Best News API

NewsAPI.ai (Event Registry) vs Exa: full comparison for 2026

Quick verdict

NewsAPI.ai (Event Registry) (4.3/5) edges ahead of Exa (4.0/5) overall. NewsAPI.ai (Event Registry) is the better choice for multilingual event tracking for analysts and research teams. Exa is the stronger option for RAG and agent builders needing semantic news retrieval. The right pick depends on your budget, how much history you need and whether you need full text.

NewsAPI.ai (Event Registry) vs Exa: head-to-head summary

Criterion NewsAPI.ai (Event Registry) Exa
Founded 2017 2021
HQ Ljubljana, Slovenia San Francisco, USA
Team size 11–50 51–200
Rating 4.3 / 5 4.0 / 5
Primary differentiator Merges articles about the same real-world event across languages into one event record Meaning-based search finds relevant pages even when the keywords differ
Pricing model Monthly token plans; per-token overage Pay per request; free monthly credit
Entry price $90/mo $7 per 1,000 searches
Formats & SDKs REST API, JSON, Python SDK REST API, JSON, Python SDK
Typical uses Research & academia, Media monitoring, Financial services, Risk & compliance AI & LLM apps, Research & academia

NewsAPI.ai (Event Registry) vs Exa: overview

NewsAPI.ai (Event Registry)

NewsAPI.ai is the commercial brand of Event Registry d.o.o., a Ljubljana company spun off from the Jožef Stefan Institute's AI lab in 2017. Instead of handing back a flat list of articles, it groups coverage of the same story across languages into events and tags each article with concepts, categories and sentiment. Pricing is published and token-based. A search over recent news costs one token, older archive queries cost more, and the 5K-token plan is listed at about $90 a month. Startup directories name Bloomberg, Nasdaq and IBM among its customers (per company materials; independently unverifiable).

Exa

Exa Labs was founded in 2021 in San Francisco by Will Bryk and Jeff Wang under the name Metaphor, and raised an $85 million Series B led by Benchmark in September 2025. It runs its own embeddings-based web index. A request can be narrowed to the news category and can return cleaned page contents in the same call. As of 2026 the Search endpoint is listed at $7 per 1,000 requests with contents for the first 10 results included, and new accounts get $20 in credit. Exa is a general web search engine first, so small regional outlets and strict publication-date filters are weaker spots than in dedicated news APIs.

Features: NewsAPI.ai (Event Registry) vs Exa

Capability NewsAPI.ai (Event Registry) Exa
Full article text ✓ ✓
Historical archive ✓ ✗
NLP enrichment ✓ ✗
Story/event clustering ✓ ✗
Licensed publisher content ✗ ✗
Streaming or webhooks ✓ ✗
Free access ✓ ✓

Formats and SDKs: NewsAPI.ai (Event Registry) vs Exa

Format / SDK NewsAPI.ai (Event Registry) Exa
REST API ✓ ✓
Python SDK ✓ ✓
Node.js SDK ✓ ✓
Webhooks ✓ N/A
WebSocket N/A N/A
MCP server N/A ✓
S3/bulk delivery N/A N/A
BigQuery N/A N/A

Pricing comparison: NewsAPI.ai (Event Registry) vs Exa

Criterion NewsAPI.ai (Event Registry) Exa
Entry price $90/mo $7 per 1,000 searches
Pricing model Monthly token plans; per-token overage Pay per request; free monthly credit
Access models Free tier, Monthly plans, Enterprise contract Free tier, Pay-as-you-go, Enterprise contract
Price transparency Public price Public price
Price tier Budget Budget

Who each API suits: NewsAPI.ai (Event Registry) vs Exa

Dimension NewsAPI.ai (Event Registry) Exa
Buyer type Individuals to enterprise Individuals to enterprise
Typical uses Research & academia, Media monitoring, Financial services AI & LLM apps, Research & academia
Example use cases Tracking how one story spreads across countries and languages. Academic or policy research on media coverage. Grounding LLM answers with recent news pages. Research agents that need the most relevant articles on a topic.
How you get access Free tier Free tier

NewsAPI.ai (Event Registry) vs Exa: pros and cons

NewsAPI.ai (Event Registry)
+ Cross-lingual event clustering grew out of academic work published from 2014 onward, and it shows
+ Token prices sit on the website, so you can estimate cost before talking to anyone
+ Concepts map to Wikipedia entities, which makes filters precise
+ Open-source Python client on GitHub with plenty of query examples
- Archive queries burn tokens quickly, so historical research gets expensive
- Unused tokens expire at the end of each month
- The query model carries research-tool complexity and takes a while to learn
- Each search returns at most 100 articles, so large pulls mean many paginated calls, each billed in tokens
- Some developers report friction with pagination and rate limits on bigger jobs (user reports; independently unverifiable)
Exa
+ Semantic queries surface coverage that keyword APIs miss
+ Search results and page contents come back in one call, which keeps RAG code short
+ Official MCP server and SDKs for Python and TypeScript
+ No monthly minimum on pay-per-request pricing
- It is a search engine without a source taxonomy, sentiment or story clustering
- Date filters rely on crawl and publish metadata that can be imprecise
- Per-request costs climb fast for high-volume monitoring

Who should choose NewsAPI.ai (Event Registry)?

A typical fit: tracking how one story spreads across countries and languages.

Merges articles about the same real-world event across languages into one event record. Paid access starts at $90/mo. Typical uses: Research & academia, Media monitoring, Financial services, Risk & compliance.

Who should choose Exa?

A typical fit: grounding LLM answers with recent news pages.

Meaning-based search finds relevant pages even when the keywords differ. Paid access starts at $7 per 1,000 searches. Typical uses: AI & LLM apps, Research & academia.

Decision matrix: NewsAPI.ai (Event Registry) vs Exa

Your situation Recommended choice
You want to start free before paying Both
Your budget is at the lower end Exa
You need full article text in the response Both
You need years of historical news NewsAPI.ai (Event Registry)
You need licensed premium or wire content Neither; look at Factiva, AP or LexisNexis
You are wiring news into an LLM agent Exa

Use case fit: NewsAPI.ai (Event Registry) vs Exa

Use case NewsAPI.ai (Event Registry) fit Exa fit Winner
Research & academia Strong Strong Both equally
Media monitoring Strong Limited NewsAPI.ai (Event Registry)
Financial services Strong Limited NewsAPI.ai (Event Registry)
Risk & compliance Strong Limited NewsAPI.ai (Event Registry)
AI & LLM apps Limited Strong Exa

Verdict: NewsAPI.ai (Event Registry) vs Exa

NewsAPI.ai (Event Registry) (4.3/5) is the stronger overall choice as a news data source. Merges articles about the same real-world event across languages into one event record.

Exa (4.0/5) is worth a look if you need research agents that need the most relevant articles on a topic. If your situation matches that, Exa is a competitive option.

Related comparisons

NewsAPI.ai (Event Registry) vs Exa FAQ

Is NewsAPI.ai (Event Registry) better than Exa?

NewsAPI.ai (Event Registry) (4.3/5) scores higher overall, but "better" depends on your use case. NewsAPI.ai (Event Registry)'s strongest advantage: cross-lingual event clustering grew out of academic work published from 2014 onward, and it shows. Exa's strongest advantage: semantic queries surface coverage that keyword APIs miss.

How do NewsAPI.ai (Event Registry) and Exa differ in pricing?

NewsAPI.ai (Event Registry): monthly token plans; per-token overage, with paid access from $90/mo. Exa: pay per request; free monthly credit, with paid access from $7 per 1,000 searches. Both offer some free access for testing.

Which is better for enterprise: NewsAPI.ai (Event Registry) or Exa?

Both sell enterprise contracts. Neither carries licensed publisher content, so check copyright terms before republishing anything.

What are the main differences between NewsAPI.ai (Event Registry) and Exa?

What sets NewsAPI.ai (Event Registry) apart: merges articles about the same real-world event across languages into one event record. What sets Exa apart: meaning-based search finds relevant pages even when the keywords differ. They also differ on entry price ($90/mo vs $7 per 1,000 searches) and typical uses (Research & academia, Media monitoring vs AI & LLM apps, Research & academia).

Verify all details directly with each API before making a decision.