Best News API for Developers

NewsCatcher vs Exa: full comparison for 2026

Quick verdict

NewsCatcher (4.7/5) edges ahead of Exa (4.2/5) overall. NewsCatcher is the better choice for developers who want clean, deduplicated news without writing post-processing. 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.

NewsCatcher vs Exa: head-to-head summary

Criterion NewsCatcher Exa
Founded 2020 2021
HQ Middletown, Delaware, USA (registered); team mostly in Europe San Francisco, USA
Team size 11–50 51–200
Rating 4.7 / 5 4.2 / 5
Primary differentiator Summaries, story clusters, entities and geotags arrive in the response, so the processing code you would otherwise write is already done Search by meaning with page text returned in the same request
Pricing model Custom quote; pay-as-you-go trial Pay per request; free monthly credit
Entry price Custom quote $7 per 1,000 searches
Formats & SDKs REST API, JSON, Python SDK REST API, JSON, Python SDK
Typical uses AI & LLM apps, Media monitoring, Risk & compliance, Financial services AI & LLM apps, Research & academia

NewsCatcher vs Exa: overview

NewsCatcher

Most news APIs hand you raw articles and leave the cleanup to you. NewsCatcher, a Y Combinator Summer 2022 company founded by Artem Bugara and Maksym Sugonyaka (registered in Delaware, team mostly in Europe), does that cleanup on its side: articles come back summarised, deduplicated, clustered into stories and tagged with entities. Version 3 of the API covers 140,000+ sources in 50+ languages with more than 2 billion articles since 2019 (per company website; independently unverifiable), and a separate Local News endpoint adds a location and a confidence score to each story. Official SDKs exist for Python, Node and Java, and the company reports SOC 2 Type II and a 99.95% uptime SLA. The catch for a solo developer is price discovery: there is a pay-as-you-go trial, but production plans are quoted by sales.

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: NewsCatcher vs Exa

Capability NewsCatcher Exa
Full article text ✓ ✓
Historical archive ✓ ✗
NLP enrichment ✓ ✗
Story/event clustering ✓ ✗
Official SDK ✓ ✓
Streaming or webhooks ✓ ✗
Free access ✓ ✓

Formats and SDKs: NewsCatcher vs Exa

Format / SDK NewsCatcher 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
BigQuery N/A N/A

Pricing comparison: NewsCatcher vs Exa

Criterion NewsCatcher Exa
Entry price Custom quote $7 per 1,000 searches
Pricing model Custom quote; pay-as-you-go trial Pay per request; free monthly credit
Access models Free trial, Pay-as-you-go, Enterprise contract Free tier, Pay-as-you-go, Enterprise contract
Price transparency Quote only Public price
Price tier Enterprise / quote Budget

Who each API suits: NewsCatcher vs Exa

Dimension NewsCatcher Exa
Buyer type Individuals to enterprise Individuals to enterprise
Typical uses AI & LLM apps, Media monitoring, Risk & compliance AI & LLM apps, Research & academia
Example use cases Retrieval for an AI agent that should not see five copies of the same story. A regional news or local-risk feature that needs geotagged articles. Grounding chatbot answers in recent articles. Research agents gathering background on a topic.
How you get access Free trial Free tier

NewsCatcher vs Exa: pros and cons

NewsCatcher
+ Deduplication and story clustering run server-side, so you skip writing your own similarity matching
+ Three official SDKs (Python, Node, Java) plus webhooks and S3 delivery
+ The Local News endpoint returns a place name with a 0–10 confidence score per article
+ SOC 2 Type II and an uptime SLA make the security questionnaire shorter when the project goes to production
+ It publishes a recall comparison against other APIs, though the vendor ran the test itself
- You cannot see production prices without talking to sales
- History begins in 2019, so long backfills need another source
- A small company is behind the enterprise SLA
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 NewsCatcher?

A typical fit: retrieval for an AI agent that should not see five copies of the same story.

Summaries, story clusters, entities and geotags arrive in the response, so the processing code you would otherwise write is already done. Paid access is quote-based. Typical uses: AI & LLM apps, Media monitoring, Risk & compliance, Financial services.

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: NewsCatcher 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 NewsCatcher
You want an official SDK Both
You are wiring news into an LLM agent Both

Use case fit: NewsCatcher vs Exa

Use case NewsCatcher fit Exa fit Winner
AI & LLM apps Strong Strong Both equally
Media monitoring Strong Limited NewsCatcher
Risk & compliance Strong Limited NewsCatcher
Financial services Strong Limited NewsCatcher
Research & academia Limited Strong Exa

Verdict: NewsCatcher vs Exa

NewsCatcher (4.7/5) is the stronger overall choice as a news data source. Summaries, story clusters, entities and geotags arrive in the response, so the processing code you would otherwise write is already done.

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

NewsCatcher vs Exa FAQ

Is NewsCatcher better than Exa?

NewsCatcher (4.7/5) scores higher overall, but "better" depends on your use case. NewsCatcher's strongest advantage: deduplication and story clustering run server-side, so you skip writing your own similarity matching. Exa's strongest advantage: finds relevant coverage that keyword queries miss.

How do NewsCatcher and Exa differ in pricing?

NewsCatcher: custom quote; pay-as-you-go trial, priced by quote. 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: NewsCatcher or Exa?

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

What are the main differences between NewsCatcher and Exa?

What sets NewsCatcher apart: Summaries, story clusters, entities and geotags arrive in the response, so the processing code you would otherwise write is already done. What sets Exa apart: search by meaning with page text returned in the same request. They also differ on entry price (Custom quote vs $7 per 1,000 searches) and typical uses (AI & LLM apps, Media monitoring vs AI & LLM apps, Research & academia).

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