Best News API for Developers

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

Quick verdict

NewsAPI.ai (Event Registry) (4.3/5) edges ahead of Exa (4.2/5) overall. NewsAPI.ai (Event Registry) is the better choice for developers building multilingual event or research tools. Exa is the stronger option for RAG and agent developers 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 4.2 / 5
Primary differentiator Event records that join coverage of one story across languages Search by meaning with page text returned in the same request
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 sold by Event Registry d.o.o., a Ljubljana company that left the Jožef Stefan Institute's AI lab as a spin-off in 2017. Its query model is built around events: articles about the same real-world story in different languages are linked into one event record, and each article carries concepts mapped to Wikipedia entities, categories and sentiment. Developers get an open-source Python client on GitHub and a published token price list, with recent-news searches at one token and archive searches costing more; the 5K-token plan is about $90 a month. Expect to write paging code. A search returns at most 100 articles, so bigger pulls take many calls, each billed in tokens, and some developers report pagination and rate-limit friction on larger jobs (user reports; independently unverifiable).

Exa

Exa Labs started in San Francisco in 2021 as Metaphor, founded by Will Bryk and Jeff Wang, and raised an $85 million Series B led by Benchmark in September 2025. It runs its own web index searched by meaning, so a query like "startups cutting cloud costs" can match articles that never use those words. Set the category to news and ask for contents, and one request returns cleaned text you can drop into a prompt. As of 2026 search costs $7 per 1,000 requests with contents for the top 10 results included, and new accounts start with $20 of credit. SDKs cover Python and TypeScript, and an official MCP server plugs it into agent tools. It is a search engine at heart, so expect weaker coverage of small regional outlets and fuzzier publication dates than a dedicated news API gives.

Features: NewsAPI.ai (Event Registry) vs Exa

Capability NewsAPI.ai (Event Registry) Exa
Full article text ✓ ✓
Historical archive ✓ ✗
NLP enrichment ✓ ✗
Story/event clustering ✓ ✗
Official SDK ✓ ✓
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 Following one story as it spreads across countries and languages. Research tools that analyse media coverage over time. Grounding chatbot answers in recent articles. Research agents gathering background 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-language event linking that would take months to build yourself
+ Concepts resolve to Wikipedia entities, which makes filters exact
+ Token prices are public, so you can estimate a bill before signing up
+ The open-source Python client ships with many worked query examples
- A 100-article cap per search means writing and paying for many paginated calls
- Developers report pagination and rate-limit friction on large jobs (user reports; independently unverifiable)
- Archive searches cost more tokens, and unused tokens expire monthly
- The query language has a learning curve
Exa
+ Finds relevant coverage that keyword queries miss
+ Contents come with results, so there is no second fetch-and-parse step
+ An MCP server and Python and TypeScript SDKs are official
+ Pay per request with no monthly minimum
- No source taxonomy, sentiment or story clusters
- Publication dates come from crawl metadata and can be off
- Monitoring thousands of queries a day gets expensive

Who should choose NewsAPI.ai (Event Registry)?

A typical fit: following one story as it spreads across countries and languages.

Event records that join coverage of one story across languages. Paid access starts at $90/mo. Typical uses: Research & academia, Media monitoring, Financial services, Risk & compliance.

Who should choose Exa?

A typical fit: grounding chatbot answers in recent articles.

Search by meaning with page text returned in the same request. 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 want an official SDK Both
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. Event records that join coverage of one story across languages.

Exa (4.2/5) is worth a look if you need research agents gathering background 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-language event linking that would take months to build yourself. Exa's strongest advantage: finds relevant coverage that keyword queries 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: event records that join coverage of one story across languages. What sets Exa apart: search by meaning with page text returned in the same request. 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.