ScamLens
銀行・決済向け

銀行が詐欺決済経路を早期発見できるよう支援

Enrich stop-payment, dispute, merchant-review, and anti-fraud outreach workflows with fast context on suspicious websites, phone numbers, chats, and wallets.

営業に問い合わせ APIドキュメントを見る

クイックアンサー

Quick answer: banks do not just need more rules. They need faster visibility into whether funds are moving into scam infrastructure. ScamLens is built to add that cross-object risk context.

Speed up stop-payment and dispute triage
Flag risky merchant websites and impersonation during onboarding
Give fraud teams clearer evidence chains and next-step actions

チームがScamLensを使う方法

These are the three most common points where teams plug ScamLens into their existing operations for immediate impact.

1

When a customer reports fraud

Quickly check the websites, phone numbers, wallet addresses, and chat screenshots the customer mentions to assess the situation.

2

Reviewing merchants and payment pages

Verify payment pages, check for brand impersonation, and review domain history before onboarding or approving partnerships.

3

Flagging risky payments

Automatically connect suspicious payments to known scam infrastructure instead of relying on manual research alone.

この業界のチームがScamLensを選ぶ理由

All evidence in one place

Combine phone, website, email, chat, and wallet evidence into a single fraud review instead of checking each separately.

Built for support and fraud teams

Works for front-line support staff doing quick checks and specialist teams doing deeper investigations.

Easy to share with partners

Export structured findings to share with law enforcement, legal counsel, or payment partners.

これで実現できること

Works for stop-payments, disputes, merchant onboarding, and anti-fraud outreach
Cuts repeated evidence gathering in support operations
Helps identify not only confirmed victims but users who are about to be scammed

次のステップ

Now that you have seen how it fits your workflow, book a demo or explore the API docs — we will tailor the setup to your needs.

よくある質問

Is this useful for first-line support teams?
Yes. Support teams can get a quick risk read first, then escalate complex cases to fraud specialists.
Is this only for crypto-related banking use cases?
No. It also fits APP scams, impersonation, fake support, investment fraud, and merchant-domain risk.
Are the outputs technical or operational?
Both. You get actionable verdicts for business users and enough source context for specialist review.

始める準備はできていますか？

Book a demo to see how ScamLens fits into your existing operations, or request API access to start a technical evaluation.

デモを予約 APIアクセスをリクエスト