XRPL native transaction tracing
We follow XRP token and IOU flows natively on the XRPL, reconstructing layering paths through Offers, Payments and AccountSet operations up to 12 hops deep using our XRPL-specific graph engine.
Screen any Ripple wallet in real time against OFAC sanctions, global watchlists, darknet markets and fraud databases across the XRP Ledger. Results delivered in under 200ms.
Paste any XRPL wallet address below. Our engine cross-references 30+ sanctions lists, darknet databases and the full XRP transaction graph.
Every feature is engineered around the unique architecture and risk profile of the XRP Ledger and Ripple network.
We follow XRP token and IOU flows natively on the XRPL, reconstructing layering paths through Offers, Payments and AccountSet operations up to 12 hops deep using our XRPL-specific graph engine.
Identify XRP funds that crossed to Ethereum or BNB Chain via the XRPL EVM sidechain or Wanchain bridges — a growing layering technique that generic AML tools fail to catch entirely.
The XRPL has a built-in decentralized exchange. We monitor Order Book and AMM liquidity pool flows to detect structured wash trading, obfuscation via IOUs, and illicit fund mixing through DEX pairs.
We sync OFAC SDN, EU, UN, UK OFSI, AUSTRAC and 27 additional national sanctions lists in real time — the most comprehensive XRP-native sanctions coverage available on the market today.
Track XRP flowing through Ripple's On-Demand Liquidity (ODL) payment corridors. Identify misuse of ODL flows for sanctions evasion — critical for regulated financial institutions using RippleNet.
Enterprise plans auto-generate pre-filled Suspicious Activity Reports formatted for FinCEN, AUSTRAC, FCA and EU AMLD6 submissions — cutting compliance workload by up to 80%.
Three steps from XRP address to a compliance-grade risk report.
Paste any XRPL wallet address starting with "r" — or use the XRP DEX, AMM, or cross-chain bridge filter to narrow the context of your screening request.
Our engine cross-references 210M+ labeled XRPL addresses, OFAC SDN, darknet markets, ransomware wallets, exchange intelligence and Ripple ODL corridor data in real time.
Receive a 0–100 risk score with category breakdown, flagged transaction hops and a downloadable PDF compliance report ready for regulatory submission.
Our 0–100 scoring system follows FATF risk-based approach guidelines, calibrated on real XRP enforcement cases and Ripple compliance data.
No direct or indirect exposure to sanctioned addresses, darknet markets, mixers or known fraud wallets detected within a 10-hop XRPL radius.
Indirect exposure detected through XRPL DEX obfuscation, unhosted wallets or grey-market corridors. No direct OFAC match, but warrants enhanced due diligence.
Direct exposure to OFAC-sanctioned addresses, confirmed darknet market wallets, ransomware addresses or structured layering patterns on the XRP Ledger.
"AML Ripple is the only tool purpose-built for XRPL compliance. We intercepted a $1.8M OFAC-linked XRP transfer before it cleared our custodial wallet. The ODL corridor tracking is unmatched."
"The API integration took less than 30 minutes. We now screen every XRP withdrawal automatically. The XRPL DEX flow analysis caught wash trading patterns we never saw with our previous tool."
"As a licensed VASP under EU MiCA, XRP compliance is critical for us. AML Ripple generates audit-ready PDF reports our regulators accept without pushback. Finally a true XRPL-native solution."
Start free. Scale as your XRP compliance needs grow. All plans include XRPL-native screening and real-time OFAC coverage.
Our REST API lets you embed real-time XRP AML screening directly into your exchange, DeFi frontend, custody platform or compliance dashboard — with full XRPL support.
curl -X POST https://api.aml-ripple.org/v1/screen \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"address": "rPT1Sjq2Y...",
"chain": "XRPL",
"depth": 10
}'
// Response
{
"risk_score": 8,
"risk_level": "low",
"ofac_match": false,
"sanctions_match": false,
"exposure_pct": 0.0,
"response_ms": 118
}