The unique identifier for the article.
A list of locations mentioned in the article along with their detection methods. The full name of the location, including the state. Format is "City, State"
.
For example, "San Francisco, California"
.
Methods used to detect this location in the article. Options:
"dedicated_source"
, "local_section"
, "regional_source"
, "standard_format"
,
"proximity_mention"
, "ai_extracted"
.
The relevance score of the article.
The title of the article.
The primary author of the article.
The URL link to the article.
A brief description of the article.
The URL of the media associated with the article, typically an image.
A snippet or summary of the article’s content.
A list of authors of the article.
The date and time the article was published.
The precision of the published date.
The date and time the article was last updated.
The precision of the updated date.
Indicates if the article is an opinion piece.
The Twitter account associated with the article. Can be null
.
The domain URL of the article’s source.
The parent URL of the article, typically representing the homepage of the source.
The word count of the article.
The rank of the article’s source.
The country code where the article was published.
The rights information for the article, typically the domain name.
The language code in which the article is written.
Indicates if the article is paid content.
Natural Language Processing data for the article. The themes or categories identified in the article.
A brief AI-generated summary of the article content.
Sentiment scores for the article’s title and content. Show Sentiment properties
The sentiment score for the article title (-1.0 to 1.0).
The sentiment score for the article content (-1.0 to 1.0).
A dense 1024-dimensional vector representation of the article content.
Only available in the v3_local_news_nlp_embeddings
subscription plan.
Named Entity Recognition for person entities (individuals’ names). The name of the entity identified in the article.
The number of times this entity appears in the article.
Named Entity Recognition for organization entities (company names, institutions). The name of the entity identified in the article.
The number of times this entity appears in the article.
Named Entity Recognition for miscellaneous entities (events, nationalities, products). The name of the entity identified in the article.
The number of times this entity appears in the article.
Named Entity Recognition for location entities (cities, countries, geographic features). The name of the entity identified in the article.
The number of times this entity appears in the article.