Exa vs Alpha Vantage News & Sentiment: full comparison for 2026
Quick verdict
Exa (4.2/5) edges ahead of Alpha Vantage News & Sentiment (3.8/5) overall. Exa is the better choice for RAG and agent developers needing semantic news retrieval. Alpha Vantage News & Sentiment is the stronger option for hobby quants wanting news sentiment beside price data. The right pick depends on your budget, how much history you need and whether you need full text.
Exa vs Alpha Vantage News & Sentiment: head-to-head summary
| Criterion | Exa | Alpha Vantage News & Sentiment |
|---|---|---|
| Founded | 2021 | 2017 |
| HQ | San Francisco, USA | Boston, Massachusetts, USA |
| Team size | 51–200 | Not publicly disclosed |
| Rating | 4.2 / 5 | 3.8 / 5 |
| Primary differentiator | Search by meaning with page text returned in the same request | Ticker and topic sentiment scores from the same key as market data |
| Pricing model | Pay per request; free monthly credit | Free key; premium plans by rate limit |
| Entry price | $7 per 1,000 searches | $49.99/mo |
| Formats & SDKs | REST API, JSON, Python SDK | REST API, JSON, CSV |
| Typical uses | AI & LLM apps, Research & academia | Financial services, Research & academia |
Exa vs Alpha Vantage News & Sentiment: overview
Exa
Exa Labs started in San Francisco in 2021 as Metaphor, founded by Will Bryk and Jeff Wang, and raised an $85 million Series B led by Benchmark in September 2025. It runs its own web index searched by meaning, so a query like "startups cutting cloud costs" can match articles that never use those words. Set the category to news and ask for contents, and one request returns cleaned text you can drop into a prompt. As of 2026 search costs $7 per 1,000 requests with contents for the top 10 results included, and new accounts start with $20 of credit. SDKs cover Python and TypeScript, and an official MCP server plugs it into agent tools. It is a search engine at heart, so expect weaker coverage of small regional outlets and fuzzier publication dates than a dedicated news API gives.
Alpha Vantage News & Sentiment
Alpha Vantage was founded in Boston in 2017 by Olivier Porte and Steve Zheng and went through Y Combinator's Summer 2018 batch. Its NEWS_SENTIMENT function returns market news with an overall sentiment score plus per-ticker and per-topic scores, from the same key that serves prices, fundamentals and technical indicators. Many hobby trading projects start here because the free key arrives instantly. Third-party guides describe the free allowance as 25 requests a day at five a minute, and premium plans as starting at $49.99 a month for 75 requests a minute with no daily cap. Commercial use is a separate question, and one source reports commercial licences in the $499 to $2,499 a month range. Responses carry summaries and links; full articles live on the publishers' sites.
Features: Exa vs Alpha Vantage News & Sentiment
| Capability | Exa | Alpha Vantage News & Sentiment |
|---|---|---|
| Full article text | ✓ | ✗ |
| Historical archive | ✗ | ✗ |
| NLP enrichment | ✗ | ✓ |
| Story/event clustering | ✗ | ✗ |
| Official SDK | ✓ | ✗ |
| Streaming or webhooks | ✗ | ✗ |
| Free access | ✓ | ✓ |
Formats and SDKs: Exa vs Alpha Vantage News & Sentiment
| Format / SDK | Exa | Alpha Vantage News & Sentiment |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | ✓ | N/A |
| Node.js SDK | ✓ | N/A |
| Webhooks | N/A | N/A |
| WebSocket | N/A | N/A |
| MCP server | ✓ | ✓ |
| S3/bulk delivery | N/A | N/A |
| BigQuery | N/A | N/A |
Pricing comparison: Exa vs Alpha Vantage News & Sentiment
| Criterion | Exa | Alpha Vantage News & Sentiment |
|---|---|---|
| Entry price | $7 per 1,000 searches | $49.99/mo |
| Pricing model | Pay per request; free monthly credit | Free key; premium plans by rate limit |
| Access models | Free tier, 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: Exa vs Alpha Vantage News & Sentiment
| Dimension | Exa | Alpha Vantage News & Sentiment |
|---|---|---|
| Buyer type | Individuals to enterprise | Individuals to enterprise |
| Typical uses | AI & LLM apps, Research & academia | Financial services, Research & academia |
| Example use cases | Grounding chatbot answers in recent articles. Research agents gathering background on a topic. | Adding a sentiment column to a backtest. Student finance projects. |
| How you get access | Free tier | Free tier |
Exa vs Alpha Vantage News & Sentiment: pros and cons
| Exa | |
|---|---|
| + | Finds relevant coverage that keyword queries miss |
| + | Contents come with results, so there is no second fetch-and-parse step |
| + | An MCP server and Python and TypeScript SDKs are official |
| + | Pay per request with no monthly minimum |
| - | No source taxonomy, sentiment or story clusters |
| - | Publication dates come from crawl metadata and can be off |
| - | Monitoring thousands of queries a day gets expensive |
| Alpha Vantage News & Sentiment | |
|---|---|
| + | Free key with no approval wait |
| + | Sentiment per ticker and per topic in each response |
| + | Prices and fundamentals on the same account |
| + | Premium tiers are sold by rate limit, which makes scaling simple to price |
| - | 25 free requests a day runs out quickly |
| - | Commercial use may need a separate, much pricier licence |
| - | Summaries and links only, no article text |
Who should choose Exa?
A typical fit: grounding chatbot answers in recent articles.
Search by meaning with page text returned in the same request. Paid access starts at $7 per 1,000 searches. Typical uses: AI & LLM apps, Research & academia.
Who should choose Alpha Vantage News & Sentiment?
A typical fit: adding a sentiment column to a backtest.
Ticker and topic sentiment scores from the same key as market data. Paid access starts at $49.99/mo. Typical uses: Financial services, Research & academia.
Decision matrix: Exa vs Alpha Vantage News & Sentiment
| Your situation | Recommended choice |
|---|---|
| You want to start free before paying | Both |
| Your budget is at the lower end | Exa |
| You need full article text in the response | Exa |
| You need years of historical news | Neither offers a deep archive |
| You want an official SDK | Exa |
| You are wiring news into an LLM agent | Exa |
Use case fit: Exa vs Alpha Vantage News & Sentiment
| Use case | Exa fit | Alpha Vantage News & Sentiment fit | Winner |
|---|---|---|---|
| AI & LLM apps | Strong | Limited | Exa |
| Research & academia | Strong | Strong | Both equally |
| Financial services | Limited | Strong | Alpha Vantage News & Sentiment |
Verdict: Exa vs Alpha Vantage News & Sentiment
Exa (4.2/5) is the stronger overall choice as a news data source. Search by meaning with page text returned in the same request.
Alpha Vantage News & Sentiment (3.8/5) is worth a look if you need student finance projects. If your situation matches that, Alpha Vantage News & Sentiment is a competitive option.
Related comparisons
Exa vs Alpha Vantage News & Sentiment FAQ
Is Exa better than Alpha Vantage News & Sentiment?
Exa (4.2/5) scores higher overall, but "better" depends on your use case. Exa's strongest advantage: finds relevant coverage that keyword queries miss. Alpha Vantage News & Sentiment's strongest advantage: free key with no approval wait.
How do Exa and Alpha Vantage News & Sentiment differ in pricing?
Exa: pay per request; free monthly credit, with paid access from $7 per 1,000 searches. Alpha Vantage News & Sentiment: free key; premium plans by rate limit, with paid access from $49.99/mo. Both offer some free access for testing.
Which is better for enterprise: Exa or Alpha Vantage News & Sentiment?
Both sell enterprise contracts. Neither carries licensed publisher content, so check copyright terms before republishing anything.
What are the main differences between Exa and Alpha Vantage News & Sentiment?
What sets Exa apart: search by meaning with page text returned in the same request. What sets Alpha Vantage News & Sentiment apart: ticker and topic sentiment scores from the same key as market data. They also differ on entry price ($7 per 1,000 searches vs $49.99/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.