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The Akta News API fetches enriched news articles for a given company or industry. Each article is returned with an AI-generated summary, full body text, structured news tags, industry classifications, sentiment signal, relevance score, and a resolved list of all companies mentioned — making it ready for direct consumption in LLM pipelines, monitoring workflows, and investment research tools. This is a synchronous GET API — pass your filters as URL query parameters and receive a paginated array of enriched articles immediately in the response. Results can be scoped to a specific company (by website domain or UUID), a specific industry, or both. All filter parameters are optional — omitting them returns the latest articles across Akta’s full news index. Each article in the response includes:
  • AI summary — a concise, machine-generated synopsis of the article’s key facts
  • Full text — the complete article body for downstream LLM processing, embedding, or RAG
  • Sentiment — positive, negative, or neutral classification at the article level
  • News score — relevance and quality score for signal triage
  • News tags — structured primary and secondary tags (e.g. "Equity Fund-Raising", "Layoffs", "IPO")
  • Industry classifications — industry names with primary flag
  • Company mentions — resolved array of all companies named in the article, each with UUID, name, and website
Common use cases:
  • Company monitoring — pass a company’s website domain to track all coverage for a specific business, filtered by sentiment or news type
  • Industry intelligence — pass an industry name to monitor deal flow, regulatory activity, or innovation signals across an entire sector
  • LLM pipeline enrichment — use full_text as input to summarisation, classification, or embedding models, pre-filtered by type and sentiment
This API is synchronous. Results are returned directly in the HTTP response — no job submission or polling required.