Searches for structured event data extracted from news articles. Supports filtering by event type, date ranges, and event-specific filters.
Parameters for searching events.
The specific type of business event.
data_breach, fundraising, layoff, supply_chain_disruption, tariffs_v2 If true, includes source article data in the response. If false, returns only event data.
The event-specific filtering parameters. Required structure depends on the event_type value.
Additional article filters to include in the response. Only applicable when attach_articles_data is true.
description, content, published_date, published_date_precision, author, authors, journalists, domain_url, full_domain_url, name_source, extraction_data.parent_url, is_headline, paid_content, rights, rank, is_opinion, language, word_count, twitter_account, all_links, all_domain_links, nlp.theme, nlp.summary, nlp.sentiment, nlp.ner_PER, nlp.ner_ORG, nlp.ner_MISC, nlp.ner_LOC [
"description",
"published_date",
"nlp.summary"
]Search results containing matched events.
The status message of the search operation.
"Success"
The total number of events returned.
25
The list of matched events.
Array of source articles. Only present when attach_articles_data is true in the request. Access individual articles using array index, e.g.:
events.articles[0]events.articles[1]By default, only returns id, title, link, and media fields. To request more fields, add them to the additional_article_fields array in the search request.
The default article fields returned when attach_articles_data is true.