CredScore verdict
Compared to last analysis
Jul 25, 2026
Score
-1
riskier
0x96d0…aeffethereum
Score
74
0 = max risk · 100 = clean
Low riskReviewConfidence:38%
Review before proceeding
CredScore sees a 1.5-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
1.5 years
Transfers observed
501
Last activity
today
Counterparties
473
Observed entity context
Labels
USDT TokenUSDC Tokencircletether
Protocols
USDT contracttethercircle
Offsetting factors
Established history
Wallet age: 1.5y (observed)
Recognizable exchange or protocol context
Observed label: USDT Token · Observed label: USDC Token · Observed label: circle
Recognizable protocol attribution
Observed protocol: USDT contract · Observed protocol: tether · Observed protocol: circle
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: 197.6 tx/day
A compressed activity window can indicate non-routine behavior and deserves added caution.
Analyst briefing
Executive Risk Verdict
This 1.5-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. One or more review-sensitive structural patterns were detected (Fan-out distribution), which elevates the review requirement beyond what the base risk tier alone would indicate. Human context is needed to interpret these findings correctly.
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: 197.6 tx/day
A compressed activity window can indicate non-routine behavior and deserves added caution.
Offsetting Factors
Established history Wallet age: 1.5y (observed)
Recognizable exchange or protocol context
Observed label: USDT Token
Observed label: USDC Token
Observed label: circle
Recognizable protocol attribution
Observed protocol: USDT contract
Observed protocol: tether
Observed protocol: circle
Structural Pattern Observations
Fan-out distribution (medium confidence) The observed flow pattern is consistent with fan-out distribution behavior and also carries additional review pressure from thin visibility, limited history, or sensitive exposure. This is not a misconduct finding, but it is not a routine pattern under current coverage.
Behavior Distribution
Attributed interactions: 100% of observed activity, but only 6% resolved with high confidence, the remainder are unlabeled contract interactions, which is opacity rather than meaningful attribution coverage. High-confidence attributed interactions: 6% of observed activity.
Observed Entity / Protocol Context
USDT Token USDC Token circle tether
Observed Protocol Attribution
USDT contract tether circle
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.
Off-chain context would be particularly valuable here, the detected structural patterns raise interpretive ambiguity that on-chain data alone cannot resolve.
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Shared Jul 29, 2026