FOR fintechs - VISA/MC requirements compliance

Visa & Mastercard - Ready Clarity For Every Purchase

Tapix enables fintechs and card issuers to comply with Visa’s Enhanced Merchant Data requirement and Mastercard’s AN4569 Revised Standards while transforming compliance into a digital experience customers love and trust.

Will you comply, or will you lead?

Confused transactions cost more than chargebacks. They cost engagement, trust, and loyalty.

Visa’s (23 January 2027) and Mastercard’s (1 October 2023) Enhanced Merchant Data requirements set the baseline, but leading banks go further, using enriched data to create seamless, transparent experiences that deepen loyalty.

Enhanced Data Rules are more than compliance. They’re a chance to redefine digital banking clarity.

Built on bank data. Tuned for compliance

From a cryptic descriptor to the full story behind every payment

Whatever the source — card, A2A, QR, or open banking — Tapix enriches every payment into the same clear, recognisable record: the real merchant, category, location and purchase context.

Matched against 60bln+ enriched transactions
Sorted into 25 categories with 520+ tags
1 error per 6 000 000 enriched transactions
how tapix works

Turn Compliance into Strategic Advantage

Send a raw transaction, get back the correct merchant, logo, category, location, and more in real time, all from continuously updated data. One call, ready to build on

Recognise merchant identity, even hidden one

Individual store-level identification for merchant name and logo

Distinguish sub-brands and franchises (Amazon vs Amazon Prime)
Uncover the real merchant hidden behind payment gateways
Localised name and logo based on country of purchase

Go beyond MCCs

MCC codes misclassify 1 in 3 transactions. Categorise every transaction with a four-level labeling system

25 PFM ready categories and 500+ ready-made store-level tags
Category labels for retail, B2B, lending & scoring, and investments
Identifies and classifies every recurring transaction with pattern detection

Simplify users' path to merchants

Provide users with seamless access to merchants through purchase GPS location, phone number, URL or Google Place ID

Show real store location, not the merchant HQ
Identify physical, online, and payment-gateway purchases
Add business touchpoints in case of need

Features are only as good as the data

Consistent, high-quality transaction data enables building a clear, scalable customer experiences across markets at production scale supported by:

Feedback API
Cross-market data consistency
Data auto-update mechanism and Invalidations
Business outcomes

Exceed mandate expectations

Tapix helps elevate the transaction experience to the same level of excellence customers expect from Europe's digital leaders such as Revolut or bunq.

Compliance, confidently delivered

Fulfill requirements of Visa’s and Mastercard’s Enhanced Merchant Data rules on time and with confidence.

Boost mobile app engagement

Give users a reason to open the app every day with clear transactions and smart features built on consistent data.

Build features customers adopt

Build high-value features on structured payment data. Clear merchant identity, accurate categorisation, and exact location for every payment.

Higher app store ratings

Clarity builds emotional connection. Every clear transaction is a small moment of trust that compounds over time.

Built for Agile Fintech Teams

Tapix operates as a structured data enrichement layer delivered via secure API integration. Review the detection logic, data attributes, integration patterns, and security approach in the technical overview.

REST API-based
No core systems changes required
Deplayable within weeks
Works on top of existing transaction feeds
Security certifications ISO 27001, ISO 27018, SOC 1 Type 2, SOC 2 Type 2, ISO 20000-1, ISO 27701, ISO 9001
"As an entirely mobile bank, the pressures of innovating to match expectations is something that we thrive under. The mobile revolution has made a massive impact on society both in the way we communicate but also the rate at which we want our needs to be met. This is something that our partners at Dateio clearly agree on."

Ali Niknam

Founder & CEO at bunq

Visa and Mastercard mandate compliance FAQ

Frequently asked questions about how Tapix supports Mastercard AN4569 and the Visa Enhanced Merchant Data requirement.

Does Tapix support Mastercard AN4569 and the Visa Enhanced Merchant Data mandate?

Yes. Tapix supports both mandates as part of its standard integration, returning merchant name, logo, location and contact details in the required format without additional configuration.

Can Tapix handle both mandates as part of a single integration?

Yes, Tapix is independent of card schemes, so it can provide you with enhancements for both schemes (Visa and Mastercard) simultaneously as part of a single integration.

What quality are the logos delivered in?

Logos are delivered in high-resolution, standardised 512 × 512 formats optimised for mobile banking and fintech apps. They are visually refined for both circular and square displays to ensure a consistent user experience. Every logo is reviewed by a human team and updated to reflect merchant rebrandings.

What transaction details can Tapix provide?

Depending on the use case, Tapix provides a clean merchant name, logo, category, store location, website, phone number, Google Places ID, payment gateway information, recurring-payment insights and carbon estimates. Banks decide which data points to surface to customers based on their use case.

What happens when a transaction goes through PayPal or another payment gateway?

Tapix returns correct merchant hidden behind gateway. We recognise 65+ payment gateways and methods, Traditional gateways and platforms such as Stripe or Paddle, BNPL providers like Klarna, Mollie or Zilch, Digital wallets like PayPal, Amazon Pay, Alipay or Wallet One  Even PoS payment systems like Zettle.

See Tapix in Action

30-minute walkthrough with a live demo tailored to your business model and transaction data. See how Tapix turns raw payment records into real inputs using sample data that reflects your real-world scenarios.