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

955K

wallets behind the stablecoin card economy — classified by how they actually spend. The punchline: just 3% of wallets move 74% of the money.

Card volume · 30d 16.5% wk/wk
$1.04B
12 weeks agonow
955K
Wallets tracked
all rails, all-time
3%
Move the money
of wallets → 74% of volume
48%
Biggest crowd
Occasional / just trying it
$120
Avg swipe
blended, 30 days
$1.04B
Volume · 30d
8.7M swipes
3
Named wallets
tagged by the community

Intelligence

Who actually uses stablecoin cards.

01

Just 3% of wallets — the whales and businesses — move 74% of all card money.

02

Occasional / just trying it are the largest crowd at 48% of every wallet tracked.

03

Whales move the most money — $672.3M, 65% of 30-day volume.

04

A whale's average swipe is 38× the size of an everyday coffee-buyer's.

05

955K 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
97K wallets · 36%

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

$16
avg swipe
$78.1M
8% of volume
🛍️
Regular shoppers
35K wallets · 13%

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

$125
avg swipe
$116.0M
11% of volume
💸
Remittance & transfers
4K wallets · 1%

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

$949
avg swipe
$56.3M
5% of volume
🐋
Whales
1K wallets · 0.5%

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

$606
avg swipe
$672.3M
65% of volume
🏢
Businesses & power users
4K wallets · 2%

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

$65
avg swipe
$91.1M
9% of volume
🌱
Occasional / just trying it
130K wallets · 48%

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

$98
avg swipe
$24.7M
2% 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

792K
wallets
  • ☕ Everyday spenders35.0%
  • 🛍️ Regular shoppers4.4%
  • 💸 Remittance & transfers0.5%
  • 🐋 Whales0.7%
  • 🏢 Businesses & power users1.9%
  • 🌱 Occasional / just trying it57.5%
openrate.live

By money · share of 30d volume

$1.0B
volume
  • ☕ Everyday spenders7.5%
  • 🛍️ Regular shoppers11.2%
  • 💸 Remittance & transfers5.4%
  • 🐋 Whales64.7%
  • 🏢 Businesses & power users8.8%
  • 🌱 Occasional / just trying it2.4%
openrate.live

The punchline: just 3% of wallets — the whales and businesses — move 74% of all the money. Everyone else is mostly buying coffee.

Leaderboard · 30d

Who moves the money.

Personas · by money moved
1🐋 Whales
$672.3M65%
2🛍️ Regular shoppers
$116.0M11%
3🏢 Businesses & power users
$91.1M9%
4 Everyday spenders
$78.1M8%
5💸 Remittance & transfers
$56.3M5%
6🌱 Occasional / just trying it
$24.7M2%

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.

955K wallets classified by real behaviour — and anyone can help name them.