CredScore verdict
0x96d0…aeffeth-mainnet
Score
91
0 = max risk · 100 = clean
Low riskReviewConfidence:64%
Review before proceeding
CredScore sees a 1.6-year-old wallet with at least 501 transfers. History capped by fetch limit and Bursty activity pattern warrant manual review before this case is treated as routine. Observed entity context: USDT Token, USDC Token.
Wallet snapshot
Wallet age
1.6 years
Transfers observed
501
Native balance
0.0848 ETH
Last activity
today
Counterparties
442
Observed entity context
Labels
USDT TokenUSDC TokenDAI Tokencirclemaker
Protocols
USDT contracttethercirclemakerShiba Inu (SHIB)
Offsetting factors
Established history
Wallet age: 1.6y (observed)
Material attribution coverage
Attributed interaction share: 100% (12% high-confidence)
Recognizable exchange or protocol context
Observed label: USDT Token · Observed label: USDC Token · Observed label: DAI Token
Observed activity context
Signals worth knowing about, but not strong enough to change the low-risk verdict above.
History capped by fetch limit
Transfers observed: At least 501 · History cap: observed count may be a lower bound (cap 500)
Incomplete transfer coverage reduces confidence because observed totals may be lower bounds.
Bursty activity pattern
Average observed activity: 54.6 tx/day
A compressed activity window can indicate non-routine behavior and deserves added caution.
High transfer activity
Transfers observed: At least 501 · History cap: observed count may be a lower bound (cap 500)
Higher activity increases interpretive complexity, but should not be treated as adverse on its own unless paired with suspicious concentration, rapid routing, or sensitive exposure.
Analyst briefing
Executive Risk Verdict
This 1.6-year-old address presents lower relative counterparty risk. The observable behavior is consistent with stable usage and no dominant adverse drivers were detected, though it should still be contextualized with broader exposure intelligence when available.
Decision Posture
Review before proceeding. This case is not an automatic stop, but the current signal mix or confidence level is not strong enough to treat it as routine without human review.
Primary Risk Drivers
History capped by fetch limit Transfers observed: At least 501 History cap: observed count may be a lower bound (cap 500) Incomplete transfer coverage reduces confidence because observed totals may be lower bounds.
Bursty activity pattern
Average observed activity: 54.6 tx/day
A compressed activity window can indicate non-routine behavior and deserves added caution.
High transfer activity
Transfers observed: At least 501
History cap: observed count may be a lower bound (cap 500)
Higher activity increases interpretive complexity, but should not be treated as adverse on its own unless paired with suspicious concentration, rapid routing, or sensitive exposure.
Offsetting Factors
Established history Wallet age: 1.6y (observed)
Material attribution coverage
Attributed interaction share: 100% (12% high-confidence)
Recognizable exchange or protocol context
Observed label: USDT Token
Observed label: USDC Token
Observed label: DAI Token
Structural Pattern Observations
Fan-out distribution (medium confidence) The observed flow pattern is consistent with fan-out distribution behavior, where funds move outward across a broad recipient set in a compressed fashion. This can be consistent with legitimate treasury, payroll, or airdrop-style operations, but it deserves review when visibility is thin, the wallet is very new, or sensitive exposure is also present.
Behavior Distribution
Attributed interactions: 100% of observed activity. High-confidence attributed interactions: 12% of observed activity.
Observed Entity / Protocol Context
USDT Token USDC Token DAI Token circle maker
Observed Protocol Attribution
USDT contract tether circle maker Shiba Inu (SHIB)
Confidence Statement
Overall assessment confidence is moderate (64%), reflecting partial coverage with usable but still incomplete behavioral signal.
Sensitivity notes
Improved transaction coverage could materially change activity-based interpretation and increase confidence.
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Shared Aug 6, 2026