Solution · Compliance & analytics firms
Auditable risk signals for compliance teams.
Risk history shows how a wallet's profile evolved over time, with timestamped transitions between clean, warning, and flagged states. Evaluation frequency adapts automatically based on wallet age.
The problem
Where teams get stuck.
Black-box risk scores
Most risk vendors give you a number with no explanation. When a regulator asks how you flagged a wallet, you need the evidence — not a confidence interval.
Static risk profiles
A wallet flagged six months ago may be clean today. Or vice versa. Point-in-time scores miss the trajectory.
Manual evidence collection
Gathering the transactions, metrics, and patterns that support a risk flag is a multi-hour manual process for each case.
The approach
How Web3TrustX fits.
Gauge evaluates every active wallet through five independent fraud detectors. Wash trading analysis examines matched volume ratios, temporal clustering, and counterparty overlap. Sandwich bot detection identifies profit extraction patterns. Zero-loss anomaly flags wallets with statistically improbable win streaks.
Each detector produces specific metrics, thresholds, and observed patterns. When a wallet is flagged, the evidence is immediately available: the numbers, the transactions, and the logic. Risk history tracks state transitions over time with full timestamps.
Capabilities
What you get.
Five fraud detectors
Wash trading, sandwich bots, zero-loss anomaly, extreme frequency, and single-token dominance. Each module independently evaluated.
Auditable evidence per flag
Every flag includes exact metrics, thresholds crossed, and transaction patterns observed. Reconstruct the decision from raw data.
Timestamped risk history
Full history of state transitions: clean → warning → flagged. See when and why each transition occurred, with supporting data.
Adaptive evaluation frequency
New wallets evaluated more frequently. Established wallets evaluated on a cadence matching their activity level. No wasted compute, no missed changes.
Workflow
How it flows.
Illustrative — not a deployment diagram.
- 1
Solana state
Verified swaps
- 2
Gauge
Five fraud detectors
- 3
Evidence pack
Metrics + transactions
- 4
Your case file
Auditable output
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Products behind this solution.
Gauge
In developmentPlatform-wide risk evaluation engine — analyzes wallet and token behavior through modular fraud detectors with auditable evidence for every decision.
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Nexus
Live betaThe core data engine — ingests, normalizes, and serves swap data from multiple Solana DEX in real time. Deterministic parsing verified against the blockchain.
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Signal
Live betaWallet intelligence platform — tracks trading performance, classifies behavior, detects manipulation, and delivers real-time alerts.
View product
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