Build news monitoring and research workflows on a prepared index

A useful news monitor needs more than a list of links. It needs a repeatable query, publisher identity, publication time, a clear content state, and a way to traverse results without page numbers shifting underneath it.

Clair handles collection and cleaning before the request. Your application can focus on topic alerts, editorial research, coverage review, media intelligence, or a customer-facing news feed while querying one prepared index with 3 months+ of coverage.

Coverage spans world affairs, politics, business, technology, science, health, sports, entertainment, and the environment. It excludes non-article utility formats; duplicate coverage and later edits collapse by default, and the publisher URL remains the source of record.

Use q for the subject and keep the expression inspectable. Quoted phrases require an exact phrase, uppercase OR combines alternatives, and a minus-prefixed term removes a known source of noise. Add exact publisher names, category, and an inclusive publication window when the brief calls for them.

GET /v1/news
    ?q="central bank" OR inflation -sports
    &category=business
    &from=2026-08-01T00:00:00Z
    &sort_by=published_at
    &limit=100

Resolve publisher names through GET /v1/sources. Unknown names fail explicitly instead of quietly producing an empty monitor.

Use next_cursor to walk every page of one search. The cursor is bound to its query, filters, sort, and revision mode, so a changed request fails rather than mixing two result sets.

A recurring monitor starts a fresh search. Carry an overlapping from window and deduplicate by Clair id. The overlap matters because publication time belongs to the publisher and an article may enter the index after that timestamp. Store collected_at as an observation signal, but do not confuse it with publication time.

Use sort_by=published_at for timelines, alerts, and coverage review. Use sort_by=relevance when a researcher wants the strongest keyword matches first. Relevance requires a query and is local to that query.

The relevance score is not a probability, importance measure, sentiment score, or fact check. If your product needs clustering, entity extraction, summarization, semantic retrieval, or answer generation, those are downstream capabilities you provide—not News API features.

Branch on content_available and content_truncated instead of assuming every item contains article text. Preserve the original URL, publisher, title, timestamps, and stable ID even when content is null.

The default response keeps one canonical version per publisher URL. For audits of how coverage changed, request include_edits=true and use is_update to distinguish later revisions. For ordinary monitoring, leave edits collapsed so one evolving story does not become several alerts.

Clair returns publisher material and retrieval metadata; it does not determine whether a claim is true or whether downstream storage, quotation, generation, or republication is permitted. Keep the publisher and original URL visible wherever a result is presented.

If the product you are building analyzes hiring activity rather than reporting, use the job market intelligence use case. News and Jobs have separate schemas, hosts, and RapidAPI listings.