Negative News

1 import datetime 2 3 from sayari import Sayari 4 5 client = Sayari( 6 client_id="YOUR_CLIENT_ID", 7 client_secret="YOUR_CLIENT_SECRET", 8 ) 9 client.negative_news.negative_news( 10 name="Gazprom", 11 topic="sanctions", 12 until=datetime.date.fromisoformat( 13 "2024-10-01", 14 ), 15 )

1 [ 2 { 3 "published": "2024-09-15", 4 "risk_flags": [ 5 "Sanctions", 6 "Regulatory Action", 7 "Geopolitical Instability" 8 ], 9 "search_term": [ 10 "Gazprom", 11 [ 12 "sanctioned entity", 13 "trade embargo", 14 "international sanction", 15 "restricted measures", 16 "sanction violation", 17 "trade restriction", 18 "blacklisted entity", 19 "economic sanction", 20 "export control" 21 ] 22 ], 23 "snippet": "Prime Ministers of Ukraine and Estonia Denys Shmyhal and Kristen Michal signed a joint statement calling for increased sanctions pressure on Russia and a full trade embargo. — Ukrinform.", 24 "source": "@ukrinform", 25 "title": "Ukraine, Estonia prime ministers call for imposing sanctions against Rosatom, Gazprom", 26 "url": "https://www.ukrinform.net/rubric-polytics/3935996-ukraine-estonia-prime-ministers-call-for-imposing-sanctions-against-rosatom-gazprom.html" 27 } 28 ]

This endpoint is in beta and subject to change

Screens entities against news articles and public records to identify risk-relevant content. Leverages machine learning to detect and classify risks across various domains. Provides detailed article metadata with risk assessments and direct source references.

Query parameters

namestringRequired

Target entity name for adverse media screening.

topicenumOptional

Risk category filter for targeted screening. Each topic represents a distinct risk domain (e.g., environmental for environmental violations, financial for financial misconduct).

untildateOptional

Date cutoff for article inclusion in YYYY-MM-DD format. If provided, only articles published before this date will be included in results.

Response

This endpoint returns a list of objects.

publishedstring

Article publication date

risk_flagslist of strings

Array of risk flags

search_termany

Contains the search query and associated terms used to find the article

snippetstring

Brief excerpt or summary of the article content

sourcestring

Name of the publishing organization or media outlet

titlestring

Article headline or title from the source publication

urlstring

Direct URL link to the original article

Headers

Query parameters

Response

Errors