EVM-first wallet risk intelligence

KairoRisk scores wallet risk before crypto moves.

An explainable wallet risk scoring API for crypto payment processors, wallets, on/off-ramp providers and fraud teams. Score EVM wallets, route risky cases to review and run shadow pilots before production blocking.

Plan a shadow pilot View API response
0 strict audited EVM holdout wallets in the evidence pack
0 successful replay API responses in shadow stress testing
100% explanation coverage in the latest replay evaluation
Wallet risk decision API ready
risk_score
84 / 100
decision manual_review_high
risk_level high
scope Ethereum / EVM
  • Graph proximity to known scam entities detected.
  • Registry and model probability signals are included.
  • Trusted-source controls reduce unnecessary clean-wallet holds.
{
  "wallet": "0x...",
  "risk_score": 84,
  "risk_level": "high",
  "decision": "manual_review_high",
  "why": "Graph and registry risk signals require review.",
  "evidence": ["model", "graph", "registry", "policy"]
}
Wallet screening Crypto fraud prevention Payment risk review On/off-ramp risk KYT signal layer Manual review queues Shadow-mode pilots Explainable decisions Wallet screening Crypto fraud prevention Payment risk review On/off-ramp risk KYT signal layer Manual review queues Shadow-mode pilots Explainable decisions

Built for teams that need risk decisions before funds move.

KairoRisk is designed for operational fraud workflows: score a source or destination wallet, explain why it is risky and route the case to allow, monitor, manual review or hold.

Payments

Crypto payment gateways

Pre-screen merchant deposit, payout and settlement wallets before irreversible movement.

Ramp

On/off-ramp providers

Score source or destination wallets before crypto delivery, release or review.

Wallets

Wallet and DeFi apps

Add a counterparty wallet-risk layer before users sign, send or interact.

Compliance

Fraud and KYT teams

Use explainable scores as a second-opinion signal beside existing AML/KYT tools.

Operations

Manual review queues

Prioritize cases with model, registry, graph and policy evidence your analysts can read.

Feedback

Audited learning loop

Client feedback is quarantined and audited before it can influence future offline releases.

One API response for score, action and explanation.

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 stored with the customer case.

Request due diligence pack Review evidence 
POST /v1/score/wallet

{
  "address": "0x...",
  "chain": "eth",
  "depth": 2,
  "tx_limit": 250
}

{
  "risk_score": 84,
  "risk_level": "HIGH",
  "decision": "manual_review_high",
  "risk_source": "live_ml",
  "scoring_version": "v97",
  "risk_scoring_explanation": {
    "what": "Advisory wallet risk score",
    "decision_meaning": "Route to fraud review",
    "why": {
      "primary_reasons": [
        "Model review signal",
        "Graph or registry risk evidence"
      ]
    }
  }
}

Packaged with evaluation, monitoring and careful claims.

Current evidence is EVM-first and should be described as a hybrid risk policy: ML blend plus graph, registry and trusted-source controls.

1.0 ROC-AUC on strict audited EVM holdout
0.001 review false positive rate on strict eval
0 scam allow count in the current strict report
pass post-promotion monitor status and alert level ok

Start with shadow mode, not production blocking.

The safest commercial path is a read-only pilot. A buyer sends historical or live wallet events, KairoRisk scores them, and the team compares results against existing fraud and compliance workflows before changing user-facing behavior.

1

Replay historical wallets

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

2

Compare against current workflow

Measure review lift, false-positive pressure, explanation coverage and decision drift.

3

Move to licensing or acquisition

Convert the pilot into API subscription, enterprise deployment, partnership or full IP transfer.

Buyer questions, answered clearly.

KairoRisk is positioned as advisory wallet risk intelligence. It is not a legal fraud determination and it does not replace a regulated AML program.

What is included in the asset package?

API codebase, scoring runtime, model artifacts, blend configuration, evaluation reports, explainability logic, docs, pricing materials, one-pagers and buyer handoff materials can be included under agreed terms.

Is the product revenue-generating today?

The current package is pre-revenue. It is built and commercially packaged for paid pilots, API licensing, enterprise deployment or acquisition.

Can it support chains outside EVM?

The strongest current evidence is EVM-first. Additional chains can be added through chain-specific feature work, audited data expansion and separate evaluation.

Can customers improve the model with their data?

Yes, but not through unsafe online learning. Feedback enters a quarantine and audit workflow before it can influence future offline training or evaluation cycles.

Available for pilot, licensing or acquisition.

Technical details, model card, due-diligence material and full asset transfer scope can be shared with serious buyers under NDA.

Request access