Webz.io vs Tavily: full comparison for 2026
Quick verdict
Webz.io (4.2/5) edges ahead of Tavily (4.1/5) overall. Webz.io is the better choice for data engineers backfilling years of news for datasets. Tavily is the stronger option for agent builders adding a news tool in a few lines. The right pick depends on your budget, how much history you need and whether you need full text.
Webz.io vs Tavily: head-to-head summary
| Criterion | Webz.io | Tavily |
|---|---|---|
| Founded | 2014 | Not disclosed |
| HQ | Tel Aviv area, Israel | New York and Tel Aviv; part of Nebius |
| Team size | 51–200 | Part of Nebius |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | History back to 2008 and the widest claimed source count here | Built-in LangChain and LlamaIndex integrations that return prompt-ready text |
| Pricing model | Usage-based credits; pay-as-you-go or subscription | Credits; free monthly allowance; pay-as-you-go |
| Entry price | Pay-as-you-go | $30/mo |
| Formats & SDKs | REST API, JSON, Python SDK | REST API, JSON, Python SDK |
| Typical uses | Risk & compliance, Media monitoring, AI & LLM apps, Research & academia | AI & LLM apps, Research & academia |
Webz.io vs Tavily: overview
Webz.io
Webz.io was founded in 2014 as Webhose.io and is run from the Tel Aviv area by co-founder and CEO Ran Geva. Its News API claims 3.5 million new articles a day from 350,000+ sources in 170+ languages (per company website; independently unverifiable), and the same token can query blogs, forums, reviews and dark-web feeds. For developers it is powerful but not quick to learn: queries use a field syntax (title:, language:, sentiment:) and anything older than 30 days goes through a separate archive endpoint that reaches 2008. Each account gets $5 of free credit a month and SDKs for Python, Node and Java. The default rate limit of one request per second is the thing to plan around.
Tavily
Tavily, founded by CEO Rotem Weiss, is a search API designed to be called by LLM agents, and its topic=news mode limits results to recent coverage with extracted text ready for a prompt. It is the quickest way on this list to give a LangChain or LlamaIndex agent a news tool, since both frameworks ship Tavily integrations. Nebius, the Nasdaq-listed AI cloud company, agreed to buy Tavily in February 2026 (Bloomberg put the price at $275 million) and later said the deal had closed, keeping the brand and pricing. Credits cost about $0.008 each on pay-as-you-go, a basic search uses one and an advanced search two, and 1,000 credits a month are free. Because it is a search tool, there is no archive, source list or clustering to work with.
Features: Webz.io vs Tavily
| Capability | Webz.io | Tavily |
|---|---|---|
| Full article text | ✓ | ✓ |
| Historical archive | ✓ | ✗ |
| NLP enrichment | ✓ | ✗ |
| Story/event clustering | ✗ | ✗ |
| Official SDK | ✓ | ✓ |
| Streaming or webhooks | ✓ | ✗ |
| Free access | ✓ | ✓ |
Formats and SDKs: Webz.io vs Tavily
| Format / SDK | Webz.io | Tavily |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | ✓ | ✓ |
| Node.js SDK | ✓ | ✓ |
| Webhooks | N/A | N/A |
| WebSocket | N/A | N/A |
| MCP server | N/A | ✓ |
| S3/bulk delivery | ✓ | N/A |
| BigQuery | N/A | N/A |
Pricing comparison: Webz.io vs Tavily
| Criterion | Webz.io | Tavily |
|---|---|---|
| Entry price | Pay-as-you-go | $30/mo |
| Pricing model | Usage-based credits; pay-as-you-go or subscription | Credits; free monthly allowance; pay-as-you-go |
| Access models | Free tier, Pay-as-you-go, Enterprise contract | Free tier, Monthly plans, Pay-as-you-go, Enterprise contract |
| Price transparency | Public price | Public price |
| Price tier | Budget | Budget |
Who each API suits: Webz.io vs Tavily
| Dimension | Webz.io | Tavily |
|---|---|---|
| Buyer type | Individuals to enterprise | Individuals to enterprise |
| Typical uses | Risk & compliance, Media monitoring, AI & LLM apps | AI & LLM apps, Research & academia |
| Example use cases | Building a training or evaluation dataset from a decade of news. Threat feeds that combine news with forum chatter. | Letting an assistant answer questions about today's news. Agents that summarise what was published this week. |
| How you get access | Free tier | Free tier |
Webz.io vs Tavily: pros and cons
| Webz.io | |
|---|---|
| + | The longest web-crawled archive among the commercial APIs here |
| + | $5 of monthly credit lets you run real queries with no card |
| + | Satire, bias and fake-news flags on articles make filtering easier |
| + | One account also covers forums, reviews and blogs |
| - | One request per second by default slows bulk jobs unless you negotiate more |
| - | The field syntax takes time to learn |
| - | Large contracts are expensive, with Vendr reporting a median annual spend near $237,500 |
| Tavily | |
|---|---|
| + | Agent frameworks already support it, so setup is mostly an API key |
| + | 1,000 free credits a month cover a prototype |
| + | Extracted content arrives with results, with no separate scraper |
| + | Nebius ownership adds funding and compute behind the service |
| - | No archive, so historical questions go unanswered |
| - | No control over which sources are searched |
| - | Roadmap may change under new ownership |
Who should choose Webz.io?
A typical fit: building a training or evaluation dataset from a decade of news.
History back to 2008 and the widest claimed source count here. Paid access starts at Pay-as-you-go. Typical uses: Risk & compliance, Media monitoring, AI & LLM apps, Research & academia.
Who should choose Tavily?
A typical fit: letting an assistant answer questions about today's news.
Built-in LangChain and LlamaIndex integrations that return prompt-ready text. Paid access starts at $30/mo. Typical uses: AI & LLM apps, Research & academia.
Decision matrix: Webz.io vs Tavily
| Your situation | Recommended choice |
|---|---|
| You want to start free before paying | Both |
| Your budget is at the lower end | Webz.io |
| You need full article text in the response | Both |
| You need years of historical news | Webz.io |
| You want an official SDK | Both |
| You are wiring news into an LLM agent | Tavily |
Use case fit: Webz.io vs Tavily
| Use case | Webz.io fit | Tavily fit | Winner |
|---|---|---|---|
| Risk & compliance | Strong | Limited | Webz.io |
| Media monitoring | Strong | Limited | Webz.io |
| AI & LLM apps | Strong | Strong | Both equally |
| Research & academia | Strong | Strong | Both equally |
Verdict: Webz.io vs Tavily
Webz.io (4.2/5) is the stronger overall choice as a news data source. History back to 2008 and the widest claimed source count here.
Tavily (4.1/5) is worth a look if you need agents that summarise what was published this week. If your situation matches that, Tavily is a competitive option.
Related comparisons
Webz.io vs Tavily FAQ
Is Webz.io better than Tavily?
Webz.io (4.2/5) scores higher overall, but "better" depends on your use case. Webz.io's strongest advantage: the longest web-crawled archive among the commercial APIs here. Tavily's strongest advantage: agent frameworks already support it, so setup is mostly an API key.
How do Webz.io and Tavily differ in pricing?
Webz.io: usage-based credits; pay-as-you-go or subscription, with paid access from Pay-as-you-go. Tavily: credits; free monthly allowance; pay-as-you-go, with paid access from $30/mo. Both offer some free access for testing.
Which is better for enterprise: Webz.io or Tavily?
Both sell enterprise contracts. Neither carries licensed publisher content, so check copyright terms before republishing anything.
What are the main differences between Webz.io and Tavily?
What sets Webz.io apart: history back to 2008 and the widest claimed source count here. What sets Tavily apart: built-in LangChain and LlamaIndex integrations that return prompt-ready text. They also differ on entry price (Pay-as-you-go vs $30/mo) and typical uses (Risk & compliance, Media monitoring vs AI & LLM apps, Research & academia).
Verify all details directly with each API before making a decision.