Open data: the OnlyFans agency dataset
Everything we record about the 134 OnlyFans agencies in the ranking is also published in machine-readable form: score and criteria, the six verification checks with evidence, the 20-point checklist with source pages and, for the 33 agencies that publish one, the commission rate with its source. The files are generated on every build from the same data as the review pages, so there is no second version of the truth.
Use them to build your own comparison, check a listing against its sources, or quote a figure with a stable URL. Each record links back to the agency’s review page and to the pages its evidence came from, so every value can be checked at the source.
Files
| File | Format | Size | What it contains |
|---|---|---|---|
| agencies.json | JSON | 717.9 KB | All 134 agencies in rank order: score, the six criterion scores, location, founding year, services, published commission with source, verification checks with evidence, the 20-point checklist with evidence and source pages, and the publisher-affiliation flag. |
| methodology.json | JSON | 12.1 KB | The scoring rules for all six criteria, the six verification checks, the 20 checklist items with their rules, ranking and tie-break rules, what the data does and does not measure, and the publisher disclosure. |
| agencies-2026.csv | CSV | 36.2 KB | One row per agency with rank, score, each verification check, published commission and every checklist point. Easiest file for spreadsheets. |
| statistics-2026-10.json | JSON | 11.5 KB | This month’s edition of the 40 statistics, as published on the statistics page. |
| feed.xml | Atom | 22.5 KB | Every dated change to the ranking, listings and guides, as a feed. |
| llms-full.txt | Text | 189.5 KB | Full plain-text reference for AI assistants: methodology, all statistics, one section per agency and all guides. |
| llms.txt | Text | 43.6 KB | Short site map for AI assistants (llmstxt.org format). |
What is in agencies.json
rank, score: Position and score (0–10); score_set_by_editors shows whether a position is set editorially.rubric: The six criteria, each 0–10, rounded to one decimal.commission: Published rate with basis, source page and date checked, or null (for 101 of 134 agencies).verification: Date checked, checks passed, the six checks as true/false and the evidence for each confirmed check.checklist: Date checked, points (met = 1, partly met = 0.5), and for each of the 20 points its status, evidence and source page.affiliated_with_publisher: true only for OnModelStudios.review_url, legit_url: The agency’s review page and legitimacy check.
The 20 checklist points and the six verification checks are defined with their rules in methodology.json.
License and how to cite
The data is published under CC BY 4.0: you may reuse it freely, including commercially, as long as you credit OFAgencies and link to this page or the specific source. Cite a single statistic by its anchor on the statistics page and a single agency by its review page. Suggested citation:
OFAgencies (2026). OnlyFans agency dataset, edition 2026-10-27. ON STUDIOS MANAGEMENT LLC. https://ofagencies.com/open-data/ (CC BY 4.0).
Update cadence
The files are regenerated every time the ranking is rebuilt (last on Oct 27, 2026). Each agency carries its own check dates for verification, checklist and commission. Statistics are also kept as a monthly edition, and every change is logged on the changelog and in its Atom feed.
What the data measures, and what it does not
A point counts only if the agency publishes or states it. How an agency works privately cannot be observed, so the data measures disclosure, not quality. Scores are not user reviews. Points we could not confirm are left unticked rather than assumed. The exact rules are in methodology.json and on the about page; totals across all agencies are in the State of OnlyFans Agencies 2026 report and the statistics. Answers to common questions about each agency are collected in the question index.
Disclosure
OFAgencies is published by ON STUDIOS MANAGEMENT LLC. OnModelStudios is affiliated with the publisher of this site; it is scored with the same published rules. That is why affiliated_with_publisher is true for OnModelStudios only in agencies.json.