• ETH DOMINANCE 10.2%
  • BTC DOMINANCE 56.4%
  • TOP SECTOR MASCOT-THEMED (45.2%)
  • TOTAL MARKET CAP $2.45T
  • ETH DOMINANCE 10.2%
  • BTC DOMINANCE 56.4%
  • TOP SECTOR MASCOT-THEMED (45.2%)
  • TOTAL MARKET CAP $2.45T
  • ETH DOMINANCE 10.2%
  • BTC DOMINANCE 56.4%
  • TOP SECTOR MASCOT-THEMED (45.2%)
  • TOTAL MARKET CAP $2.45T
  • ETH DOMINANCE 10.2%
  • BTC DOMINANCE 56.4%
  • TOP SECTOR MASCOT-THEMED (45.2%)
  • TOTAL MARKET CAP $2.45T
  • ETH DOMINANCE 10.2%
  • BTC DOMINANCE 56.4%
  • TOP SECTOR MASCOT-THEMED (45.2%)
  • TOTAL MARKET CAP $2.45T
  • ETH DOMINANCE 10.2%
  • BTC DOMINANCE 56.4%
  • TOP SECTOR MASCOT-THEMED (45.2%)
  • TOTAL MARKET CAP $2.45T
  • BTCBitcoin (BTC) $96,540.50 (+2.4%)
  • ETHEthereum (ETH) $2,850.20 (-1.2%)
  • SOLSolana (SOL) $188.50 (+5.6%)
  • XRPXRP (XRP) $1.12 (+8.4%)
  • LTCLitecoin (LTC) $98.20 (-0.5%)
  • SHIBShiba Inu (SHIB) $0.000026 (+3.1%)
  • BTCBitcoin (BTC) $96,540.50 (+2.4%)
  • ETHEthereum (ETH) $2,850.20 (-1.2%)
  • SOLSolana (SOL) $188.50 (+5.6%)
  • XRPXRP (XRP) $1.12 (+8.4%)
  • LTCLitecoin (LTC) $98.20 (-0.5%)
  • SHIBShiba Inu (SHIB) $0.000026 (+3.1%)
  • BTCBitcoin (BTC) $96,540.50 (+2.4%)
  • ETHEthereum (ETH) $2,850.20 (-1.2%)
  • SOLSolana (SOL) $188.50 (+5.6%)
  • XRPXRP (XRP) $1.12 (+8.4%)
  • LTCLitecoin (LTC) $98.20 (-0.5%)
  • SHIBShiba Inu (SHIB) $0.000026 (+3.1%)
  • BTCBitcoin (BTC) $96,540.50 (+2.4%)
  • ETHEthereum (ETH) $2,850.20 (-1.2%)
  • SOLSolana (SOL) $188.50 (+5.6%)
  • XRPXRP (XRP) $1.12 (+8.4%)
  • LTCLitecoin (LTC) $98.20 (-0.5%)
  • SHIBShiba Inu (SHIB) $0.000026 (+3.1%)

Perle

PRL#601
$0.201177
▼ 6.96%
Market cap$35.26M
Volume (24h)$3.92M
FDV$201.50M
Circulating supply175.00M PRL
Total supply1.00B PRL
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.