> ## Documentation Index
> Fetch the complete documentation index at: https://agent-docs.akta.pro/llms.txt
> Use this file to discover all available pages before exploring further.

# News Detail API Overview

> Fetch the complete, enriched article record for one or more specific news IDs.

The akta.pro News Detail API returns the complete enriched record for one or more specific news articles, looked up by `news_ids`. It returns the same rich article structure as the [News Signals API](/docs/news-signals/overview) — AI summary, full text, sentiment, tags, classifications, company mentions, and named entities — but scoped to exact article IDs instead of a search query.

This is a **synchronous GET API**. Pass the IDs in the URL and receive the full article records immediately in the HTTP response. No polling required.

**Typical pattern:** discover articles with the [News Signals API](/docs/news-signals/overview) (which returns each article's `id`), then call the News Detail API with those IDs when you need the complete record — full text, all classification fields, and every company mention — for a specific set of articles.

**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, plus a numeric `sentiment_score`
* **News tags**: structured primary and secondary tags (e.g. `"Product Launches & Enhancements"`, `"Partnerships & Alliances"`)
* **Industry classifications**: industry names with a primary flag
* **Company mentions**: resolved array of every company named in the article, each with UUID, name, and website
* **Named entities**: people, locations, products, and events extracted from the article text
* **Classification codes**: IPTC, IAB, NAICS, and SIC codes for cross-referencing against external taxonomies
* **Article metadata**: flags for whether an article is a press release, opinion piece, or breaking news, plus the country/countries associated with the event, publisher, author, word count, and newsworthiness score

**Common use cases:**

* **Full-text retrieval after search** : run a News Signals query to find relevant articles, then batch-fetch full details for just the IDs you plan to use, keeping your search calls lean
* **Re-fetching known articles** : refresh or re-verify the record for articles already stored in your system, referenced by their akta.pro `id`
* **Deep-dive enrichment** : pull complete classification, entity, and company-mention data for a handful of high-priority articles surfaced elsewhere in your pipeline
* **LLM pipeline enrichment** : use `full_text` from a known set of article IDs as input to summarization, classification, or embedding models

<Info>
  This API is synchronous. Results are returned directly in the HTTP response. No job submission or polling required.
</Info>

***