CredScore verdict
0x9642…5d4eethereum
Score
76
0 = max risk · 100 = clean
Low riskReviewConfidence:38%
Review before proceeding
CredScore sees a 2.0-year-old wallet with at least 501 transfers. History capped by fetch limit and Balance unavailable warrant manual review before this case is treated as routine. Observed entity context: USDT Token, USDC Token.
Wallet snapshot
Wallet age
2.0 years
Transfers observed
501
Last activity
today
Counterparties
331
Observed entity context
Labels
USDT TokenUSDC Tokentransfercircletether
Protocols
tethercircleUSDT contractLINK token contractUSDC contract
Offsetting factors
Established history
Wallet age: 2.0y (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: transfer
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.
Balance unavailable
Native balance: Unknown
Missing core metrics reduce confidence and increase the chance of misclassification.
Bursty activity pattern
Average observed activity: 1414.0 tx/day
A compressed activity window can indicate non-routine behavior and deserves added caution.
Analyst briefing
Executive Risk Verdict
This 2.0-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.
Balance unavailable
Native balance: Unknown
Missing core metrics reduce confidence and increase the chance of misclassification.
Bursty activity pattern
Average observed activity: 1414.0 tx/day
A compressed activity window can indicate non-routine behavior and deserves added caution.
Offsetting Factors
Established history Wallet age: 2.0y (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: transfer
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
DEX-related interactions: 0% of observed activity. Bridge-related interactions: 0% of observed activity. Attributed interactions: 100% of observed activity. High-confidence attributed interactions: 12% of observed activity.
Normalization Context
Observed bridge activity is being treated primarily as cross-chain operational context, not as a standalone adverse signal.
DEX and router usage further support a normal DeFi execution interpretation unless paired with sensitive exposure or suspicious concentration.
Observed Entity / Protocol Context
USDT Token USDC Token transfer circle tether
Observed Protocol Attribution
tether circle USDT contract LINK token contract USDC contract
Confidence Statement
Overall assessment confidence is low (38%), constrained by limited coverage, short history, or sparse behavioral signal.
Sensitivity notes
Improved transaction coverage could materially change activity-based interpretation and increase confidence.
Improved data coverage for missing core metrics would likely improve confidence and may affect the trust score.
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Shared Jul 12, 2026