Head-to-head · Apis Data Services
Massive (formerly Polygon.io) vs Apple WeatherKit
Massive (formerly Polygon.io) leads on 1 check, Apple WeatherKit on 0, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreMassive (formerly Polygon.io) · 9.5/10
- Lowest starting priceMassive (formerly Polygon.io) · $29/mo
- Free planboth
Massive (formerly Polygon.io) scores higher on our rubric for apis data services: 9.5 against 6.7 out of 10; our editors rank them #1 and #7.
Massive (formerly Polygon.io) is cheaper to start at $29/mo against $49.99/mo.
Massive (formerly Polygon.io) is the better fit for developers needing broad financial market data. Apple WeatherKit is the better fit for apple-platform teams building weather applications.
- Massive (formerly Polygon.io) fits best
Developers needing broad financial market data
- Apple WeatherKit fits best
Apple-platform teams building weather applications
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Side by side
| Feature | Massive (formerly Polygon.io) 9.5/10 Visit ↗ | Apple WeatherKit 6.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.5 | 6.7 |
| Ranking | #1 in Apis Data Services | #7 in Apis Data Services |
| Best for | Developers needing broad financial market data | Apple-platform teams building weather applications |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $29/mo (best) | $49.99/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Mobile |
| Support | Email, Docs | Phone, Email, Community |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Massive (formerly Polygon.io) 2/3 · Apple WeatherKit 2/3 | ||
| Historical data | ✓ | ✓ |
| Webhooks | Not published | Not published |
| Official SDKs | ✓ | ✓ |
| Specs | ||
| Monthly request limit | Not published | 1e+06 requests/mo |
| Rate limit | Not published | Not published |
| API style | Rest | Rest |
| Data coverage | Global | Global |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Massive (formerly Polygon.io) provides financial market data for developers building trading applications, analytics tools, and other financial products. Its coverage spans stocks, options, futures, indices, forex, crypto, and economics,… Read the review → |
WeatherKit provides weather data for apps and services, with current conditions, hourly and daily forecasts, historical statistics, and comparisons. It suits teams building weather features for Apple platforms, while its REST API also… Read the review → |
Strengths and trade-offs
Massive (formerly Polygon.io) — where it wins
- Covers stocks, options, futures, indices, forex, crypto, and economics
- Offers REST, WebSocket streaming, and historical flat-file downloads
- Stocks Basic is free; paid Stocks plans start at $29 per month
Where it doesn't
- Stocks Basic is limited to 5 API calls per minute
- Stocks Starter and Developer provide 15-minute delayed data
- Plan prices shown apply to individual Stocks plans, not business plans
Apple WeatherKit — where it wins
- Combines current conditions, hourly and daily forecasts, and historical statistics
- Offers Swift APIs for Apple platforms and REST APIs for other platforms
- Includes alerts and next-hour precipitation forecasts in select regions
Where it doesn't
- The included 500,000 monthly calls require Apple Developer Program membership
- The first paid quota is $49.99 per month for 1 million calls
- Alerts and minute-by-minute precipitation are limited to select regions
- Massive (formerly Polygon.io)9.5/10 · Free plan · paid from $29/mo
Broad market data with REST, streaming, and bulk downloads for developer-built finance products.
Visit MassiveFull verdict → - Apple WeatherKit6.7/10 · Free plan · paid from $49.99/mo
A weather data API for Apple-platform teams, with REST access for other platforms.
Try Apple WeatherKitFull verdict →
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All apis data services comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
Last updated · How we research and update







