EVM wallet risk scoring

Score wallet risk before crypto moves

KairoRisk gives payment processors, wallets, on/off-ramp providers and fraud teams an explainable risk score before a transaction becomes an operational problem.

Check wallet Review evidence
0.99+ validation-grade ROC/AP evidence <400ms API path target EVM-first Ethereum-family workflows
Wallet scoring Payment risk review On/off-ramp risk Fraud operations Shadow pilot Reason codes Wallet scoring Payment risk review On/off-ramp risk Fraud operations Shadow pilot Reason codes
How it works

A compact signal for product and risk teams

KairoRisk is designed to fit into checkout, withdrawal review, wallet onboarding and case-management flows without forcing a team to rebuild its fraud stack.

Submit a wallet

Send an EVM address and optional transaction context through a simple API request.

Score the risk

The model blends wallet behavior, graph context, known-risk intelligence and policy rules.

Route the case

Return allow, review or block-style guidance with reason codes analysts can audit.

Live demo widget

Turn a wallet address into a review-ready decision

The sample below mirrors the operational output a crypto team can route into payout, ramp, onboarding or wallet-protection workflows.

0-35 Allow

Low-risk wallets continue while the event remains logged.

36-70 Review

Ambiguous wallets enter analyst review or enhanced checks.

71-100 Hold / block

High-risk wallets can be held, blocked or escalated by policy.

62
Medium risk

Manual review recommended

The wallet has mixed behavior and graph proximity that should be reviewed before value moves.

DECISION manual_review
CONFIDENCE 0.78
LATENCY TARGET <400ms
graph_proximity activity_anomaly review_band 
{
  "wallet": "0x8f3a...91c2",
  "risk_score": 62,
  "risk_level": "MEDIUM",
  "decision": "manual_review",
  "confidence": 0.78,
  "reason_codes": [
    "graph_proximity",
    "activity_anomaly",
    "review_band"
  ],
  "output": "advisory_risk_decision"
}
Where it fits

Built for teams that need risk decisions before funds move

KairoRisk is not a marketing dashboard. It is a decision layer for teams that need to screen a source or destination wallet, explain why it is risky and route the result into a real workflow.

Payments

Payment risk review

Score payout or deposit wallets before money moves, then route edge cases to review.

Ramp

On/off-ramp decisions

Add a risk signal before onboarding, cashout or high-value crypto transfer flows.

Wallets

Wallet safety layer

Warn, review or hold risky wallet interactions before users sign or send.

Compliance

Case enrichment

Give analysts score, reason codes, graph context and policy output in one response.

Operations

Queue prioritization

Separate low-risk activity from wallets that deserve enhanced review.

Feedback

Quarantined learning

Store customer outcomes for audited offline releases instead of unsafe online learning.

API response

A small payload that can drive a real product decision

The API is built for product and risk teams that need a compact response: risk score, decision, reason text and evidence fields that can be logged with a customer case.

Request due diligence pack Review evidence 
POST /v1/score/wallet
{
  "chain": "ethereum",
  "wallet": "0x8f3a...91c2",
  "policy": "review_first"
}

200 OK
{
  "risk_score": 84,
  "risk_level": "HIGH",
  "decision": "hold_or_review",
  "confidence": 0.91,
  "reason_codes": [
    "scam_graph_proximity",
    "transaction_anomaly",
    "registry_risk_signal"
  ],
  "risk_scoring_explanation": {
    "what": "Advisory wallet risk score",
    "why": "Wallet activity and graph context match high-risk review patterns"
  }
}
Trust indicators

Built for serious pilots, not vanity dashboards

The product is intentionally positioned as advisory risk intelligence: auditable, explainable and safe to validate in shadow mode before production blocking.

Supported chains

EVM-first coverage

Ethereum BNB Chain Polygon Arbitrum Optimism Base

Ethereum-family networks are the current product focus. New chains should be validated through shadow scoring and client-specific feedback before hard blocking.

EVIDENCE 0.99+

Validation-grade ROC/AP evidence is presented as ranges to avoid overclaiming perfect live performance.

POLICY Allow / review / block

Decision bands are tuned per client appetite, with review-first rollout recommended for pilots.

LEARNING Quarantined feedback

Customer outcomes are stored for review and offline release work, not unsafe online learning.

AUDIT Reason codes

Responses include score, decision, risk level and explanation fields for analyst workflows.

Shadow rollout

Validate against real traffic before blocking anything

The recommended rollout is deliberately conservative: run shadow scoring, compare against existing customer outcomes, tune thresholds and only then move the safest action bands into production routing.

Replay baseline

Batch score known clean, risky and reviewed wallets to establish baseline value.

Shadow traffic

Score live events without customer-facing blocking while decisions are logged.

Policy decision

Promote allow/review/block thresholds only after measured false-positive review.

Pilot output

What a buyer gets from the first serious evaluation.

  • Shadow scoring exportWallet-level risk score, decision, reason codes and evidence source.
  • Threshold recommendationSuggested allow/review/block bands based on customer risk tolerance.
  • Feedback loop planHow reviewed customer outcomes enter quarantine and future offline releases.
Technical diligence

Model and system characteristics buyers can verify

KairoRisk is packaged for technical review: not just a score, but the validation discipline, policy layer, API behavior and monitoring path needed before a buyer routes real money through it.

VALIDATION

Clean evaluation discipline

Source-disjoint and temporal holdout checks, blind evaluation sets, hard-negative clean cohorts and leakage controls before a release is considered production-ready.

ROBUSTNESS

Stress and slice testing

Weekly stability, source slices, missing-feature resilience, adversarial wallet patterns, drift simulation and out-of-domain review for safer real-world rollout.

DECISIONING

Calibrated policy layer

Risk score, confidence, risk level, reason codes and allow/review/block-style bands are separated so a client can tune policy without retraining the model.

OPERATIONS

API and monitoring readiness

Smoke-tested API path, shadow logging, replay runs, health checks, audit-friendly outputs and rollback-oriented deployment notes for pilot integration.

Feature schema Model card Evaluation reports Calibration notes API contract Shadow logs Feedback quarantine Rollout playbook
Due diligence

Clear boundaries for serious buyers

What can be included under agreed terms?

API codebase, scoring runtime, model artifacts, blend configuration, evaluation reports, explainability logic, docs, one-pagers and buyer handoff materials.

Does KairoRisk replace AML or legal compliance?

No. KairoRisk is advisory wallet risk intelligence and decision support. It is not a legal determination of fraud and should be validated inside the buyer's own compliance process.

Can customer feedback improve the model?

Yes, but through a quarantined workflow. Customer outcomes should be reviewed and audited before they are considered for future offline releases.

Request access

Run KairoRisk in shadow before production decisions

Share the intended workflow and timeline. The usual next step is a fit check, then a shadow pilot scope or due-diligence pack for serious requests.

Advisory risk intelligence No legal determination of fraud No private keys or customer secrets