> ## Documentation Index > Fetch the complete documentation index at: https://docs.akta.pro/llms.txt > Use this file to discover all available pages before exploring further. # Overview The Akta News Signals API fetches enriched news articles, optionally scoped by company, industry, open-ended search query, or any of a range of other filters. Each article is returned with an AI-generated summary, full body text, structured news tags, industry classifications, sentiment signal, relevance score, named entities, 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. You can pass any filters you need as URL query parameters and receive a paginated array of enriched articles immediately in the response. Every filter parameter is optional. You can scope results to a specific company (by website domain or UUID), an industry, or an open-ended topic query. For example a free-text theme like "tariffs", "data center buildout", or "AI regulation" that doesn't map neatly to a single company or industry code. You can also filter on any of the other supported parameters (named entities, NAICS/SIC/IPTC/IAB codes, sentiment, date range, and more), combine as many as you like, or pass none at all. A request with no filters simply 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 * **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 **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** : resolve an industry via the Industry Search API, then pass the resulting code to monitor deal flow, regulatory activity, or innovation signals across an entire sector * **Open-ended topic monitoring** : pass a free-text `query` to track a theme, event, or narrative that spans multiple companies and industries, without needing to resolve it to a company or industry code first * **Entity tracking** : filter or post-process by `entity_person_list`, `entity_location_list`, `entity_product_list`, or `entity_event_list` to follow specific people, places, products, or events across coverage * **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.