Chainalysis becomes compatible with Lightning Network | The creator of Shiba Inu aims to create a new way of using SHIB2 min read
In February, the Chainalysis analytics platform will begin supporting the Lightning Network scaling solution.
Lightning Network compatibility will be available to Chainalysis users to meet the requirements of Know Your Transaction (KYT). KYT helps virtual asset service providers, such as exchanges, identify risks and illegal activity.
Product Director Pratima Arora said:
Now, virtual asset service providers will be able to allow the insertion and selection of BTC from the Lightning node in accordance with unnecessary requirements.
She added that KYT will provide transaction alerts through Lightning and pre-screening transfers.
We hope to enable our customers to consistently support Lightning transactions, increasing the network’s popularity and helping to expand it.
Lightning Network is a decentralized Layer 2 protocol for sending instant BTC payments.
Shiba Inu (SHIB) aims to expand the use case to be in 2022 more attractive in the crypto market.
As long-term traders choose the cryptocurrencies based on its use, the new SHIB plan could boost the holders’ confidence in the token. At the moment, we see that the price of SHIB has fallen by almost 50% and it is difficult to estimate how it will behave next year.
Interestingly, the project, which began as another memecoin, has already achieved the listing of the native SHIB token on large volume exchanges and has been added to the many payment croup services that accept them as a means of payment.
In addition, according to SHIB co-founder Rūoshi, Shiba Inu is currently forming his own meta version of Oshivers, in addition to finding new use cases.
We are working on many aspects of Shiba Inu including Shibarium, Shi, Shibanet, decentralized Shiboshi game, incubator and more that will become apparent in the near future.
If at least Z0% of the above is implemented, Shiba Inu could become a leader again in 2022, both in terms of token growth and usage intensity.
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