%
4based109,3%
F2f0,3%
Fansyme24,3%
Fansly0,0%
Bestfans0,0%
Maloum0,1%
Visitx0,8%
Fanvue0,0%

Evidence boundary: Aggregated data from published creator profiles in the Famez Network directory. It does not represent the entire global creator market.

Privacy: No IP addresses, visitor identities, raw click logs, profile-level private data or admin diagnostics are exposed by this endpoint.

What this dataset can tell us

Depending on the fields returned by the Famez Creators API, the snapshot can describe the number of creator profiles represented, platform distribution, country distribution, creator categories and pricing status. These are descriptive statistics about the source dataset. They should not be interpreted as the market share of a platform or as a census of all creators online.

Why dataset scope matters

A network database is shaped by its acquisition sources, import rules, verification rules, supported platforms and cleanup processes. If one platform contributes more profiles to the database, that does not automatically mean the platform has the same share of the wider creator economy. Buzz Crafter therefore publishes the source, snapshot date and evidence boundary next to the data.

Measured, calculated and modeled

Evidence type How it is used here
Measured Counts returned by the Famez Creators API snapshot.
Calculated Shares, ratios or changes derived from measured counts when the underlying fields are available.
Modeled Not presented as observed network statistics. Scenario models belong in Buzz Crafter tools and are labeled separately.

How Buzz Crafter uses the network data

The statistics can add context to platform guides, creator-growth articles and niche discovery content. For example, a platform guide may show how many profiles from that platform are represented in the current Famez Creators snapshot. That is useful contextual information, but it remains a property of the dataset rather than a universal platform ranking.

Update process

Buzz Crafter retrieves the aggregated API snapshot server-side, stores it locally and refreshes it on a scheduled basis. Public pages read the cached snapshot rather than calling the Famez Creators API on every page view. This improves reliability and prevents the private API credential from being exposed in browser requests.

Related analysis

METHODOLOGY

Interpret the number in context.

Buzz Crafter separates measured campaign fields, calculated ratios and modeled scenarios. Campaign examples are specific datasets and should not be treated as universal platform benchmarks.

Read Data Methodology