TL;DR: NeuralPress is a real-time AI News API that aggregates global news from 150+ sources, summarises each article with an LLM, and delivers the output as clean Markdown — not messy HTML. It includes vector/semantic search, citation graphs, and SSE streaming. Free tier: 100 requests/day. No credit card required.
What Is NeuralPress?
NeuralPress is an AI-powered News API built by Infinitude Private Limited, designed for developers and AI agents who need structured, LLM-ready news data without scraping, cleaning, or parsing raw HTML.
Whether you’re building a news aggregator, a RAG (Retrieval-Augmented Generation) pipeline, an AI agent, or a real-time news dashboard, NeuralPress delivers verified, AI-summarised news in a format your application can immediately consume.
Core capabilities at a glance:
- Real-time news ingestion from 150+ global sources, refreshed every 60 seconds
- AI-generated summaries and bilingual (English → Sinhala) translations
- Semantic/vector search using 384-dimensional embeddings
- Citation graph linking multiple publications per event
- Markdown-formatted output — optimised for LLM token efficiency
- REST API + Server-Sent Events (SSE) streaming + Webhooks
- 100 free API requests per day — no credit card needed
The Problem NeuralPress Solves
If you’ve ever tried to feed live news into an AI application, you know the pain:
- Raw HTML is noisy. Cookie banners, navigation menus, ads, and popups eat your tokens and confuse your model.
- Existing News APIs return unstructured text. You still have to chunk, clean, and embed it yourself.
- No semantic search. Keyword-based news APIs can’t find conceptually related articles — only literal keyword matches.
- No citation tracking. When three sources report the same event, you get three duplicate entries instead of one consolidated record with linked citations.
NeuralPress solves all four problems in a single API call.
How Does the NeuralPress AI News API Work?
NeuralPress runs a proprietary five-stage ingestion pipeline that processes every news event before it reaches your API response:
Stage 1 — Automated News Discovery
A custom-built search engine continuously scans global publications and official feeds around the clock. No third-party news aggregator dependency.
Stage 2 — Source Verification
When an event is discovered, the system cross-checks trusted sources to validate authenticity before the item enters the pipeline.
Stage 3 — Information Synthesis
Facts and context are gathered from multiple verified publications to build one complete, accurate record of the event.
Stage 4 — AI Summary Generation
An LLM generates a focused, bias-reduced article covering only the primary points — stripping opinion and editorial noise.
Stage 5 — Vector Storage
The final article is stored alongside high-dimensional (384-dimension) vector embeddings, enabling future semantic/conceptual search queries.
Result: Every API response you receive has already been verified, synthesised, summarised, and indexed — ready to use directly in your AI application.
Why Markdown Output Changes Everything for AI Applications
Most News APIs return either raw HTML or plain text JSON. NeuralPress takes a different approach: every news article is delivered in clean Markdown format.
Here’s why that matters for developers building AI-powered products:
1. Up to 80% Token Savings
HTML documents include navigation bars, cookie consent dialogs, footer links, sidebar ads, and comment threads. None of that is useful to your LLM. NeuralPress strips all of it and passes only the relevant article content as clean Markdown, which can reduce token consumption by up to 80% compared to feeding raw HTML to a model.
2. Immediate LLM Comprehension
LLMs like GPT-4, Claude, and Gemini are trained heavily on Markdown-formatted text. Headers, bullet points, bold terms, and structured links all map naturally to how these models parse and reason about content. Markdown-first delivery means your model understands context faster and more accurately.
3. RAG Pipeline Ready
Clean Markdown headers and sections map directly to vector chunks. When you split articles for embedding, section headings become natural chunk boundaries — improving retrieval accuracy in your RAG pipeline with no additional preprocessing.
4. Citations as Native Markdown Links
Instead of returning a flat list of source URLs in a separate field, NeuralPress embeds citation links directly as standard Markdown hyperlinks inside the article content. Your model can reference and reason about sources inline — just as a human researcher would.
Sample NeuralPress Markdown output:
# Global Energy Transition Milestones
*Published: June 9, 2026 | Verified Sources: 3*
### Executive Summary
Major power grids have successfully integrated record levels of solar storage
capacity this quarter, backed by new regional standardization frameworks.
### Key Points
- **Solar Capacity:** Increase of 14.2% across local grids
- **Battery Standards:** New frameworks went into effect to balance grid fluctuations
- **Cross-Source Consensus:** Confirmed by multiple tech publications
### Primary Citations
1. [TechAuthority](https://example.com/grid-standards)
2. [GlobalChronicle](https://example.com/battery-expansion)No scraping. No cleaning. No regex. Just structured data your application can use immediately.
Key Features: A Developer-Focused Breakdown
Real-Time News API with Sub-300ms Latency
NeuralPress indexes 100,000+ articles per day, with search query latency optimised to under 300ms. For production applications that need live data, this matters.
Semantic / Vector Search (Not Just Keywords)
Query news conceptually using natural language. Search for “clean energy breakthroughs” and get results about solar, wind, battery storage, and grid policy — not just articles that literally contain those words. Powered by 384-dimensional vector embeddings.
Multi-Source Citation Graphs
Each news event record includes a citation graph linking up to 14+ publications that reported the same story. This eliminates duplicate entries and gives your application a complete, multi-perspective view of any event.
Server-Sent Events (SSE) Streaming
Subscribe to a live news stream using SSE and receive new articles the moment they are indexed. Ideal for real-time dashboards, alert systems, and event-driven AI agent workflows.
Webhooks
Set up push webhooks to have NeuralPress deliver news to your application endpoint as soon as it’s processed — no polling required.
Bilingual AI Translation (English → Sinhala)
A feature built specifically for applications serving Sri Lankan audiences. NeuralPress can generate high-fidelity Sinhala translations of English news summaries — a capability rare in any commercial news API.
Interactive Developer Playground
Test queries, inspect JSON payloads, and explore citation graphs directly in the browser before writing a single line of integration code.
Who Is NeuralPress Built For?
NeuralPress is the right News API if you are building:
| Use Case | Why NeuralPress Fits |
|---|---|
| AI news aggregator app | Pre-summarised, deduplicated, Markdown-ready content |
| RAG pipeline for current events | Vector embeddings + clean chunks + citation links |
| AI agent that monitors news topics | SSE streaming + semantic search + webhooks |
| Multilingual news platform | English + Sinhala synthesis built in |
| News sentiment analysis tool | Structured JSON with sentiment-ready, bias-reduced content |
| Chatbot with real-time knowledge | Live ingestion feed, 100k+ articles/day |
| Developer tool or SDK | REST API, interactive playground, clean docs |
NeuralPress vs. Other News APIs
| Feature | NeuralPress | Traditional News APIs |
|---|---|---|
| Output format | Markdown (LLM-ready) | Raw HTML or plain text |
| Semantic search | ✅ 384-dim vector search | ❌ Keyword only |
| AI summaries | ✅ LLM-generated per article | ❌ Usually none |
| Citation graphs | ✅ Multi-source per event | ❌ Single source per item |
| SSE streaming | ✅ Real-time | ❌ Polling required |
| Token efficiency | ✅ Up to 80% savings | ❌ Full HTML payload |
| Free tier | ✅ 100 req/day, no card | Varies |
| RAG pipeline ready | ✅ Out of the box | ❌ Requires preprocessing |
Pricing: Start Free, Scale When Ready
NeuralPress follows a developer-first pricing model:
Free Plan — $0/month
- 100 API requests per day (5 RPM limit)
- Semantic search with basic citations
- Access to the interactive playground and sandbox
- 1 active API key
- Ideal for testing, prototyping, and personal projects
Business Plan (Coming Soon)
- 100,000 API requests/month (300 RPM)
- Real-time news streaming via Webhook
- Full English–Sinhala bilingual synthesis
- AI Key Metrics: What Happened and Why It Matters fields
- Advanced filters: sentiment, breaking status, topic tags
- Up to 5 active API keys
Advanced Plan (Coming Soon)
- 1,000,000+ API requests/month
- Real-time SSE + raw socket streams
- Under 5-second pipeline webhook delivery
- Raw AI semantic embeddings access
- Unlimited API keys and custom webhooks
- Priority support and custom data retention
Quick Start: Integrate NeuralPress in Under 5 Minutes
// Fetch the latest AI-summarised news with semantic search
const response = await fetch(
'https://console.neuralpress.site/api/v1/access/news/search?q=renewable+energy',
{
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
}
}
);
const data = await response.json();
// Each article arrives as clean Markdown — no preprocessing needed
console.log(data.articles[0].content); // Markdown string
console.log(data.articles[0].citations); // Array of source links
console.log(data.articles[0].embedding); // 384-dim vector arrayGet your free API key at neuralpress.site — no credit card required.
Frequently Asked Questions
What is a real-time News API?
A real-time News API is a web service that continuously ingests news articles from multiple sources and makes them available for querying via HTTP requests, typically with very low latency. NeuralPress refreshes its index every 60 seconds from 150+ global sources.
What is an AI News API?
An AI News API goes beyond basic aggregation — it applies artificial intelligence to summarise, translate, classify, and semantically index news content before delivering it to your application. NeuralPress uses LLMs for summarisation and vector models for semantic search.
What is news in Markdown format?
News in Markdown format means the article content is delivered using Markdown syntax (headers, bullet points, bold text, hyperlinks) rather than raw HTML or plain text. This is important for AI applications because it reduces token usage and improves LLM comprehension of the content.
Does NeuralPress support semantic search?
Yes. NeuralPress uses 384-dimensional vector embeddings to index every article. You can query using natural language and receive conceptually relevant results — not just keyword matches.
Can I use NeuralPress for a RAG pipeline?
Yes — NeuralPress is specifically designed for RAG pipelines. The Markdown output, vector embeddings, and citation links make it straightforward to ingest NeuralPress content into any vector database (Pinecone, Qdrant, Weaviate, etc.) without preprocessing.
Is there a free News API available?
Yes. NeuralPress offers a free tier with 100 API requests per day, access to the developer playground, and semantic search — with no credit card required.
Does NeuralPress support Sinhala news?
NeuralPress includes bilingual AI translation from English to Sinhala, making it one of the very few News APIs with native Sinhala language support.
