Opoint vs Tavily: full comparison for 2026
Quick verdict
Opoint (4.2/5) edges ahead of Tavily (4.0/5) overall. Opoint is the better choice for monitoring platforms and AML teams needing non-English coverage. Tavily is the stronger option for agent developers wanting news results in one tool call. The right pick depends on your budget, how much history you need and whether you need full text.
Opoint vs Tavily: head-to-head summary
| Criterion | Opoint | Tavily |
|---|---|---|
| Founded | 2001 | Not disclosed |
| HQ | Norway; owned by Infomedia (Denmark) | New York and Tel Aviv; part of Nebius |
| Team size | Not publicly disclosed | Part of Nebius |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | Built as a wholesale feed with heavy non-English and local coverage | Prompt-ready extracted content, with integrations for LangChain and LlamaIndex |
| Pricing model | Custom licence | Credits; free monthly allowance; pay-as-you-go |
| Entry price | Custom quote | $30/mo |
| Formats & SDKs | REST API, JSON, XML | REST API, JSON, Python SDK |
| Typical uses | Media monitoring, Risk & compliance, Financial services, Marketing & PR | AI & LLM apps, Research & academia |
Opoint vs Tavily: overview
Opoint
Opoint has supplied news data since 2001 and belongs to Infomedia, the Nordic media-monitoring group owned by the Danish publishers JP/Politiken and Berlingske. It sells itself to monitoring platforms as their data supplier, with 250,000+ sources across 230 jurisdictions and 135 languages, roughly 60% of them non-English (per company website; independently unverifiable). Data arrives through an API or a push feed in JSON, XML or CSV. A separate adverse-media product targets anti-money-laundering (AML) and know-your-customer (KYC) checks, and all pricing is quote-based.
Tavily
Tavily, founded by CEO Rotem Weiss, sells a search API designed for LLM agents. Its topic=news mode limits results to recent news and returns extracted text that can go straight into a prompt. Nebius, the Nasdaq-listed AI cloud company, agreed to buy Tavily in February 2026 (Bloomberg reported a $275 million price) and later said the deal had closed, with the Tavily brand and pricing kept in place. Billing runs on credits: one per basic search, two per advanced search, about $0.008 each on pay-as-you-go, and 1,000 free credits a month. As a search tool it has no news archive, source taxonomy or clustering.
Features: Opoint vs Tavily
| Capability | Opoint | Tavily |
|---|---|---|
| Full article text | ✓ | ✓ |
| Historical archive | ✓ | ✗ |
| NLP enrichment | ✓ | ✗ |
| Story/event clustering | ✗ | ✗ |
| Licensed publisher content | ✗ | ✗ |
| Streaming or webhooks | ✓ | ✗ |
| Free access | ✗ | ✓ |
Formats and SDKs: Opoint vs Tavily
| Format / SDK | Opoint | Tavily |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | N/A | ✓ |
| Node.js SDK | N/A | ✓ |
| Webhooks | N/A | 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: Opoint vs Tavily
| Criterion | Opoint | Tavily |
|---|---|---|
| Entry price | Custom quote | $30/mo |
| Pricing model | Custom licence | Credits; free monthly allowance; pay-as-you-go |
| Access models | Enterprise contract | Free tier, Monthly plans, Pay-as-you-go, Enterprise contract |
| Price transparency | Quote only | Public price |
| Price tier | Enterprise / quote | Budget |
Who each API suits: Opoint vs Tavily
| Dimension | Opoint | Tavily |
|---|---|---|
| Buyer type | Enterprise only | Individuals to enterprise |
| Typical uses | Media monitoring, Risk & compliance, Financial services | AI & LLM apps, Research & academia |
| Example use cases | Powering a media-monitoring product with global coverage. Adverse-media screening for AML and KYC. | Giving a chatbot access to today's news. Research agents that summarise recent coverage. |
| How you get access | Enterprise contract | Free tier |
Opoint vs Tavily: pros and cons
| Opoint | |
|---|---|
| + | About 60% non-English coverage is unusually strong for Europe, Asia and Africa |
| + | Matching articles arrive in under seven minutes on average (per company website) |
| + | Push feeds and CSV or XML output suit platforms that ingest in bulk |
| + | Two decades of supplying monitoring companies |
| - | No public pricing or self-serve developer tier |
| - | Sold to platforms and enterprises, so individual developers are not the audience |
| - | Its owner Infomedia is itself a monitoring vendor, which matters if you compete with it |
| Tavily | |
|---|---|
| + | Ready-made integrations with LangChain, LlamaIndex and other agent frameworks |
| + | 1,000 free credits a month is enough to prototype an agent |
| + | One call returns cleaned content, so there is no separate scraping step |
| + | Nebius ownership brings funding and its own compute infrastructure |
| - | No historical news archive or source-level filtering |
| - | Freshness depends on the underlying search, with no per-source SLA |
| - | Product priorities may shift under Nebius |
Who should choose Opoint?
A typical fit: powering a media-monitoring product with global coverage.
Built as a wholesale feed with heavy non-English and local coverage. Paid access is quote-based. Typical uses: Media monitoring, Risk & compliance, Financial services, Marketing & PR.
Who should choose Tavily?
A typical fit: giving a chatbot access to today's news.
Prompt-ready extracted content, with integrations for LangChain and LlamaIndex. Paid access starts at $30/mo. Typical uses: AI & LLM apps, Research & academia.
Decision matrix: Opoint vs Tavily
| Your situation | Recommended choice |
|---|---|
| You want to start free before paying | Tavily |
| Your budget is at the lower end | Tavily |
| You need full article text in the response | Both |
| You need years of historical news | Opoint |
| You need licensed premium or wire content | Neither; look at Factiva, AP or LexisNexis |
| You are wiring news into an LLM agent | Tavily |
Use case fit: Opoint vs Tavily
| Use case | Opoint fit | Tavily fit | Winner |
|---|---|---|---|
| Media monitoring | Strong | Limited | Opoint |
| Risk & compliance | Strong | Limited | Opoint |
| Financial services | Strong | Limited | Opoint |
| Marketing & PR | Strong | Limited | Opoint |
| AI & LLM apps | Limited | Strong | Tavily |
| Research & academia | Limited | Strong | Tavily |
Verdict: Opoint vs Tavily
Opoint (4.2/5) is the stronger overall choice as a news data source. Built as a wholesale feed with heavy non-English and local coverage.
Tavily (4.0/5) is worth a look if you need research agents that summarise recent coverage. If your situation matches that, Tavily is a competitive option.
Related comparisons
Opoint vs Tavily FAQ
Is Opoint better than Tavily?
Opoint (4.2/5) scores higher overall, but "better" depends on your use case. Opoint's strongest advantage: about 60% non-English coverage is unusually strong for Europe, Asia and Africa. Tavily's strongest advantage: ready-made integrations with LangChain, LlamaIndex and other agent frameworks.
How do Opoint and Tavily differ in pricing?
Opoint: custom licence, priced by quote. Tavily: credits; free monthly allowance; pay-as-you-go, with paid access from $30/mo. Only Tavily offers free access.
Which is better for enterprise: Opoint or Tavily?
Both sell enterprise contracts. Neither carries licensed publisher content, so check copyright terms before republishing anything.
What are the main differences between Opoint and Tavily?
What sets Opoint apart: built as a wholesale feed with heavy non-English and local coverage. What sets Tavily apart: prompt-ready extracted content, with integrations for LangChain and LlamaIndex. They also differ on entry price (Custom quote vs $30/mo) and typical uses (Media monitoring, Risk & compliance vs AI & LLM apps, Research & academia).
Verify all details directly with each API before making a decision.