
Multiple Network current market price is $0.00048653 with a 24 hour trading volume of $273.42K. The total available supply of Multiple Network is 1.00B MTP with a maximum supply of 1.00B MTP. It has secured Rank 9650 in the cryptocurrency market with a marketcap of $21,868. The MTP price is 1.54% down in the last one hour.
The high price of the Multiple Network is $0.00055381 and low price is $0.00048591 in the last 24 hours. Live prices from all markets and coin market Capitalization. Stay up to date with the latest price movements. Check our coin stats data and see when there is an opportunity to buy or sell at best price in the market.
9650
$0.00048653
$21,868 11.98%
$485.96K
$273.42K
45.00M MTP
1.00B MTP
1.00B MTP
$0.00055381
$0.00048591
$0.0535 99.09%
25 Aug 2025
$0.00011708 315.55%
29 Sep 2025
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1.54%
8.4%
5.72%
1.51%
28.77%
63.72%
0%
0%
No historical data available for .
Compare live prices of Multiple Network on top exchanges.
| # | Exchange | Pair | Price | Volume(24h) | Trust Score |
|---|---|---|---|---|---|
| KCEX | MTP/USDT | $0.00049295 | $179,611 | ||
| PancakeSwap V3 (BSC) | 0X83330D159C9A4B09E6717FEEFEF7A634B70D216A/0X55D398326F99059FF775485246999027B3197955 | $0.00049621 | $25,488 | ||
| MEXC | MTP/USDT | $0.00049025 | $61,374 | ||
| Uniswap V3 (BSC) | 0X83330D159C9A4B09E6717FEEFEF7A634B70D216A/0X55D398326F99059FF775485246999027B3197955 | $0.00048992 | $6,635 | ||
| Uniswap V4 (BSC) | 0X83330D159C9A4B09E6717FEEFEF7A634B70D216A/0X55D398326F99059FF775485246999027B3197955 | $0.00050219 | $54 |
Multiple Network is a Web3 Private Acceleration Solution for AI that provides privacy protection and data acceleration services based on P2P and SD-WAN technologies. By aggregating the bandwidth of distributed nodes, it offers anonymous communication and encrypted transmission services. Multiple Network provides higher bandwidth and lower latency, widely used in AI model invocation, search engine interactions, and the encryption and acceleration of large-scale sensitive data, enhancing the efficiency and security of AI model training and inference.

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