Transaction enrichment datapoint
Tapix is returning the Google Places ID, which can be used to display additional merchant information.
Display place information from one of the most accurate and comprehensive models of the world.
Use place details to show everything from wheelchair-accessible establishments to whether a restaurant allows dogs.
Use fresh data from Google Maps, with over 50 million updates daily.
Create more useful products by accessing millions of place-related photos stored in Google's Places database.
Create new features that bring location data for over 200 million places to your users.
Benefit from open API documentation directly from Google
TapiX is ready for deployment in any market using comprehensive algorithms combined with human validation.
*Today we enrich over billion of transactions per month across EMEA, LATAM and NCA regions with coverage ranging from 65-85%.
Bring more value to your users through enriched payment data
TapiX uses multiple controls based on statistics, outlier detection and various algorithms to provide you with the best data quality possible. Data quality is supervised by our data team to prevent any mistakes. Due to the complexity of data quality checks, TapiX receives less than 1 complaint per 6 000 000 processed transactions.
Through the API you only transfer the terminal identifiers. TapiX fulfills the highest security standards and processes no personal information about your clients. We are ISO 27001 certified and GDPR compliant. Dateio stores and processes data in AWS which fulfills the highest security standards.
Note that if TapiX returned an “unsolved” shop it might be due to multiple reasons. The data provided might not be sufficient enough to identify the correct shop (e.g. not enough parameters provided) or TapiX simply does not recognize the shop now. TapiX always returns as much information as possible but it is always possible that some information about the shop or the merchant may be missing. Note that the quality of the service improves over time and your data can be solved in the near future.