What this is
A reference, not a media outlet. We do not write reviews from an advertiser's account of itself: each record is assembled from what we could verify and carries a trust passport — where the entry came from, when it was last refreshed, what is confirmed. Where there is no data, the field stays empty. We do not draw figures, we do not sell places in rankings (the one paid section is NeTOP, and it says so on the page), and we charge neither candidates nor employers.
affpapa.org is an independent open-data project: our own databases, demand index, complaints record and API. It is not connected to the conference catalogue affpapa.com and shares no data with it.
Where the figures come from
Every counter on the site is a live query. Below is the same arithmetic the menu shows.
- NeBlask — 2,497 operator brands: licences pulled from regulator registers, domains, search demand by country, outside ratings. The autopilot rechecks sources once a day.
- NeRating — 73,975 player complaints from 11 platforms: Casino Guru, Trustpilot, Bookmaker-Ratings, Legalbet and others. Collected daily. Reposts are merged by SimHash; the category is assigned by a model.
- NeCatalog — affiliate programs, CPA networks, services, teams and agencies; 2,233 expert profiles. Synced weekly.
- NeBaza — 11,990 companies with contacts; sites are rechecked in a loop, 400 domains a day.
- NeTGStats — 379 industry Telegram channels, audience and dynamics from tg.observer, refreshed every 4 hours.
- NeArbiHunter — 1,262 open jobs from 30 Telegram sources and CPA aggregators; channels are read every 2 hours. The mechanics are on the methodology page.
- News — 1,294 notes: RSS from 15 sources is read every 15 minutes, and an AI gatekeeper lets through only what changes the reader's business.
- NeEvents — 173 upcoming events: conferences and meetups; the glossary holds 298 terms; NeNutra and NeGambling list 21,779 offers.
How we count
Each section has its own methodology: where the data comes from, what we count, and what we refuse to do.
- NeBlask — demand index, Trust Score, licences
- NeRating — complaints, statuses, risk index
- NeArbiHunter — job postings and salary ranges
- NeTGStats — reach, prices, CPM
- NeResume — profiles and contacts
- NeCatalog — service and affiliate program records
- NeEvents — the event calendar
- NeTube — YouTube channels in the niche
What the AI does, and what it does not
Models structure raw text — a job posting, a complaint, a catalogue description — strictly against the source, and write short summaries from facts already in the database. The rule is hard: every number in such a text must be present in the input, or the text is rejected and never published. Trust scores, ratings and counters are not invented by a model; code computes them by the rules described above.
Tools
- NeMail — disposable mailbox that picks up OTP codes on its own
- NeAhrefs — SEO monitoring for your own sites on top of Search Console (alpha, sign-in with Google)
- NeTools — JSON, Base64, JWT, UTM, hashes and regular expressions in the browser
- NeConf — a 3D exhibition hall of industry conferences
Data
Exports: JSON, CSV, NDJSON and RSS in the sections that have them. To take a record down, fix an error or suggest a source, write to [email protected].
