Perle
PRL#883Solana$0.1167+4.22%
Contract
PERLEQKU…fs6pDsPerle (PRL) is currently trading at $0.1167, up 4.22% over the past 24 hours, and ranks #883 by market capitalization. Over the past week it is down 2.73%. That puts Perle 75.06% below its all-time high of $0.4678, set on August 19, 2026. Its 24-hour trading volume stands at $1.88M.
Loading...Price Performance
1H
+0.07%
1D
+4.22%
1W
-2.73%
1M
-32.86%
1Y
—
Market Data
Price
$0.1167
Market Cap
$20,416,441.00
24h Volume
$1,876,430.00
24h High
$0.1192
24h Low
$0.112
Circulating Supply
175.00M
Total Supply
1.00B
Max Supply
1.00B
Fully Diluted Valuation
$116,665,374.00
All-Time High
$0.4678
-75.06% from ATH · 8/19/2026
All-Time Low
$0.1046
+11.59% from ATL · 9/15/2026
Last updated
9/30/2026, 2:34:40 AM
Markets
| # | Exchange | Pair | Price | 24h Volume | Spread | |
|---|---|---|---|---|---|---|
| 1 | PRL/USDT | $0.1168 | $664,691.00 | 0.36% | Trade | |
| 2 | PRL/KRW | $0.1168 | $529,632.00 | 0.63% | Trade | |
| 3 | PRL/KRW | $0.116 | $108,893.00 | 0.64% | Trade | |
| 4 | PRL/USDT | $0.1165 | $89,634.00 | 0.17% | Trade | |
| 5 | PRL/USDT | $0.1167 | $68,836.00 | 0.34% | Trade | |
| 6 | PRL/USDT | $0.1166 | $60,819.00 | 1.02% | Trade | |
| 7 | PRL/USDT | $0.1166 | $58,102.00 | 0.26% | Trade | |
| 8 | PRL/USDT | $0.1168 | $55,200.00 | 0.34% | Trade | |
| 9 | PRL/USDC | $0.1166 | $54,832.00 | 0.68% | Trade | |
| 10 | PRL/USDT | $0.1166 | $48,355.00 | 0.27% | Trade |
1
LBankPRL/USDT
$0.11682
UpbitPRL/KRW
$0.11683
BithumbPRL/KRW
$0.1164
GatePRL/USDT
$0.11655
ToobitPRL/USDT
$0.11676
CoinWPRL/USDT
$0.11667
MEXCPRL/USDT
$0.11668
BingXPRL/USDT
$0.11689
MEXCPRL/USDC
$0.116610
BloFinPRL/USDT
$0.11661 / 2
Frequently asked questions about Perle
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About Perle
Perle Labs is a web3-powered AI platform on Solana that connects verified experts with enterprises and research teams to train and improve AI models. Professionals, researchers, and domain specialists earn rewards and build on-chain reputations by completing high-quality data annotation and validation tasks.
Pain points the project addresses includes:
Human Data Bottlenecks: Continuous need for high-volume, high-quality data annotation, evaluation, and RLHF, but existing pipelines lack scalability.
Low-Quality Feedback: Reliance on generic labor pools without domain expertise, leading to noisy signals and degraded AI accuracy.
Lack of Verifiability: Opaque processes without audit trails for contributor performance and quality.