Tavily vs Massive (ex-Polygon.io) News: full comparison for 2026
Quick verdict
Tavily (4.1/5) edges ahead of Massive (ex-Polygon.io) News (3.8/5) overall. Tavily is the better choice for agent builders adding a news tool in a few lines. Massive (ex-Polygon.io) News is the stronger option for trading-app developers already using Polygon or Massive data. The right pick depends on your budget, how much history you need and whether you need full text.
Tavily vs Massive (ex-Polygon.io) News: head-to-head summary
| Criterion | Tavily | Massive (ex-Polygon.io) News |
|---|---|---|
| Founded | Not disclosed | 2016 |
| HQ | New York and Tel Aviv; part of Nebius | Atlanta, Georgia, USA |
| Team size | Part of Nebius | Not publicly disclosed |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Primary differentiator | Built-in LangChain and LlamaIndex integrations that return prompt-ready text | Per-ticker sentiment with a written reason, included in stock data plans |
| Pricing model | Credits; free monthly allowance; pay-as-you-go | Monthly plans per asset class |
| Entry price | $30/mo | $29/mo |
| Formats & SDKs | REST API, JSON, Python SDK | REST API, JSON, WebSocket |
| Typical uses | AI & LLM apps, Research & academia | Financial services, Research & academia |
Tavily vs Massive (ex-Polygon.io) News: overview
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.
Massive (ex-Polygon.io) News
Massive is the name Polygon.io took on October 30, 2025. The company was founded in Atlanta around 2016 by Quinton Pike, and old api.polygon.io endpoints keep working beside the new api.massive.com base. Its ticker news endpoint returns recent articles for a symbol with summaries, publisher details and an insights array giving a sentiment label and a one-sentence reason for each ticker mentioned. Sentiment only exists for articles published after July 2, 2024. Ticker news is included in every Stocks plan: the free Basic tier reaches two years of history, and Stocks Starter costs $29 a month. Official SDKs cover Python, Go, JavaScript and more, and flat files can be pulled from S3.
Features: Tavily vs Massive (ex-Polygon.io) News
| Capability | Tavily | Massive (ex-Polygon.io) News |
|---|---|---|
| Full article text | ✓ | ✗ |
| Historical archive | ✗ | ✓ |
| NLP enrichment | ✗ | ✓ |
| Story/event clustering | ✗ | ✗ |
| Official SDK | ✓ | ✓ |
| Streaming or webhooks | ✗ | ✗ |
| Free access | ✓ | ✓ |
Formats and SDKs: Tavily vs Massive (ex-Polygon.io) News
| Format / SDK | Tavily | Massive (ex-Polygon.io) News |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | ✓ | ✓ |
| Node.js SDK | ✓ | ✓ |
| Webhooks | N/A | N/A |
| WebSocket | N/A | ✓ |
| MCP server | ✓ | N/A |
| S3/bulk delivery | N/A | ✓ |
| BigQuery | N/A | N/A |
Pricing comparison: Tavily vs Massive (ex-Polygon.io) News
| Criterion | Tavily | Massive (ex-Polygon.io) News |
|---|---|---|
| Entry price | $30/mo | $29/mo |
| Pricing model | Credits; free monthly allowance; pay-as-you-go | Monthly plans per asset class |
| Access models | Free tier, Monthly plans, Pay-as-you-go, Enterprise contract | Free tier, Monthly plans, Enterprise contract |
| Price transparency | Public price | Public price |
| Price tier | Budget | Budget |
Who each API suits: Tavily vs Massive (ex-Polygon.io) News
| Dimension | Tavily | Massive (ex-Polygon.io) News |
|---|---|---|
| Buyer type | Individuals to enterprise | Individuals to enterprise |
| Typical uses | AI & LLM apps, Research & academia | Financial services, Research & academia |
| Example use cases | Letting an assistant answer questions about today's news. Agents that summarise what was published this week. | News beside charts in a trading app. Explaining price moves with sentiment reasons. |
| How you get access | Free tier | Free tier |
Tavily vs Massive (ex-Polygon.io) News: pros and cons
| 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 |
| Massive (ex-Polygon.io) News | |
|---|---|
| + | News comes with every Stocks plan, including the free one |
| + | Sentiment includes a short explanation you can show users |
| + | Mature SDKs and WebSocket streams for prices |
| + | Old Polygon code keeps working after the rebrand |
| - | Sentiment is missing for anything before July 2024 |
| - | Covers listed companies only |
| - | Each asset class is billed separately |
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.
Who should choose Massive (ex-Polygon.io) News?
A typical fit: news beside charts in a trading app.
Per-ticker sentiment with a written reason, included in stock data plans. Paid access starts at $29/mo. Typical uses: Financial services, Research & academia.
Decision matrix: Tavily vs Massive (ex-Polygon.io) News
| Your situation | Recommended choice |
|---|---|
| You want to start free before paying | Both |
| Your budget is at the lower end | Massive (ex-Polygon.io) News |
| You need full article text in the response | Tavily |
| You need years of historical news | Massive (ex-Polygon.io) News |
| You want an official SDK | Both |
| You are wiring news into an LLM agent | Tavily |
Use case fit: Tavily vs Massive (ex-Polygon.io) News
| Use case | Tavily fit | Massive (ex-Polygon.io) News fit | Winner |
|---|---|---|---|
| AI & LLM apps | Strong | Limited | Tavily |
| Research & academia | Strong | Strong | Both equally |
| Financial services | Limited | Strong | Massive (ex-Polygon.io) News |
Verdict: Tavily vs Massive (ex-Polygon.io) News
Tavily (4.1/5) is the stronger overall choice as a news data source. Built-in LangChain and LlamaIndex integrations that return prompt-ready text.
Massive (ex-Polygon.io) News (3.8/5) is worth a look if you need explaining price moves with sentiment reasons. If your situation matches that, Massive (ex-Polygon.io) News is a competitive option.
Related comparisons
Tavily vs Massive (ex-Polygon.io) News FAQ
Is Tavily better than Massive (ex-Polygon.io) News?
Tavily (4.1/5) scores higher overall, but "better" depends on your use case. Tavily's strongest advantage: agent frameworks already support it, so setup is mostly an API key. Massive (ex-Polygon.io) News's strongest advantage: news comes with every Stocks plan, including the free one.
How do Tavily and Massive (ex-Polygon.io) News differ in pricing?
Tavily: credits; free monthly allowance; pay-as-you-go, with paid access from $30/mo. Massive (ex-Polygon.io) News: monthly plans per asset class, with paid access from $29/mo. Both offer some free access for testing.
Which is better for enterprise: Tavily or Massive (ex-Polygon.io) News?
Both sell enterprise contracts. Neither carries licensed publisher content, so check copyright terms before republishing anything.
What are the main differences between Tavily and Massive (ex-Polygon.io) News?
What sets Tavily apart: built-in LangChain and LlamaIndex integrations that return prompt-ready text. What sets Massive (ex-Polygon.io) News apart: per-ticker sentiment with a written reason, included in stock data plans. They also differ on entry price ($30/mo vs $29/mo) and typical uses (AI & LLM apps, Research & academia vs Financial services, Research & academia).
Verify all details directly with each API before making a decision.