Compare EigenCloud (EIGEN) vs Recall (RECALL) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
EigenCloud vs Recall — how do they compare? EigenCloud trades at Rp3,071 (market cap Rp2,68T, Rp162,8M 24h volume), while Recall trades at Rp871.46 (market cap Rp286,58M, Rp22,82M 24h volume). The key difference: EigenCloud is far larger — about 9351.7× Recall's market cap, and Recall's supply is capped (329,4M / 1B RECALL (33%)) while EigenCloud's keeps growing. Which is the better fit depends on your goals — on Pluang, investors hold EigenCloud for 26 Days and Recall for 8 Days on average.
| EIGEN | RECALL | |
|---|---|---|
Market Cap | Rp2,68T | Rp286,58M |
Volume (24h) | Rp162,8M | Rp22,82M |
Circulating Supply | 874M EIGEN | 329,4M / 1B RECALL (33%) |
Typical Hold Time | 26 Days | 8 Days |
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
About EigenCloud
The EIGEN token is a universal work token designed for EigenLayer, providing security for various digital tasks that are not only objectively verifiable but also intersubjectively attributable. Unlike traditional work tokens that are tied to specific digital tasks or objective faults that are verifiable on-chain, EIGEN addresses a broader category of faults where multiple external observers agree on whether the task was performed correctly. This expands the range of tasks that can be securely managed on a blockchain. EIGEN tokens are used for identifying intersubjective faults on the EigenLayer platform, performing validation tasks across various Actively Validated Services (AVS), and incentivizing and penalizing operators based on their performance.
Read more on EIGEN →About Recall
Recall is a decentralized skill marketplace where communities fund, rank, and find AI solutions that fit their needs. It provides transparent, verifiable reputation infrastructure for the AI agent economy through economic incentives and performance-based evaluation.
Read more on RECALL →
