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| facebook        = [https://www.facebook.com/ntldstats nTLDStats]
| facebook        = [https://www.facebook.com/ntldstats nTLDStats]
| twitter        = nTLDStats
| twitter        = nTLDStats
| keypeople      = [[Stefan Meinecke]], Owner
| keypeople      = [[Stefan Meinecke]], Owner<br>[[Denis Wisotzki]], COO
}}
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Revision as of 20:01, 23 May 2016

Type: Privately Held
Industry: Internet
Founded: Munich, 2014
Founder(s): Stefan Meinecke
Ownership: greenSec Solutions
Headquarters: Gustav-Heinemann-Ring 60, Munich
Country: Germany
Businesses: Data Provider
Email: mail [at] ntldstats.com
Website: ntldstats.com
Blog: blog.ntldstats.com
Facebook: nTLDStats
Twitter: @nTLDStats
Key People
Stefan Meinecke, Owner
Denis Wisotzki, COO

nTLDStats offers extensive statistics and breakdowns for new gTLDs. It has been created by greenSec Solutions in March 2014 and provides detailed statistics, such as total registered domain names, domains registered through a specific registrar, among others.

In March 2014 the domain name blog TheDomains did an interview with the founder of nTLDStats to find out his motivation behind this project. [1]

Services

nTLDStats provides statistics and breakdowns about:

  • Registered new gTLD Domain Names
  • Registrars
  • Registry Backend Provider
  • Registry Operators
  • Registrants
  • Countries
  • DNNSEC
  • WHOIS
  • Launch Dates
  • Fraud
  • Parking

Since May 2014 registries, registrants and large domain holders can update their data to help keeping their data accurate.[2]

nTLDStats also provide an API. It is still in beta, but it provides access to most of the statistics and breakdowns.[3]

Additional to that, they provides a WHOIS validator to check any given new gTLD WHOIS output for compliance with the Registration Data Directory Service Specifications set throughout various ICANNs RAs.[4]

Controversy

Even though nTLDStats became quite popular, there are still doubts that the provided statistics are accurate. The main reason for those divergences shown by competitors are different methods being used to determine statistics or excluding domain names as internal ones.[5]

External links

References