We use cookies to ensure you get the best experience on our website. Some of these cookies are provided by third parties. You are free to decide which categories you would like to permit and can withdraw this consent at any time (via cookie preferences link on the footer).
By accepting the necessary cookies, you agree to our privacy policy and terms of service, both located in the footer of the website.
Learn more on our terms of service and privacy policy.
AI-ready news infrastructure
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.
$ asknews research "Investigate how EU AI Act enforcement affects model providers"
AI companies raise token prices to cover development costs
Inference costs reshape the economics of AI products
Agent frameworks converge on a shared tool protocol
Dev teams cut infrastructure spend by buying the data layer
Retrieval quality, not model size, decides output accuracy
The problem
A weekend prototype turns into a permanent maintenance job: selectors rot, paywalls close, duplicates pile up, and legal asks who approved any of it.
Every site redesign is an unplanned sprint.
The reporting worth having is the reporting you cannot fetch.
Dedupe, enrich, index, backfill — none of it is your product.
Or you delete all of it and call one endpoint: AskNews.
Built for developers
AI-native platform
Retrieval, enrichment, entity resolution, history, and monitoring — behind one API instead of five services you maintain.
Real-time search and retrieval at scale.
Drop AskNews in as a tool your agent already knows how to call.
Agentic deep research when one query is not enough.
Enriched and deduped, so you are not pre-processing before the model.
Backfill without writing a second pipeline.
Push updates into your app instead of polling for them.
Getting started
Self-serve, no sales call to start building.
REST, Python, TypeScript, CLI, or MCP.
Scale the tier as your traffic grows.
Why teams stop building it themselves
Cleaner context, fewer tokens burned on noise, and an entity graph you would never get around to building.
Entity resolution you would otherwise have to build yourself.
How do we compare?
Everything in the left column is something your team ends up owning forever.
| Approach | The problem | AskNews |
|---|---|---|
| In-house scrapers | Permanent maintenance, no paywalled access | One endpoint, licensed sources |
| Generic AI search | Open web only, noisy, hard to ground | News-specific, enriched, prompt-ready |
| Traditional news APIs | Raw feeds you still have to process | Structured for models, not for skimming |
| RSS + vector DB | Shallow coverage, you own the whole pipeline | Retrieval, enrichment, and history included |
Trusted in the field
Pricing
Access trusted AI-powered news intelligence in the way that suits your needs.
Start without a subscription and add pre-paid credits as needed.
A low-cost plan for personal API access and deeper research.
For teams and power users who need more depth and volume.
Professional API capacity for production research workflows.
Ship instead of scrape
Join the developer teams and agent shops building news-aware products without owning a news pipeline.
Get your API key$ asknews research "Investigate how EU AI Act enforcement affects model providers"
AI companies raise token prices to cover development costs
Inference costs reshape the economics of AI products
Agent frameworks converge on a shared tool protocol
Dev teams cut infrastructure spend by buying the data layer
Retrieval quality, not model size, decides output accuracy
