If an Adverse Media Order has been placed on a business, once the Order is complete, the Business will be populated with an Adverse Media Screening Object.
Adverse Media Screening Object
Attribute | Type | Description |
---|---|---|
id | uuid | The id of the Adverse Media Screening object |
object | string | The value is adverse_media_screening |
results | object[] | An array of the Adverse Media Screening Results associated with this object |
created_at | timestamp | |
updated_at | timestamp |
Adverse Media Screening Result
Attribute | Type | Description |
---|---|---|
id | uuid | The id of the Adverse Media Screening Result |
match_score | float | A score describing how well the matched Person or Name match the result |
items | object[] | An array of Adverse Media Items |
risk_scores | object | Risk scores is a hash where each key is one of the risk categories defined below. The value is the confidence level of that risk category. This object may be empty despite Adverse Media items being present |
Adverse Media Item
Attribute | Type | Description |
---|---|---|
source_name | string | The name of the source where the URL was found |
title | string | The title of the media |
url | string | The URL of the media |
flags | object | See the Flags object defined below |
created_at | timestamp | |
updated_at | timestamp |
Adverse Media Flags
Attribute | Type | Description |
---|---|---|
risks[].name | string | The name of the associated risk category. The full possible list is included below |
risks[].confidence_level | string | The values of this string can be high , moderate , or low |
sentiments[].name | string | The sentiment of the article. The value can be positive , neutral or negative |
sentiments[].confidence_level | string | The confidence level of the corresponding sentiment |
Possible Risk Categories
Risk Category |
---|
auctions |
casinos |
cryptocurrency |
currency_exchanges_forex |
cybercrime |
fine_art |
foreign_assets |
human_trafficking |
fraud_bribery_corruption |
insider_trading |
lending_services |
luxury_vehicles |
money_laundering |
money_service_businesses |
narcotics |
non_profit |
organized_crime |
other_non_financial |
terrorism |
rare_gems_and_metals |
real_estate |
recreational_drugs |
sanctions |
sex_industry |
smuggling_contraband |
tax_evasion |
terror_funding |
used_merchandise |
weapons_sales_trade |
{
"object": "adverse_media_screening",
"id": "813497b9-09f2-416d-ae13-910e87aa6212",
"created_at": "2023-11-14T20:58:07.263Z",
"updated_at": "2023-11-14T20:58:15.145Z",
"results": [
{
"object": "adverse_media_screening_result",
"id": "9e3e7c0d-5b34-4a84-bfc1-3f7df0eaf317",
"risk_scores": {
"casinos": 0.000450834860692421,
"auctions": 0.0013335096827055268,
"fine_art": 0.007225213124585425,
"narcotics": 0.6167317964920513,
"sanctions": 0.001693409343093892,
"terrorism": 0.003143392025510342,
"cybercrime": 0.000018938101459706312,
"non_profit": 0.0009277729532797826,
"real_estate": 0.0015680633807386589,
"tax_evasion": 0.0005444803417982738,
"sex_industry": 0.005259607082234921,
"cryptocurrency": 0.000005419329198522963,
"foreign_assets": 0.00028059277300369,
"terror_funding": 0.0011850091595024945,
"insider_trading": 0.000021701895055341547,
"luxury_vehicles": 0.012811740504009097,
"organized_crime": 0.04183278032123469,
"lending_services": 0.00007112870938956612,
"money_laundering": 0.007197921250898577,
"used_merchandise": 0.0013376084330663975,
"human_trafficking": 0.014002595719187213,
"recreational_drugs": 0.0019509313187343219,
"other_non_financial": 0.045351523610767906,
"weapons_sales_trade": 0.2388203032929474,
"rare_gems_and_metals": 0.013514956538167288,
"smuggling_contraband": 0.07365555534093172,
"currency_exchanges_forex": 0.000022484404190755376,
"fraud_bribery_corruption": 0.0025421111521166705,
"money_service_businesses": 0.000048325565496022515
},
"created_at": "2023-11-14T20:58:14.911Z",
"updated_at": "2023-11-14T20:58:14.911Z",
"match_score": 0.990099,
"items": [
{
"object": "adverse_media_item",
"source_name": "Washington Source",
"title": "Fugitive Wanted for Attempted Murder in California Arrested",
"url": "https://examplearticle.de/example_article/",
"flags": {
"risks": [
{
"name": "narcotics",
"confidence_level": "moderate"
}
],
"sentiments": [
{
"name": "negative",
"confidence_level": "high"
}
]
},
"created_at": "2023-11-14T20:58:15.020Z",
"updated_at": "2023-11-14T20:58:15.020Z"
},
{
"object": "adverse_media_item",
"source_name": "The Washington Tribune",
"title": "3,000 Euros for the room of silence",
"url": "https://examplearticle.de/example_article/",
"flags": {
"risks": [],
"sentiments": []
},
"created_at": "2023-11-14T20:58:15.037Z",
"updated_at": "2023-11-14T20:58:15.037Z"
},
{
"object": "adverse_media_item",
"source_name": "The Tribune",
"title": "Micheal Leslie Christopher",
"url": "http://www.examplearticle.com/2020/10/22/example_article-2/",
"flags": {
"risks": [],
"sentiments": []
},
"created_at": "2023-11-14T20:58:15.046Z",
"updated_at": "2023-11-14T20:58:15.046Z"
},
{
"object": "adverse_media_item",
"source_name": "The Washington Transcript",
"title": "Chamber prepares for annual Partners in Education Breakfast",
"url": "https://www.examplearticle.com/news/local_news/example_article",
"flags": {
"risks": [],
"sentiments": [
{
"name": "positive",
"confidence_level": "high"
}
]
},
"created_at": "2023-11-14T20:58:15.063Z",
"updated_at": "2023-11-14T20:58:15.063Z"
}
]
}
]
}