What Does a Financial Data API Cost?
August 28, 2026
Paid access to a financial data API starts at about $29 per month, sits between $49 and $99 for most working developers, and reaches $199 to $329 once you need heavy request throughput. Every vendor covered below also runs a free tier. Those entry prices cluster so tightly that the monthly figure rarely decides anything; what separates one $29 plan from another is the unit each vendor rations, and that is where a project either fits comfortably or stops working.
All figures below were read from each vendor’s own pricing page in August 2026. Pricing moves, so treat the numbers as a snapshot and check before you buy.
What do the entry tiers cost?
| Vendor | Free tier | Entry paid tier | What the entry tier gives you |
|---|---|---|---|
| Twelve Data | 800 requests/day | $29/month | 55 API credits per minute, no daily cap |
| Massive (formerly Polygon.io) | 5 calls/minute, 2 years of history | $29/month | Unlimited API calls, 5 years of history |
| xfinlink | 100 requests/day, 1 company per call, 1 year of history | $29/month | 10,000 requests/day, up to 100 companies per call, full history |
| Alpha Vantage | 25 requests/day | $49.99/month | 75 requests per minute, no daily cap |
Higher tiers scale the same dimension each vendor started with. Alpha Vantage sells request rate: $99.99 buys 150 requests per minute, $149.99 buys 300, $199.99 buys 600, and $249.99 buys 1,200. Twelve Data does the same with credits, moving from 55 per minute on Grow to 610 on Pro at $99 and 2,584 on Ultra at $329. Massive sells history depth alongside its unlimited call allowance: $79 extends the window to 10 years and $199 to more than 20. xfinlink scales request volume and batch size together, with 50,000 requests and 500 companies per call at $79.
Why the sticker price is not the cost
Two plans at the same price can differ by two orders of magnitude in what they let you finish, because vendors ration different things.
Request rate limits how fast you may ask. Daily quotas limit how often. Batch size limits how much arrives per answer, and history depth limits how far back the answer goes. A plan advertising unlimited API calls still forces 500 round trips to collect 500 companies if it returns one company per call, and a plan with a modest daily quota finishes the same job in five calls if each one accepts 100 companies.
Rate limits are the constraint people notice, since the errors are loud. Batch size is the one that quietly sets the size of the bill, because it decides how many requests the work costs in the first place.
How many requests does a real job need?
Consider a common task: five years of daily closing prices for the S&P 500.
At one company per call, that is 500 requests. Against Alpha Vantage’s free tier of 25 requests per day, the job takes twenty days. Against its $49.99 tier at 75 requests per minute, the job clears in under ten minutes, and the subscription was necessary only because of how the data is packaged, not because of how much data was wanted.
At 100 companies per call, the same task is 5 requests. It fits inside a free daily allowance of 100 and finishes in the time it takes to run the script once.
The arithmetic matters more than the price when the work is cross-sectional. Screening, factor construction, backtesting an index, and building a machine-learning panel all pull hundreds of companies at once, and all of them multiply by the batch size the vendor allows. Charting one ticker at a time does not, which is why quote-driven applications and research workloads reach opposite conclusions about which plan is cheap.
What are the free tiers actually good for?
Twelve Data offers the most generous free allowance of the four, at 800 requests per day. That covers a personal dashboard, a small watchlist, or an evening of exploratory work without a card on file.
Massive’s free tier caps calls at 5 per minute and history at 2 years, which suits live-quote experiments more than historical research. Alpha Vantage’s 25 requests per day is enough to test that the response format matches what you expected and little else. The xfinlink free tier allows 100 requests per day at one company per call with a year of history, so it answers whether the data is right for you rather than serving as a working allowance.
Free tiers are evaluation tools. Treating one as production infrastructure is where most cost surprises begin, and it is worth pricing the paid tier you would need before you build against the free one. A fuller breakdown sits in free stock market data APIs.
When do you need redistribution rights?
Standard subscriptions cover internal use: your research, your models, your screens. Showing that data to your own users is a different licence, and it is usually the line where pricing changes character.
Massive’s individual plans are marked for individual use. xfinlink prices redistribution explicitly at $249 per month, which includes end-user display rights along with 500,000 requests per day and batches of up to 5,000 companies. If you are building something other people will look at, check the licence before the rate limits, because a plan that is technically sufficient can still be contractually wrong.
Scraping a free source instead does not avoid this question. It moves the licensing problem to a place where the terms are less explicit and the data has no guarantee of being there next month, a point covered in whether Yahoo Finance data can be used commercially.
Which one should you pick?
Match the plan to the shape of your work rather than to the headline price.
If you make many small requests for individual companies in real time, Massive’s unlimited calls at $29 is the natural fit. If you need very high per-minute throughput and are willing to pay for it, Alpha Vantage sells that dimension the most directly. For casual, low-volume use that never needs to be paid for, Twelve Data’s 800 free daily requests goes furthest.
For cross-sectional research, the calculation is different, and batch size and history depth decide it. Pulling 100 companies per call against full history from a $29 tier turns jobs that would otherwise need a mid-tier subscription into a handful of requests, which is the case on xfinlink pricing. Data comes from SEC EDGAR public filings and market data, with point-in-time index membership, entity resolution across ticker changes, and coverage of insider transactions and institutional holdings included at that tier. The documentation lists the full field surface.
Work out how many companies your job touches at once and how far back it reaches. Those two numbers pick the plan; the monthly price will follow.
FAQ
Is there a genuinely free financial data API?
Yes, several. Twelve Data allows 800 requests per day and xfinlink allows 100, both without a card. Free tiers are sized for evaluation and small personal projects, not for production workloads.
Does a higher price mean better data?
No. Price tracks throughput and licensing far more closely than it tracks accuracy or coverage. A $249 plan and a $29 plan from the same vendor usually serve identical numbers.
What should a backtest budget for?
Count the companies in your universe and the years of history you need. If the vendor caps history below your window, no subscription tier fixes it, and if batch size is one company per call, your request count equals your universe size on every rebuild.
Why did Polygon.io become Massive?
The polygon.io pricing page redirects to massive.com as of August 2026. Existing documentation and tutorials still refer to the old name.
Built with xfinlink — free financial data API for Python. pip install -U xfinlink
pip install -U xfinlink