CredScore verdict
0xa0d5…250eethereumScore
54
0 = max risk · 100 = clean
Medium riskReviewConfidence:58%
Review before proceeding
CredScore sees a 5.9-year-old wallet with at least 501 transfers. History capped by fetch limit and High inbound value concentration warrant manual review before this case is treated as routine. Observed entity context: Metamask Swaps, USDT Token.
Wallet snapshot
Wallet age
5.9 years
Transfers observed
501
Last activity
2 days ago
Counterparties
75
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.
High inbound value concentration
Single source supplied >99% of inbound ETH value · Distinct inbound counterparties (all assets): 39
A large share of inbound value is concentrated in a few transfers, which can indicate a single large unexplained windfall.
Source return flow detected
Source return count: 5 · Linked recirculating counterparties: 1 · Paired mirroring count: 1 · Repeated amount-band recirculation: 7
Observed sources later reappear as return destinations, which reduces legibility and suggests recirculating flow rather than clean one-direction settlement.
Observed entity context
Labels
Metamask SwapsUSDT TokenUSDC Tokencirclemetamask
Protocols
metamasktethercircleAcross Protocol Spoke Pooluniswap
Offsetting factors
Established history
Wallet age: 5.9y (observed)
Moderately distributed counterparties
Unique counterparties observed: 75
Material attribution coverage
Attributed interaction share: 100% (17% high-confidence)
Analyst briefing
Executive Risk Verdict
This 5.9-year-old address presents moderate counterparty risk. The leading concerns are History capped by fetch limit and High inbound value concentration, which warrant manual review before this case is treated as routine.
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.
High inbound value concentration
Single source supplied >99% of inbound ETH value
Distinct inbound counterparties (all assets): 39
A large share of inbound value is concentrated in a few transfers, which can indicate a single large unexplained windfall.
Source return flow detected
Source return count: 5
Linked recirculating counterparties: 1
Paired mirroring count: 1
Observed sources later reappear as return destinations, which reduces legibility and suggests recirculating flow rather than clean one-direction settlement.
Offsetting Factors
Established history Wallet age: 5.9y (observed)
Moderately distributed counterparties
Unique counterparties observed: 75
Material attribution coverage
Attributed interaction share: 100% (17% high-confidence)
Behavior Distribution
DEX-related interactions: 9% of observed activity. Bridge-related interactions: 1% of observed activity. Router / aggregator interactions: 9% of observed activity. Attributed interactions: 100% of observed activity. High-confidence attributed interactions: 17% 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
Metamask Swaps USDT Token USDC Token circle metamask
Observed Protocol Attribution
metamask tether circle Across Protocol Spoke Pool uniswap
Confidence Statement
Overall assessment confidence is moderate (58%), reflecting partial coverage with usable but still incomplete 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 11, 2026