Adverse media screening object

This page describes the results Middesk returns after running an adverse media screening on a business.

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 results

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	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`

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