AML & KYC news data
Your screening is only as sharp as the data feeding it. When a customer or counterparty turns up in a sanctions notice, a regulatory action, or a local investigative report, your team needs to know straight away, not at the next review.
Opoint delivers the news data that powers AML and KYC screening: articles from 250,000 sources across 135 languages, structured and deduplicated, reaching your systems in under 7 minutes from publication.
What data sources are needed for AML screening?
Effective AML screening draws on four data types: sanctions lists, watchlists, politically exposed person data, and adverse media. You’ll get the first three as structured lists from a dedicated screening or data provider.
Adverse media is the hard one, because the news that matters often breaks first in a local language, in a regional source your screening doesn’t reach.
That’s the layer Opoint supplies. We don’t sell sanctions or PEP lists. We give you the global news and adverse media coverage that sits alongside them, including the reporting on sanctions actions and politically exposed people that those lists don’t capture until later.
Opoint supply the adverse media layer, the global news data that completes screening. Financial crime rarely breaks in English first. A counterparty named in a Portuguese investigative report, a regulatory action filed in Mandarin, a fraud case surfacing in regional trade press: these are the signals an English-only feed misses, and the ones a regulator later asks why you missed.
Opoint monitors 250,000 sources across 135 languages and 230 jurisdictions, including the non-English regional press and niche publications that standard feeds overlook. Every article arrives structured, with entity tags, LEI and FIGI identifiers, and IPTC classification, and is deduplicated before it reaches your queue. Your screening tools ingest a clean signal. Your case management system receives an audit-ready record.
How Opoint powers AML/KYC screening
Opoint is the news data layer, not the screening interface.
If you run a screening platform, our feed widens what it can see. If you’re building your own workflow, you can integrate our data directly through the API. Either way, the job we do is coverage, and coverage is where most screening programmes quietly fall short.
Quantifind’s Graphyte platform serves tier-1 and tier-2 banks, fintechs, and government agencies that run AML, KYC, sanctions, and investigative workflows. With Opoint’s multilingual news feed as its external signal layer, their risk teams surface adverse media at first mention, across local and regional sources that standard feeds miss.
What good AML data gives your team
Speed that matches the risk
Under 7 minutes average from publication to delivery, against batch feeds that can leave a story sitting for an hour.
Sanctions-related news
Your sanctions lists tell you who’s designated. Opoint tells you what’s happening, the regulatory actions, investigations, and enforcement reported in local-language press, often before they reach a formal list. News coverage that complements your sanctions screening doesn’t replace the list.
PEP-related news
Your PEP list tells you who’s exposed. Opoint surfaces the news about them, the local-language reporting on politically connected individuals that signals emerging risk, across 135 languages. Monitoring that complements your PEP screening.
Adverse media screening
Catch negative news about customers and counterparties at first mention, in 135 languages.
When is AML screening required?
AML screening is expected as part of a risk-based approach to customer due diligence and is effectively required for higher-risk customers. The FATF, FinCEN’s CDD Rule, the EU Anti-Money Laundering Directives, the UK’s FCA, and the Wolfsberg Group all point to screening against sanctions, PEP, and adverse media data as part of meeting that obligation.
The detail varies by jurisdiction, but the direction is consistent.
The FATF’s 40 Recommendations set the global baseline for a risk-based approach, customer due diligence, and PEP checks.
FinCEN’s Customer Due Diligence Rule sets the US framework. The EU’s Anti-Money Laundering Directives govern screening across member states, with a newer AML package tightening requirements further.
None of them hand you a fixed list of names to check. You decide, based on risk, and you’re expected to get it right. That makes the reach and speed of your news data a compliance question, not just a technical one.
Sources
+250,000
Articles found daily
+3,500,000
Languages
135
Jurisdictions
230
Frequently Asked Questions
Does Opoint provide AML screening, or the data behind it?
Opoint provides the news data that AML and KYC screening runs on, not the screening interface. We deliver structured, real-time, multilingual coverage via an API. You feed it into your own workflow, or use it to broaden the coverage of a screening platform you already run, as Quantifind does.
How does Opoint help reduce false positives?
Opoint clusters duplicate coverage of one event into a single record with a source count, and delivers data tagged with entity and topic metadata. Your analysts review distinct developments linked to the right names, rather than working through repeated copies of the same syndicated story.
Can Opoint integrate with our existing AML and KYC systems?
Yes. Opoint delivers data via a flexible API in structured JSON, including entity tags and LEI, FIGI, and IPTC identifiers, so it fits existing screening and case-management systems. Articles arrive deduplicated and audit-ready, so your tools receive a clean signal rather than raw noise.
How fast does Opoint deliver?
Opoint indexes and delivers articles in under 7 minutes on average from first publication, compared with batch tools that can leave a story sitting for up to an hour. For AML and KYC teams, that timing is the difference between acting on a risk signal at first mention and finding it days later.
You can’t screen against a story your data never saw. Before you trust any AML setup, find out what its coverage actually reaches. Bring us the markets and languages your customers operate in, and we’ll show you what our data picks up, and when.
