Adversea records 0 monthly visits with 0% month-over-month growth and Paid pricing. Quantifind records 15,226 monthly visits with +8.1% growth and Contact for Pricing pricing.
API-first PEP, sanctions and adverse media screening with AI
AI risk intelligence platform for financial crime and national security screening
| Dimension / Metric | | |
|---|---|---|
| Official Domain | adversea.com | quantifind.com |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 0 (0) | 15.23K (15,226) |
| MoM Traffic Delta | 0 (0%) | +1.15K (+8.1%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (100%) |
| Direct Visits / mo | 0 | 5.52K |
| User Rating | 4.1 | 4.4 |
| Supported Platforms | Website | Website |
API-first PEP, sanctions and adverse media screening with AI
Verify a target against sanctions lists and politically exposed person datasets through the /screening/pepSanctions endpoint, returning structured JSON with dataset hits.
The /screening/topic-report endpoint compiles a person's public footprint into a structured verification report organised by topic, with sources attached.
The /screening/unit-analysis endpoints analyse search-engine results about a name and return findings either as free text or as atomic claims, each scored for adverse activity.
Every result can be traced back to the public sources it was drawn from, so analysts can review the evidence rather than trust a black box.
AI risk intelligence platform for financial crime and national security screening
A single environment spanning KYC, sanctions, transaction intelligence and investigations, so risk teams work from consistent data and scoring logic.
Automated periodic reviews that detect meaningful changes in a customer's risk profile and route only the genuinely changed cases to analysts.
Intelligent name matching that surfaces hidden ownership, relationships and sanctions exposure that traditional list screening can miss.
AML controls designed for modern payment flows, uncovering hidden risk across counterparties, networks and transaction paths.
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