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Card users · wallet intelligence · 30-day on-chain

1.1M

wallets behind the stablecoin card economy — classified by how they actually spend. The punchline: just 3% of wallets move 80% of the money.

Card volume · 30d▲ 0.7% wk/wk
$1.88B
12 weeks agonow
1.1M
Wallets tracked
all rails, all-time
3%
Move the money
of wallets → 80% of volume
46%
Biggest crowd
Occasional / just trying it
$116
Avg swipe
blended, 30 days
$1.88B
Volume · 30d
16.2M swipes
3
Named wallets
tagged by the community

Intelligence

Who actually uses stablecoin cards.

01

Just 3% of wallets — the whales and businesses — move 80% of all card money.

02

Occasional / just trying it are the largest crowd at 46% of every wallet tracked.

03

Whales move the most money — $1.37B, 73% of 30-day volume.

04

A whale's average swipe is 17× the size of an everyday coffee-buyer's.

05

1.1M wallets tracked across 23 cards · 3 named & tagged.

Personas

The six kinds of card user.

Behaviour patterns inferred from 30 days of on-chain settlement — not identities.

☕
Everyday spenders
128K wallets · 37%

Coffee, food, small daily buys under ~$50. The quiet majority of crypto-card users.

$16
avg swipe
$110.8M
6% of volume
🛍️
Regular shoppers
43K wallets · 12%

$50–$800 a swipe — groceries, bills, online orders. Normal retail spending.

$125
avg swipe
$152.6M
8% of volume
💸
Remittance & transfers
5K wallets · 2%

Recurring mid-to-large sends — the pattern looks like cross-border money movement.

$945
avg swipe
$79.2M
4% of volume
🐋
Whales
2K wallets · 0.7%

$5k+ average tickets — high rollers and big-ticket purchases.

$269
avg swipe
$1.37B
73% of volume
🏢
Businesses & power users
7K wallets · 2%

Spending almost every day — operations, payouts, or treasury running through a card.

$60
avg swipe
$145.8M
8% of volume
🌱
Occasional / just trying it
158K wallets · 46%

One or two swipes in a month — testing the card or rare, one-off use.

$91
avg swipe
$27.9M
1% of volume

The split

Whales vs coffee-buyers.

By headcount and by money — the same population, two very different pictures.

Who they are vs. where the money goes

Left: share of all wallets we track, by user type (incl. custodial cards). Right: the EVM spend personas by 30-day money.

By users · share of wallets

959K
wallets
  • ☕ Everyday spenders34.8%
  • 🛍️ Regular shoppers4.5%
  • 💸 Remittance & transfers0.5%
  • 🐋 Whales0.7%
  • 🏢 Businesses & power users2.0%
  • 🌱 Occasional / just trying it57.4%
openrate.live

By money · share of 30d volume

$1.9B
volume
  • ☕ Everyday spenders5.9%
  • 🛍️ Regular shoppers8.1%
  • 💸 Remittance & transfers4.2%
  • 🐋 Whales72.6%
  • 🏢 Businesses & power users7.7%
  • 🌱 Occasional / just trying it1.5%
openrate.live

The punchline: just 3% of wallets — the whales and businesses — move 80% of all the money. Everyone else is mostly buying coffee.

Leaderboard · 30d

Who moves the money.

Lookup

Find the users behind any card.

Explore

The named wallets behind the volume.

Top wallets by 30-day volume in each pattern — click any one to see its real transaction history.

☕

Everyday spenders

top 240 by volume

Coffee, food, small daily buys under ~$50. The quiet majority of crypto-card users.

🛍️

Regular shoppers

top 240 by volume

$50–$800 a swipe — groceries, bills, online orders. Normal retail spending.

💸

Remittance & transfers

top 240 by volume

Recurring mid-to-large sends — the pattern looks like cross-border money movement.

🐋

Whales

top 240 by volume

$5k+ average tickets — high rollers and big-ticket purchases.

🏢

Businesses & power users

top 240 by volume

Spending almost every day — operations, payouts, or treasury running through a card.

🌱

Occasional / just trying it

top 240 by volume

One or two swipes in a month — testing the card or rare, one-off use.

OpenRate Users

Every wallet has a pattern. We read it.

1.1M wallets classified by real behaviour — and anyone can help name them.