Home / Comparisons / Unzoi vs Newsdata.io
An honest comparisonUnzoi vs Newsdata.io
A high-volume news API sold on breadth of country and category coverage.
Credits are not requests, and the difference compounds
Billing is in credits, and how many articles a credit buys changes with the tier — ten on free, fifty on paid. This means cost per query depends on how much comes back, which is exactly the variable you control least. A query on a quiet day and the same query during a major event consume different amounts of budget, and the second is when you most need it to work. Forecasting requires you to model result volume rather than request volume, and most teams discover this after the first busy month rather than before it.
Capability is tiered, which distorts evaluation
Sentiment, the archive endpoint and the count endpoint unlock at different price points. The practical effect is that the version you evaluate is not the version you deploy, so evaluation tells you about the API's shape but not about whether it solves your problem. Teams routinely build against the free tier, move to Basic, then find the feature they designed around sits at Professional. That is a pricing decision rather than a technical limitation, but it costs you a rewrite either way.
Country filtering is their strongest axis
They expose country as a first-class filter across a very wide list, and they have built the content footprint to match — nearly four thousand programmatic pages covering country and category combinations. If your product is organised around "news from this country in this category", that is a real advantage, and today we cannot match it.
When should I choose Newsdata.io over Unzoi?
Where Newsdata.io is the better choice:
- Wide country and category coverage, and they expose it as first-class filters
- A long historical archive on the top tier
- Sentiment and tagging included rather than sold separately
Choose Newsdata.io if country and category filtering is the centre of your use case and you need it today — that is currently their strongest axis and an honest advantage.
Where an agent-first buyer hits friction
- Capability is tiered: sentiment, archive and count endpoints unlock at different prices, so evaluation does not tell you what production will behave like
- Credits rather than requests means cost per query depends on how many articles come back
- No MCP surface
Does Newsdata.io have an MCP server?
Not as of 2026-07-29. Newsdata.io publishes a REST API and no first-party MCP server, so connecting it to an agent means writing a tool wrapper and keeping it in step with their API as it changes.
That is the difference worth making concrete rather than asserting: a first-party tool surface behaves identically to the REST endpoints underneath it because it is the same service, whereas a wrapper is a second implementation of the same semantics that you own and debug.
What we measured ourselves
Our own observations of their public surface on 2026-07-29, as distinct from the claims above, which are theirs.
| Programmatic pages | 3,915 country x category pages in their sitemap |
|---|---|
| Server-rendered content | 10 words — every page is client-rendered |
| Credit model | Articles per credit varies by tier (10 free, 50 paid) |
What does Newsdata.io cost?
From their pricing page, 2026-07-29. Prices move — theirs is authoritative.
| Plan | Price | Notes |
|---|---|---|
| Free | $0 | 200 credits/day (10 articles each), delayed 12 hours |
| Basic | $199.99/mo | 20,000 credits (50 articles each), 6 months history |
| Professional | $349.99/mo | 50,000 credits, 2 years history |
| Corporate | $1,299.99/mo | 1,000,000 credits, 10 years history |
The bottom line
Newsdata.io wins on the axis it has actually invested in. If your product is organised as “news from this country, in this category”, their country filtering is a genuine advantage over what we offer today and this page should not talk you out of it. The two things to model before signing are the credit unit, which makes your cost a function of how much comes back rather than how often you ask, and the tier at which the capability you designed around unlocks. Both are knowable in advance and both are routinely discovered in the second month instead.
What they advertise
Their published claims, not our measurements — taken from newsdata.io so they can be checked against the source rather than taken on ours.
- Sentiment analysis and AI tags on higher tiers
- Historical archive up to 10 years