Body Scan AI

• Today

Info

Name

Body Scan AI

Symbol

ScanAi

Network

Solana

Market Cap

$274K

Total Supply

999.91M

Circulating Supply

999.91M

Holders

3,341

Volume (24h)

$20K

-4.27%

Trades (24h)

404

-31.64%

Traders (24h)

275

-27.06%

About

Body Scan AI ($SCANAI) is an innovative cryptocurrency designed to revolutionize health and wellness by merging AI-powered body scanning with blockchain technology. Users can scan their bodies to monitor health metrics such as composition, posture, and skin condition, while earning $SCANAI tokens for participation. These tokens can be redeemed for consultations, fitness services, or health products within the SCANAI marketplace. With decentralized storage ensuring privacy and security, users maintain full control of their sensitive health data while benefiting from personalized AI-driven insights. Beyond personal wellness, Body Scan AI contributes anonymized data to medical research, supporting advancements in disease prevention and personalized medicine. This makes SCANAI not only a tool for individual empowerment but also a driver of global healthcare innovation.

Website

FAQ

The market capitalization of ScanAi is $274K as of Sep 5, 2025.

Market capitalization is calculated by multiplying the current price of ScanAi by its circulating supply. It reflects the overall value of the token in the market and helps gauge its relative size compared to other cryptocurrencies.

The daily trading volume of ScanAi is $20K as of Sep 5, 2025.

Trading volume can fluctuate based on market conditions, investor activity, and overall demand for ScanAi .

The total supply of ScanAi is 999.91M.

The circulating supply, which represents the number of ScanAi currently available in the market, is 999.91M as of Sep 5, 2025.

ScanAi can be bought and traded on a variety of cryptocurrency platforms, including Phantom!

Pricing information is provided for informational purposes only and is not financial advice. Market data is provided by third parties and Phantom makes no representation as to the accuracy of the information.