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The AI-first News API dedicated to quality and transparency.

Choose the plan that best fits your needs

AskNews App

Free

Free forever. No credit card required.

$ 0/month

Read AskNews stories
Chat with open-source models
HeadsUpDisplay™️
EventTracker™️
API Access - 100 calls

Pro Reader

Tuned in.

$ 7.99/month

Support transparent news
Read full AskNews stories
Chat with any of the smartest LLMs
StoryGraph™️
RedditPerspective™️

Spelunker

Deep research.

Use BLACKFRIDAY24 for 80% off!

$ 250/month

Use BLACKFRIDAY24 for 80% off!

Newsplunker™️ dashboard
All Reader features plus:
Usage tracked Analyses
Limited API access
Limited license

AskNews Developer API

Pro

Personal access.

$ 7.99/month

API Access - 500 calls (20 documents per call)
API Access - Latest News
API Access - Chat - $5/M tokens
Limited license

Analyst

Professional access.

$ 500/month

API Access - 50k calls (50 documents per call)
API Access - Latest News
API Access - News Archive
API Access - Chat - 10M tokens included
API Access - Stories
API Access - Knowledge Graphs
API Access - Voir Forecasts
API Access - Live Web Search
API Access - Finance
Newsplunker™️ dashboard
Limited license

Enterprise

Commercializable access.

Unlimited API Access
All Analyst features plus:
API Access - Politics
API Access - Reddit on-demand calls
Custom branding
Up-time guarantee
Training data block access
Full commercial license

Increase flexibility with usage tracking

1k10k100k1M3M5M

Pro Plan

Cost for 1k documents (required calls: 50): $7.99

Analyst Plan

Cost for 1k documents (required calls: 20): $500.00

Need support or have questions about the plans? Wanna test the Forecast endpoint on our bot? Join our Discord or email us at contact@asknews.app or checkout our documentation for details.

Feature Comparison

Feature	AskNews 🏆	Competitor 1 🥈	Competitor 2 🥉	Competitor 3
Price Comparison
API Access	50K calls/month	38k calls/month	10K calls/month	50K calls/month
Pricing	$500.00/month	$220.00/month	$225.00/month	$249.99/month
Free tier	✅	✅	❌	✅
Pay per call	✅ $0.005/call	❌	❌	✅ $0.004/call
Pay per token	✅	❌	❌	❌
Self-serve	✅	✅	Must email sales team	✅
Academic access	✅	❌	✅	✅
Licensing	Limited license indefinite	Limited license indefinite	Limited license 1 year	Not reported
Company size limits	No company limits	No company limits	Start-up only	No company limits
Content Comparison
Full content summary	✅ AI-first, up to 20 pages summarized with SOTA LLMs	❌	Summary based on first page only using traditional methods	❌
Real-time	✅	❌	1h delay	❌*
Narrative (event) tracking	State of the art (SOTA) adaptive clustering based on our own research	❌	❌	❌
Historical Archive	8-months	❌	3-months	1-year
Permissive synthetic data	✅	❌	❌	❌
Guaranteed clean content	✅ SOTA QAQC	❌	❌	❌
Prompt-optimized output	✅ maximum context, minimum tokens	❌	❌	❌
Stories (events) endpoint	✅ Custom written stories, human in the loop editorial	❌	❌	❌
Chat endpoint	✅ Use state of the art models infused with news	❌	❌	❌
Entity extraction method	In-house trained SOTA GLiNER-news. Open-source, best entity extraction in the world (measured on top 20 benchmark datasets).	No entities available	Not reported, probably traditional spaCy or Flair	Not reported, probably traditional spaCy or Flair
Sentiment extraction method	State of the art LLM analysis of all articles	No sentiment available	Not reported	Not reported
Reddit	✅	❌	❌	❌
Voir Forecasts	✅ State-of-the-art forecasting on any event imaginable using our in-house system, Voir. https://voir.news	❌	Summary based on first page only using traditional methods	❌
Graph relationships	✅	❌	❌	❌
Source alignment metrics	✅	❌	❌	❌
Non-news	✅, Reddit and Web search	✅	❌	❌
Finance analytics endpoint	✅ - Cryptocurrency, Assets, Indices	❌	❌	❌
Politics analytics endpoint	✅ - 8 months historical sentiment	❌	❌	❌
Regional coverage	✅ Global, live monitoring in our transparency dashboard.	Not reported	Not reported	Focused to India (measured by AskNews researchers)
Transparency commitment	✅Dashboard, sources availability, open-source methods, open-source software, etc.	❌	❌	❌
User controlled citation handling	✅	❌	❌	❌
Scientifically driven	Open-source methods, open-source software, published papers, data scientists, data-quailty	Not reported	Not reported	Not reported
Language count	14	❌	35	84
Full content	Enterprise-only, however, our summaries cover full content, unlike competitor summaries.	❌	✅	✅
Filtering Comparison
Natural-language querying	✅	✅	❌	❌
Trending topic filter	✅	❌	❌	❌
Sentiment filter	✅	❌	❌	❌
Region filter	✅	❌	✅	✅
Category filter	✅	❌	✅	✅
Synthetic data curation	✅	❌	❌	❌
Deep Metrics	✅ AI confidence, sentiment evolution, RedditPerspective™️, StoryGraph™️, etc	❌	❌	❌
RAG endpoint	✅	✅	❌	❌
Search infrastructure	AI-first Qdrant vector database	Not reported	Traditional Elastic with SQL (based off their API syntax)	Traditional Elastic with SQL (based off their API syntax)
Dense and sparse embeddings	✅	❌	❌	❌
Exact match	✅	❌	✅	✅
Performance Comparison
Daily article count	300k/day guaranteed high-quality articles	Not reported	1M/day (self-reported, likely includes low-quality content)	20k/day* (high proportion of Indian publications)
Source count	50k	Not reported	148k (self-reported)	Not reported
Measured Latency	100 ms (North America)	Up to 10 seconds, self-reported	Not reported	Not reported
API Comparison
LangChain integration	✅	✅	❌	❌
Python SDK	✅	✅	❌	✅
Async Python SDK	✅	❌	❌	❌
TypeScript SDK	✅	❌	❌	❌