Positive flows, regulation wins, partnership news
about 16h ago
Mid Total Attention
6
Sources
#53
Rank
Associated tokens
— Narrative —
The allegations highlight potential systemic vulnerabilities in crypto security, raising concerns about transparency and trust in digital asset management. T...
This article was assembled by Crypto Attention’s NLP pipeline aggregating 6 source articles. Attention score and sentiment are recalculated every 30 seconds. This is not financial advice.
— Sentiment Overview —
How this story’s coverage breaks down — positive, neutral, or negative
Positive flows, regulation wins, partnership news
Disclosures, scheduled launches, factual updates
Hacks, enforcement, lawsuits, major outflows
— Sources —
6 sources total · showing 25
| Source | Title | Total Attention | Sentiment | Rank | Spotted |
|---|---|---|---|---|---|
| protos.com | Ari Paul says Coinbase lost his $25M, covered up $1B in hacks | 4.6K | Negative | #4 | about 8h ago |
| bitcoinsistemi.com | Shocking Hack Allegations Against Coinbase: 12 Companies and $1 Billion! Here Are the Details | 1.8K | Negative | #6 | about 10h ago |
| thecoinrise.com | Coinbase Concealed $25M Loss of BlockTower Funds, Ari Paul Alleges | 3.4K | Negative | #5 | about 13h ago |
| cryptonomist.ch | Coinbase security issues resurface as BlockTower claims $25M hack loss | 5.5K | Negative | #3 | about 13h ago |
| cryptobriefing.com | Ari Paul alleges Coinbase lost $25M of BlockTower funds in a security cover-up | 32.3K | Negative | #2 | about 16h ago |
| lookonchain.com | Coinbase被指掩盖超10亿美元黑客攻击损失，至少十几家机构受影响 | 32.6K | Negative | #1 | about 18h ago |
— About Cluster —
When a big event hits, it doesn’t break in one article. It spreads across hundreds of sources at once: news sites, Twitter threads, YouTube commentary, Reddit discussions. A cluster brings all of that together into a single view, so you see the full picture of how a story is actually moving through the market.
Each cluster tracks attention over time, measures sentiment across every source covering it, and surfaces the tokens and keywords most closely tied to the narrative. The result is less noise, more signal: one page that tells you everything the market is saying about one story, right now.
And stories don’t exist in isolation. How much attention a cluster captures feeds directly into the ratings across the whole platform. Explore how it all connects below.
01
Thousands of crypto topics break every day. Crypto Attention tracks which ones are actually gaining ground: source reach, how fast a story spreads, how fresh it is. The result is a real-time attention score for every headline, so you see what the market is reading before it shows up in the price.
No more guessing which topic is signal and which is just noise.
See it in action →02
Every crypto asset gets a grade from AAA down to D, based on how it performs as part of a real investment portfolio. The model runs automatically every hour across 1,000+ assets, no human bias, no gut calls. Just a clear signal on which assets hold up and which don’t.
No more picking assets based on vibes, Reddit threads, or someone’s hot take.
See it in action →