Sweepbase.net VS Data Analytic System

Sweepbase.net's answer

Most crypto card comparison sites rank the 5 to 10 cards that pay the biggest affiliate commission and ignore the rest. Sweepbase shows 139 cards with the same 35 data fields, whether they pay us or not. The fee tables are identical for every card, and the ones that do not pay a cent get the same visibility in filters and search as the ones that do.

No upsell, no paywall, no email wall. You can use the full site without typing a single character about yourself.

Data Analytic System's answer:

Every data panel and every article names its source and date. The platform is run by a small Budapest-based publisher (Data Analytic Investments Kft.) and combines live market data for crypto, equity indices, FX and commodities with an EU MiCA/CASP authorisation tracker, a free glossary and learning modules, and documentary studies such as the RIPPLE book, in which every factual claim carries a verifiable reference. Content is produced with a documented human+AI verification workflow (Uncle Sunny method): a human editor closes every item. Educational content only, not investment advice.

Sweepbase.net's answer

Three reasons, in order of how much they matter.

First, the data is wider. 139 cards vs. 20 to 30 on most sites. That covers self-custody cards like Gnosis Pay, Zeal and Rebind, a bunch of regional neobanks, and niche no-KYC cards that the big sites skip because they do not pay a commission.

Second, the fee calculator. You punch in your monthly spend and see what a card actually costs you after cashback, not a marketing number. For two cards it also shows where the break-even is.

Third, every card page has a Report Error button. Crypto cards change their terms every few months. If you catch something out of date, one click gets it fixed, usually within a day.

Data Analytic System's answer:

Price trackers like CoinGecko or CoinMarketCap show numbers; Data Analytic System shows the numbers together with their source, date and context, and adds what trackers do not: an ESMA-based MiCA/CASP status list for EU exchanges, sourced documentary studies, a free glossary and learning modules, and multilingual e-books (EN, HU, ES). The free tier has no delay and the same data as the paid tier. We do not sell trading calls or recommendations of any kind.

Sweepbase.net's answer

Mostly people who have some crypto and want to spend it without giving back 2 to 3 percent to the card issuer on every swipe.

Rough groups, in order of traffic share:

Travellers who got burned by FX markup on their old card and want to pre-check the real cost before applying again.

DeFi users who want a self-custody card (Gnosis Pay and the wrappers on top of it) and do not trust another custodial wallet with their keys.

Crypto holders new to cards who want a neutral, fee-first view before handing over KYC to another exchange.

Smaller groups: yield chasers comparing staking tiers, high spenders looking at premium metal cards, and people in emerging markets where regular cards are a pain to get.

Data Analytic System's answer:

People who want to understand crypto and macro markets rather than be told what to do: self-directed readers, students, journalists and compliance-minded professionals in the EU, plus Hungarian- and Spanish-speaking readers who lack sourced material in their language. Typical use: checking a data point with its source, reading the MiCA status of an exchange, or working through a learning module.

Sweepbase.net's answer

I kept trying to answer simple questions like "which crypto card is cheapest if I spend 800 dollars a month on groceries and fly twice a year" and could not get a straight answer anywhere. Every existing comparison site had maybe 10 cards, affiliate-ranked, no calculator, and was full of "best of" lists that looked suspiciously alike.

Most review blogs read the same way: Crypto.com is best, Coinbase is best, Binance is best. Always depending on who paid that month.

So I built the thing I wanted to use. Started with 40 cards in a spreadsheet in February 2026, got to 139 cards by April. No funding, no team, just the site and a CSV that gets audited every month.

If a card is missing, people tell us and we add it. If a card is wrong, people hit Report Error and we fix it. Simple.

Data Analytic System's answer:

Data Analytic Investments Kft. was founded in Budapest in 2026 by Janos Szabo. The starting point was frustration with crypto content that mixes facts, opinion and promotion without references. The answer was a publishing method (Uncle Sunny) in which nothing is published before it is challenged and sourced, and a site built around that rule. The first flagship product was the RIPPLE documentary study (ISBN 978-615-83207 series, HU/EN/ES); the market-data dashboards, the MiCA tracker and the learning sections followed.

Sweepbase.net's answer

Next.js 15 with the App Router, TypeScript 5, React 19. Zod for schema validation on card data, PapaParse for the CSV pipeline, Fuse.js for client-side fuzzy search.

Hosted on Vercel. Sentry for errors, Vercel Analytics and GA4 for traffic. Upstash Redis for rate limiting, Resend for the newsletter, html2canvas-pro for the share-a-card screenshots.

No database. Every card lives in a single CSV that gets parsed at build time and validated with Zod. Auditing data is as easy as opening a spreadsheet, which is the whole point.

732 unit tests in Vitest, Playwright for end-to-end. ISR on the home page with on-demand revalidation via a secret webhook whenever the CSV gets updated.

Data Analytic System's answer:

A TypeScript/React web application with server-side rendering, a MySQL database, and Stripe for payments. Market data comes from public exchange and data-provider APIs; regulatory data from ESMA registers. The editorial workflow uses several AI systems under human review, with every published claim tied to a named source.