How to Build a News Search Feed for AI Apps with the Context.dev News API

Context.dev News is presented as an API for grounding AI applications in current and historical news through natural-language topic searches and deterministic company searches by domain, ticker, ISIN, or name. It returns structured article metadata, matching passages, publication dates, source information, article classifications, and story identifiers that help agents cite sources, filter results by attributes such as date or article type, and collapse syndicated duplicates before adding material to an LLM context window. The guide explains relevance-based natural-language search, entity-specific search, exact-phrase and exclusion operators, cursor pagination, and the different sorting and pagination rules for topic versus company searches. For deeper coverage, Context.dev Highlights can extract relevant passages from full articles, while a production example demonstrates paging through recent company press releases and deduplicating both article IDs and story clusters. Pricing is based primarily on one credit per 10 returned results, with additional costs for unknown company lookups and optional scraping or highlighting features, and new accounts receive monthly free credits.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.