What is the price of META FINANCIAL AI today?

META FINANCIAL AI (MEFAI) trades at $0.001121 (₹0.105923), up 9.58% over the last 24 hours.

What is the market cap of META FINANCIAL AI?

META FINANCIAL AI has a market capitalisation of about $632,524, from a circulating supply of 564,249,706 MEFAI.

What is the META FINANCIAL AI price in India today?

META FINANCIAL AI is ₹0.105923 in Indian rupees, converted from the live dollar price at the current USD/INR rate.

Where can I trade META FINANCIAL AI?

META FINANCIAL AI is priced here from weex. The markets table on this page lists every exchange we track that carries MEFAI, along with any decentralised pools holding the token.

META FINANCIAL AI (MEFAI) Price & Market Cap

MEFAI price

Artificial Intelligence (AI)Decentralized Finance (DeFi)BNB Chain EcosystemSolana Ecosystem

META FINANCIAL AI Markets

Exchange names link to that venue’s own trading page for the pair. Listing a market is not an endorsement of it.

#	Exchange	Pair	Price	24h %	Volume (24h)
1	WEEX	MEFAIUSDT	$0.001121	▲ 9.58%	$1.22K

Related to META FINANCIAL AI

ConvertMEFAI to INR MEFAI to USD

CategoriesArtificial Intelligence (AI)Decentralized Finance (DeFi)BNB Chain Ecosystem Solana Ecosystem

Trades onWEEX

Ranked nearby#2034 Quantinuum (bStocks Tokenized Stock) (QNTB)#2035 Sentio Token (ST)#2037 D-Wave Quantum (Ondo Tokenized Stock) (QBTSON)#2038 AgenC (AGENC)

Get the MEFAI price widget

Paste this into your page for a live META FINANCIAL AI price card, in rupees (fiat=inr) or dollars (fiat=usd):

<iframe src="https://cryptokoincap.com/widget/price/MEFAI?fiat=inr" width="300" height="140" frameborder="0" title="META FINANCIAL AI price"></iframe>

About META FINANCIAL AI

MEFAI is an institutional-grade trading intelligence system leveraging AI to process high-frequency data streams from on-chain activity, derivatives markets, order book depth, and behavioral sentiment. It delivers real-time structural market bias signals for strategic decision-making. Designed for professionals, MEFAI eliminates emotional bias and provides a transparent, rules-based edge in modern algorithmic environments.