ika.in

Created 2007-03-05 Expires 2027-03-05 InterNetX GmbH

WHOIS Information

Source: WHOIS · updated 1 小时前

Domain	ika.in
Registrar	InterNetX GmbH
Created	2007-03-05
Expires	2027-03-05
Updated	2026-04-19
Status	Client Transfer Prohibited
Name Servers	ns.frei.net ns1.ika.de ns2.frei.net
Registrant Country	DE
DNSSEC	unsigned

Valuation Details

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Estimated Value ¥25,000 - ¥75,000

Overall Score 80 / 100（A）

Assessment High-quality domain with strong investment value

Confidence High

Dimension	Impact	Details
TLD	+2	Mainstream TLD .in
Length	+14	SLD "ika", 3 characters
Brandability	+6	Vowels 67%, smooth consonant-vowel flow, ends with a vowel
Domain Age	+8	Registered about 19.6 years
Comparable Sales	0	Based on 114 comparable sales, median about $3,805

Domain Sales History

Domain	Price	Date	Type	Venue	Source
ika.in	$1,500	-	平台/经纪交易	Sedo	DNJournal 归档

Registration History

2 snapshots

2026-10-21 1 小时前 WHOIS

Registrar: InterNetX GmbH
Expires: 2027-03-05
Status: Client Transfer Prohibited
Name Servers: ns.frei.net, ns1.ika.de, ns2.frei.net

2026-10-20 1 天前 WHOIS

Registrar: InterNetX GmbH
Expires: 2027-03-05
Status: Client Transfer Prohibited
Name Servers: ns.frei.net, ns1.ika.de, ns2.frei.net

DNS Records

A	212.185.176.6
AAAA	-
MX	10 de-smtp-inbound-2.mimecast.com<br>10 de-smtp-inbound-1.mimecast.com
NS	ns1.ika.de<br>ns2.frei.net<br>ns.frei.net
TXT	MS=ms85404822<br>QQFWJ5nhMSWIbyzopApXZsSEiUcdwIxLkLTI3KGVLDEJa6bAvytRNI4V8w/ZLXhn6WuEYIXe+tmNl2Z54f4iBw==<br>docusign=e353a649-6f54-4807-81c9-b534c145ccf1<br>swisssign-check=lTfcYeKcbmKKRynXtqqEwg5oFgM<br>v=spf1 mx include:de._netblocks.mimecast.com include:spf.de.umantis.com -all<br>figma-domain-verification=511e868cb1b3656579859fc973d83b8cecd788a71b5f3c07b1d3af9c706fb5f0-1739977126<br>atlassian-domain-verification=R0tO/9NjayxICj04/k8fbV4iHMY2t47eL0L6xBrQl3NbFQWNN15KiI9AGKXP/Sus<br>google-site-verification=TRrvHuu4ouvbAq0Z3KRioMp4fGy8aszbxwvt4_khUUU

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Data Notice

Registration data comes from public RDAP/WHOIS protocols, cached for 24 hours. Snapshots are recorded continuously. Sales data comes from public reports. Valuations are algorithmic estimates.