AskNews Logo Dark

AI-ready news infrastructure

Stop scraping news. Query it.

Delete the crawler, the parser, the dedupe job, and the licensing conversation. One API returns licensed, enriched, prompt-ready news your agents can call directly.

cli.sh

$ asknews research "Investigate how EU AI Act enforcement affects model providers"

Technology30 Sources
AP

AI companies raise token prices to cover development costs

5 min agoOpenAI Anthropic Gemini
Finance55 Sources
Stockpulse

Inference costs reshape the economics of AI products

2 min agoNvidia H100 TSMC
Technology70 Sources
Newsweek

Agent frameworks converge on a shared tool protocol

15 min agoMCP LangChain SDKs
Business210 Sources
TIME

Dev teams cut infrastructure spend by buying the data layer

1 day agoVercel Cloudflare Snowflake
Technology480 Sources
AFP

Retrieval quality, not model size, decides output accuracy

8 days agoRAG Embeddings Rerank

Used in the field

From the UK Cabinet Office and Frontier AI Labs to organizations across insurance, intelligence, private equity, and hedge funds.

Built on trusted, licensed sources

The problem

The scraper is never actually done.

A weekend prototype turns into a permanent maintenance job: selectors rot, paywalls close, duplicates pile up, and legal asks who approved any of it.

Selectors keep breaking

Every site redesign is an unplanned sprint.

Paywalls end the crawl

The reporting worth having is the reporting you cannot fetch.

You built a data team

Dedupe, enrich, index, backfill — none of it is your product.

Or you delete all of it and call one endpoint: AskNews.

Built for developers

Simple to integrate. Powerful at scale.

  • CLI
  • REST API
  • Python & TypeScript SDKs
  • MCP for agents
  • Comprehensive docs
View documentation

AI-native platform

Everything you were about to build.

Retrieval, enrichment, entity resolution, history, and monitoring — behind one API instead of five services you maintain.

News API

Real-time search and retrieval at scale.

MCP/CLI for Agents

Drop AskNews in as a tool your agent already knows how to call.

DeepNews

Agentic deep research when one query is not enough.

Prompt-ready output

Enriched and deduped, so you are not pre-processing before the model.

Historical News

Backfill without writing a second pipeline.

Alerts

Push updates into your app instead of polling for them.

Enrichments

400% more enrichments/extractions than competitors.

Every AskNews datapoint arrives with the context models need—not a raw article your team still has to process. Real-time news access responds in under 100 ms.

Under 100 ms real-time response
Technology42 sources · 18 sec ago

Chipmakers expand US capacity as AI infrastructure demand accelerates

AskNews resolves the article into structured, model-ready context as it arrives.

Wikidata entitiesNVIDIA · Q76
Geo-coordinates37.7749° N, 122.4194° W
BiasCenter · 0.08
SentimentPositive · 0.74
Reporting VoiceAnalytical
Graph RelationshipsNVIDIA → TSMC → Arizona
Key PointsToken optimized · 3 points

One toolbox

Every source your research needs. One API.

Reach paywalled news, the open web, X, Wikipedia, Google, Reddit, and Podcasts through one consistent AskNews toolbox—without stitching together seven separate integrations.

Bring licensed reporting and the broader web into the same research workflow, then let AskNews retrieve, connect, and structure the evidence.

AskNews
Paywalled news
Open web
X
Wikipedia
Google
Reddit
Podcasts
Research traversalself-learning

Competitors

QDepth 1

One pass. One result set. Research stops here.

DeepNews

Depth 1
News
Depth 2
NewsWeb
Depth 3
NewsWebX
Depth 4
NewsWebXWiki
Iterates, learns, branches, and verifies

Depth

Research that keeps going when others stop.

DeepNews performs self-learning iterative research across paywalled news, open web content, X, Wikipedia, and much more, to reach never-before-seen research depth and breadth.

Getting started

From query to production in just three steps.

  1. 01

    Grab a key

    Self-serve, no sales call to start building.

  2. 02

    Call one endpoint

    REST, Python, TypeScript, CLI, or MCP.

  3. 03

    Ship it

    Scale the tier as your traffic grows.

Why teams stop building it themselves

The data layer is not your product.

Cleaner context, fewer tokens burned on noise, and an entity graph you would never get around to building.

80%
less spent on data preparation
5x
faster time to production
0
scrapers left to maintain
500K+
new articles indexed every day
Explore the Knowledge Graph

Entity resolution you would otherwise have to build yourself.

Agent Tooling
Model Providers
Anthropic
San Francisco
Open Source
Developer Tools
LangChain
MCP Ecosystem
Agent Builders
PeoplePlacesOrganizations
Mentions over timeVolume · Sentiment

How do we compare?

Build it, or call it.

Everything in the left column is something your team ends up owning forever.

ApproachThe problemAskNews
In-house scrapersPermanent maintenance, no paywalled accessOne endpoint, licensed sources
Generic AI searchOpen web only, noisy, hard to groundNews-specific, enriched, prompt-ready
Traditional news APIsRaw feeds you still have to processStructured for models, not for skimming
RSS + vector DBShallow coverage, you own the whole pipelineRetrieval, enrichment, and history included

Customer proof

Infrastructure teams can put into production.

Used by teams across Frontier AI Labs.

99.9%
Service SLA
200,000+
Global sources
500K+
New articles per day
200M+
Historical articles

Pricing

Find the right plan for you

Access trusted AI-powered news intelligence in the way that suits your needs.

Ship instead of scrape

Delete the scraper. Keep the roadmap.

Join the developer teams and agent shops building news-aware products without owning a news pipeline.

Get your API key
cli.sh

$ asknews research "Investigate how EU AI Act enforcement affects model providers"

Technology30 Sources
AP

AI companies raise token prices to cover development costs

5 min agoOpenAI Anthropic Gemini
Finance55 Sources
Stockpulse

Inference costs reshape the economics of AI products

2 min agoNvidia H100 TSMC
Technology70 Sources
Newsweek

Agent frameworks converge on a shared tool protocol

15 min agoMCP LangChain SDKs
Business210 Sources
TIME

Dev teams cut infrastructure spend by buying the data layer

1 day agoVercel Cloudflare Snowflake
Technology480 Sources
AFP

Retrieval quality, not model size, decides output accuracy

8 days agoRAG Embeddings Rerank
Licensed sources Structured context Global coverage Production-ready Agent-native Real-time
Flowdapt Logo