Perigon vs Tavily: full comparison for 2026
Quick verdict
Perigon (4.5/5) edges ahead of Tavily (4.0/5) overall. Perigon is the better choice for startups wanting enriched news with transparent tiers. 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.
Perigon vs Tavily: head-to-head summary
| Criterion | Perigon | Tavily |
|---|---|---|
| Founded | 2022 | Not disclosed |
| HQ | Austin, Texas, USA | New York and Tel Aviv; part of Nebius |
| Team size | 11–50 | Part of Nebius |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Primary differentiator | Published plans from $25 with enrichment and saved-query monitors included | Prompt-ready extracted content, with integrations for LangChain and LlamaIndex |
| Pricing model | Monthly plans; add-ons for real-time and volume | Credits; free monthly allowance; pay-as-you-go |
| Entry price | $25/mo | $30/mo |
| Formats & SDKs | REST API, JSON, Python SDK | REST API, JSON, Python SDK |
| Typical uses | AI & LLM apps, Media monitoring, Risk & compliance, Marketing & PR | AI & LLM apps, Research & academia |
Perigon vs Tavily: overview
Perigon
Perigon was founded in 2022 by Joshua Dziabiak and Josh Rickel, is based in Austin, Texas, and closed a $5 million seed round led by LiveOak Ventures in February 2024. The API collects from more than 230,000 sources (per company website; independently unverifiable) and returns articles with entities, topics, summaries and story clusters, plus Monitors that run saved queries on a schedule. All three plans are public: Individual at $25 a month for personal use, Startup at $250 with limited commercial rights, and Commercial at $1,250 with real-time data, an SLA and SSO. Below the Commercial tier, data carries a one-hour delay unless you buy the real-time add-on.
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: Perigon vs Tavily
| Capability | Perigon | Tavily |
|---|---|---|
| Full article text | ✓ | ✓ |
| Historical archive | ✓ | ✗ |
| NLP enrichment | ✓ | ✗ |
| Story/event clustering | ✓ | ✗ |
| Licensed publisher content | ✗ | ✗ |
| Streaming or webhooks | ✓ | ✗ |
| Free access | ✓ | ✓ |
Formats and SDKs: Perigon vs Tavily
| Format / SDK | Perigon | Tavily |
|---|---|---|
| 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: Perigon vs Tavily
| Criterion | Perigon | Tavily |
|---|---|---|
| Entry price | $25/mo | $30/mo |
| Pricing model | Monthly plans; add-ons for real-time and volume | Credits; free monthly allowance; pay-as-you-go |
| Access models | Free trial, Monthly plans, 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: Perigon vs Tavily
| Dimension | Perigon | Tavily |
|---|---|---|
| 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 | A startup building a news-aware product that needs commercial rights early. Brand or risk alerts driven by saved searches. | Giving a chatbot access to today's news. Research agents that summarise recent coverage. |
| How you get access | Free trial | Free tier |
Perigon vs Tavily: pros and cons
| Perigon | |
|---|---|
| + | Even the $25 tier returns entity and topic data instead of bare headlines |
| + | Monitors turn a saved query into a recurring alert without extra code |
| + | The Commercial tier bundles a 10+ year archive, an SLA and SSO in one price |
| + | License terms spell out that you are buying the structured data, which helps legal review |
| - | Real-time data costs extra below the $1,250 Commercial plan; otherwise expect a one-hour delay |
| - | Request quotas are tight for the price, with 10,000 a month on Startup |
| - | The license does not cover republishing full article text |
| 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 Perigon?
A typical fit: a startup building a news-aware product that needs commercial rights early.
Published plans from $25 with enrichment and saved-query monitors included. Paid access starts at $25/mo. Typical uses: AI & LLM apps, Media monitoring, Risk & compliance, 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: Perigon vs Tavily
| Your situation | Recommended choice |
|---|---|
| You want to start free before paying | Both |
| Your budget is at the lower end | Perigon |
| You need full article text in the response | Both |
| You need years of historical news | Perigon |
| You need licensed premium or wire content | Neither; look at Factiva, AP or LexisNexis |
| You are wiring news into an LLM agent | Both |
Use case fit: Perigon vs Tavily
| Use case | Perigon fit | Tavily fit | Winner |
|---|---|---|---|
| AI & LLM apps | Strong | Strong | Both equally |
| Media monitoring | Strong | Limited | Perigon |
| Risk & compliance | Strong | Limited | Perigon |
| Marketing & PR | Strong | Limited | Perigon |
| Research & academia | Limited | Strong | Tavily |
Verdict: Perigon vs Tavily
Perigon (4.5/5) is the stronger overall choice as a news data source. Published plans from $25 with enrichment and saved-query monitors included.
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
Perigon vs Tavily FAQ
Is Perigon better than Tavily?
Perigon (4.5/5) scores higher overall, but "better" depends on your use case. Perigon's strongest advantage: even the $25 tier returns entity and topic data instead of bare headlines. Tavily's strongest advantage: ready-made integrations with LangChain, LlamaIndex and other agent frameworks.
How do Perigon and Tavily differ in pricing?
Perigon: monthly plans; add-ons for real-time and volume, with paid access from $25/mo. 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: Perigon or Tavily?
Both sell enterprise contracts. Neither carries licensed publisher content, so check copyright terms before republishing anything.
What are the main differences between Perigon and Tavily?
What sets Perigon apart: published plans from $25 with enrichment and saved-query monitors included. What sets Tavily apart: prompt-ready extracted content, with integrations for LangChain and LlamaIndex. They also differ on entry price ($25/mo vs $30/mo) 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.