PEPE

PepeCoin price 
PEPE

$0.0...02713
  

3.41% (1d)

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PepeCoin statistics
Market cap
 

0.00%

$68,163
#6448
Volume (24h)
 

72.24%

$693
#6050
Volume/Market cap (24h)
 
1.02%
Self-reported circulating supply
 
251,269,305,793,031 PEPE
59.73%
Total supply
 
420,690,000,000,000 PEPE
Max. supply
 
420,690,000,000,000 PEPE
Fully diluted market cap
 
$114,122
PEPE to USD Converter
PEPE
USD
Price performance
24h 
Low
$0.0...02623
High
$0.0...02721
All-time high
May 25, 2023 (a year ago)
$0.0...02233
-87.85%
All-time low
Aug 21, 2023 (8 months ago)
$0.0...04486
+504.67%
See historical data
Popularity
In watchlists11,025x
2143rd / 9.6K
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About PepeCoin

Pepecoin is a crypto project designed with three major utilities to drive its ecosystem: Pepe GPT, Pepe AI, and Pepe Scanner. Each of these elements provides unique functionality, adding immense value to users while enhancing the integrity and versatility of the decentralized network. Notably, the combination of these three innovative utilities characterizes Pepecoin as a platform that intertwines advanced artificial intelligence with blockchain technology.

One key component of the Pepecoin ecosystem, the Pepe Scanner, offers a user-friendly solution to identify common fraudulent activities within decentralized finance such as rug pulls and honeypots. By simply inputting the token contract address into the Pepe Scanner, users can gain immediate access to a comprehensive risk report, contract audit, and other crucial data. This tool increases transparency and reduces the risks associated with participating in decentralized financial systems.

Pepe GPT and Pepe AI represent the AI-driven aspects of the Pepecoin ecosystem. The Pepe GPT, standing for Generative Pre-trained Transformers, employs a type of neural network model built on the transformer architecture, widely recognized for advancing generative AI applications such as ChatGPT. On the other hand, Pepe AI leverages the power of diffusion models, underpinned by mathematical principles such as Gaussian fundamentals, variance, differential equations, and generative sequences. The diffusion models reshape the way complex generative AI tasks are approached, thereby directing the future trajectory of technological advancements.