Negative news on 6 million companies and public-role individuals, classified into 14 risk categories such as fraud, corruption and sanctions evasion, from 120,000 sources.
Data product · Listing updated 11 Nov 2026
Worldwide, no country restrictions stated.
Alerts within 6 hours of publication
6 million monitored entities, about 85,000 new risk-tagged articles a day
Small and medium businesses, Mid-market, Enterprises, Public sector
Licensed news from 120,000 publishers in 38 languages
NLP entity matching and risk classification, with analyst review of severity 4 and 5 hits
Adverse media hits that compliance analysts can act on, classified and de-duplicated before they reach the queue.
Parapet licenses news from 120,000 publishers in 38 languages. Entity recognition matches articles to companies using names, locations and identifiers, and a classifier assigns risk categories. Hits with severity 4 or 5 are reviewed by an analyst before release. Coverage of individuals is limited to people in public roles; private individuals are excluded, and allegations are labelled as allegations until an official outcome is reported. The dataset is intended for regulated due diligence and supplier risk, not for screening employees, tenants or consumers.
13 fields as documented by Parapet Risk Data.
| Field | Type | Description | Example |
|---|---|---|---|
| entity_id | string | Matched company or public-role person | — |
| entity_name | string | Name of the matched entity | — |
| entity_type | string | company or public_role_person | — |
| risk_category | string | One of 14 risk categories | — |
| severity | integer | 1 (low) to 5 (severe) | — |
| headline | string | Article headline | — |
| snippet | string | Licensed snippet around the mention | — |
| source_name | string | Publisher | — |
| source_country | string | Publisher country | — |
| language | string | Article language | — |
| published_date | date | Publication date | — |
| relevance_score | number | Confidence that the article is about the entity | — |
| analyst_reviewed | boolean | True when reviewed by an analyst | — |
Free sample available on request
The provider sends a sample file so you can test fit and quality before you buy.
Prices in USD, as published by Parapet Risk Data
per entity screened
ongoing monitoring of up to 50,000 entities
Converted amounts use DataStoa display rates and are approximate. Parapet Risk Data quotes the final price, taxes and terms.
Request detailed pricingWorldwide coverage.
Time coverage: 2014 to present.
Provider-reported
Latency: Alerts within 6 hours of publication
DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.
The licence is agreed directly between you and Parapet Risk Data. This summary is provider-reported; the linked terms prevail.
Not listed: use in commercial products, AI / ML model training, AI retrieval and grounding, redistribution allowed, marketing and outreach, research use. Ask Parapet Risk Data if you need any of these.
Sanctions, PEP, adverse media, litigation and IP data for screening
Parapet Risk Data compiles official sanctions lists, public-role PEP records, adverse media, court records and patent filings into screening-ready datasets and APIs. Compliance and risk teams in more than 40 countries use it for KYB, onboarding and ongoing monitoring.
Also available on: Snowflake Marketplace, Microsoft Azure
What buyers say about Parapet Risk Data. Reviews cover the provider, not only this listing.
from 2 reviews
Patents filed under a dozen subsidiary names roll up to the right parent, which used to be the slowest part of our landscape studies. Trademark coverage is useful but less deep than patents.
Ben R., IP analyst, Technology consultancy
Better transliteration and date-of-birth handling cut our sanctions alert volume noticeably without missing any true matches in our back-testing. List updates land within hours of official publication.
Chloe N., Financial crime manager, Digital bank