🤖 AI Agent Friendly: This page is available in clean token-optimized Markdown.
View as .md

$RLUSD

Trending Up

Snapshot Window: 2026-07-24 09:40 UTC · ← Back to Crypto Overview

Tracked Posts
2
Total Impressions
1.4K
Total Likes
14
Retweets & Quotes
5
Comments
8

Social Momentum Summary

Total Engagement - Comments: 8, Retweets: 5, Likes: 14, Impressions: 1366

Verbatim Community Citations & Social Evidence 2 source posts analyzed

@crypto_banter

RIPPLE LAUNCHES “RIPPLE MINT” FOR INSTITUTIONAL RLUSD ACCESS! The new platform lets institutions mint, redeem, bridge, and manage Ripple USD through both a web interface and full programmatic APIs with real-time webhooks. Built for direct source access, end-to-end transaction

None
@stacy_muur

Didn’t expect Trace to cross 100M receipts so quickly after my last post. Trace (the public data auditing tool for @datafdn ) has now passed 111M receipts in under a month, with 177TB of AI training data audited across 173K contributors. And all of it comes from apps auditing

The image shows a leaderboard ranking blockchain networks by fees, with **Data Network (rank 20)** highlighted in a red box, displaying fees of $4,832 (24h), $28,304 (7d), and $57,226 (30d), positioned between Starknet and ICP. This relates to the post about Trace's rapid milestone of 111M receipts and 177TB of AI training data audited, as the highlighted Data Network ranking reflects its growing fee activity—likely driven by the auditing receipts generated through Trace and apps on the Data Foundation ecosystem.

AI visual note: The image shows a leaderboard ranking blockchain networks by fees, with **Data Network (rank 20)** highlighted in a red box, displaying fees of $4,832 (24h), $28,304 (7d), and $57,226 (30d), positioned between Starknet and ICP. This relates to the post about Trace's rapid milestone of 111M receipts and 177TB of AI training data audited, as the highlighted Data Network ranking reflects its growing fee activity—likely driven by the auditing receipts generated through Trace and apps on the Data Foundation ecosystem.

Contributing Voices for $RLUSD

@clusterwire @crypto_banter