Loomlay (LAY)

🚨📉 24h rundown of the 10 Base AI agent microcaps (<$10M) with the steepest net outflows via @nansen_ai:

📊 Price Change & Netflows
1️⃣ $LAY (-1.9%) — -$24.8K
2️⃣ $SPEC (-12.1%) — -$22.5K
3️⃣ $FYNI (-22.3%) — -$14.3K
4️⃣ $KARUM (-23.3%) — -$12.7K
5️⃣ $AOT (-3.8%) — -$12.6K
6️⃣ $AXR (-19.7%) — -$11.6K
7️⃣ $ROOM (-27.9%) — -$9.9K
8️⃣ $FAIR (-12.5%) — -$7.8K
9️⃣ $GLORIA (-15.5%) — -$7.4K
🔟 $AGENT (-11.1%) — -$6.9K

📌 Insight: ~$130K pulled from the 10 worst-hit AI agent microcaps — most down >10% on thin volume. $ROOM, $FYNI, and $KARUM led losses, with macro risk-off pressure clearly hitting sector long tail.

🚨📉 Top 10 @base AI microcaps (<$10M) by worst netflows via @nansen_ai (24h):

📊 Price Change & Netflows
1️⃣ $LAY (-1.9%) — -$24.8K
2️⃣ $SPEC (-12.1%) — -$22.5K
3️⃣ $FYNI (-22.3%) — -$14.3K
4️⃣ $KARUM (-23.3%) — -$12.7K
5️⃣ $AOT (-3.8%) — -$12.6K
6️⃣ $AXR (-19.7%) — -$11.6K
7️⃣ $ROOM (-27.9%) — -$9.9K
8️⃣ $FAIR (-12.5%) — -$7.8K
9️⃣ $GLORIA (-15.5%) — -$7.4K
🔟 $AGENT (-11.1%) — -$6.9K

📌 Insight: ~$130K drained from the top 10 worst-hit AI microcaps — most down >10% on thin volume. $ROOM, $FYNI, and $KARUM led the bleed, with macro pressure exposing fragility across the Base long tail.