Visual Crossing
Visual Crossing Corporation · Ranked #5 of 7 in Weather APIs
Records-based metered API strong on historical and timeline data, with a simple per-record pricing model and analyst-friendly tooling.
Historical & timeline weather data

Overview
Visual Crossing is a developer-focused weather data provider whose flagship Timeline Weather API consolidates geocoding, 50+ years of global historical observations, real-time conditions, 15-day forecasts, and climate statistics behind a single REST endpoint. Its core differentiator is a unified record-based query model: instead of juggling separate endpoints for current, forecast, and history, a developer passes a location (address, lat/long, postal code) and a date range, and the API geocodes, retrieves, and interpolates station data to the exact point in one call. This design, plus a no-code Weather Query Builder with live in-browser preview and one-click CSV/JSON/Excel export, makes it especially attractive for analysts, data scientists, and ETL/data-warehouse pipelines rather than only mobile app developers.
The company's strongest positioning is historical and bulk weather data at low cost. Base observations come from government stations (NOAA and other top-tier global datasets) and are interpolated to the requested coordinates using elevation, distance, and terrain, with gaps backfilled. Pricing is transparent and usage-metered: every account gets 1,000 free records per day, and the pay-as-you-go plan bills $0.0001 per record beyond that (one daily/hourly row = one record; a full 15-day forecast for a single location also counts as just one record). Subscription tiers (Professional $35/mo, Corporate $150/mo, plus custom Enterprise) become cheaper above roughly 350K and 1.5M records/month respectively. Multiple third-party comparisons consistently frame Visual Crossing as a cheaper, easier-to-use replacement for OpenWeatherMap and the go-to for ML-training-grade historical archives, while noting Tomorrow.io leads for cutting-edge AI/micro-forecasting and aviation use.
The main caveats are around independent validation and forecast positioning. Visual Crossing publishes accuracy methodology (RMSE monitoring, ensemble multi-model blending, bias analysis) but does not publish hard third-party-verified error numbers, and there is no public live status page or independently audited uptime history despite a marketed 99.9% uptime guarantee and Enterprise SLAs. Genuine aggregate review presence on G2/Capterra/Trustpilot is thin, so buyer sentiment leans on vendor docs and a few review/comparison blogs. For teams whose primary need is real-time, hyperlocal, or AI-driven nowcasting, specialized rivals may fit better; for cost-sensitive historical-data and analytics workloads, Visual Crossing is a strong, well-priced default.
How this score is derived
The APIbenchmarks Index is a weighted sum of four dimensions, each scored on an absolute 0–100 reference scale. See the methodology for every mapping.
| Dimension | Score | Weight | Contribution |
|---|---|---|---|
| Documentation & DXExtensive docs cover the Timeline API, legacy endpoints, query parameters, a changelog, and a no-code Query Builder with live preview, plus tutorials and code samples across many languages. | 78 | 30% | 23.4 |
| ReliabilityVendor markets a 99.9% uptime guarantee and Enterprise SLAs, but there is no public live status page or independently audited uptime history to verify it. | 74 | 25% | 18.5 |
| Ecosystem & SDKsSingle-endpoint design integrates cleanly with Excel, Power BI, Power Query, Google Sheets, R, and MATLAB, and is distributed via RapidAPI, with official GitHub samples and community Python wrappers. | 66 | 25% | 16.5 |
| AccessibilityGenerous always-free 1,000 records/day tier, instant self-serve API key, and human-readable record-based pricing make it easy for individuals and analysts to start with no sales contact. | 90 | 20% | 18.0 |
| APIbenchmarks Index (ABI) | 76.4 | ||
Table 1. Derivation of the ABI for Visual Crossing. Contribution = score × weight; the index is their sum.
At a glance
- Vendor
- Visual Crossing Corporation
- Pricing model
- Per record ($0.0001)
- Free tier
- 1,000 records/day
- Official SDKs
- 10 languages
Pricing
| Free | $0 | 1,000 records per day free, forever; full 15-day forecast and 50+ years of history accessible |
| Metered (Pay-as-you-go) | $0.0001 / record | First 1,000 records each day free; unlimited records beyond that billed per record |
| Professional | $35 / month | Up to 10M records/month; cheaper than metered above ~350,000 records/month |
| Corporate | $150 / month | Unlimited records under fair use; breakeven vs metered at ~1.5M records/month |
| Enterprise | Custom | Custom data volume, concurrency, dedicated support, guaranteed uptime and SLA terms |
Key features
- •Timeline Weather API: single endpoint for history, current, 15-day forecast, and climate normals
- •Built-in geocoding by address, lat/long, postal code, or location ID
- •50+ years of global historical hourly and daily observations sourced from NOAA and government stations
- •Station-to-point interpolation using elevation, distance, and terrain
- •No-code Weather Query Builder with instant live in-browser preview
- •Output in JSON, CSV, and Excel formats
- •Bulk download and data-warehouse / ETL loading support
- •AI Coder tool that auto-generates request code
- •Integration with Excel, Power BI, Power Query, Google Sheets, R, and MATLAB
- •Available via direct API and the RapidAPI marketplace
Official SDKs
Strengths & trade-offs
- +Single Timeline endpoint unifies geocoding, history, current, forecast, and climate stats in one call
- +Transparent record-based pricing with a genuinely useful 1,000-records/day permanent free tier
- +Deep historical archive (50+ years) interpolated to exact coordinates, ideal for ML training and analytics
- +No-code Query Builder with live preview lets analysts build/verify queries before any code
- +Native CSV/JSON/Excel export and compatibility with Excel, Power BI, Google Sheets, R, MATLAB
- +Frequently cited as cheaper and easier than OpenWeatherMap for comparable functionality
- –No public live status page or independently audited uptime history despite marketed 99.9% guarantee
- –Forecast accuracy claims rely on vendor methodology, with no published third-party-verified error figures
- –Thin presence on major review platforms (G2/Capterra/Trustpilot), making independent sentiment hard to gauge
- –Less suited to cutting-edge AI/hyperlocal nowcasting than specialists like Tomorrow.io
- –No official heavyweight SDKs beyond code samples/wrappers; advanced libraries are community-maintained
- –Per-record metering can get hard to estimate for complex multi-location, hourly queries without the cost calculator
What developers say
Sentiment is broadly positive among developer comparison blogs that praise its low cost, ease of use, and historical-data depth, though independent review-platform coverage is sparse and a few sources note its marketing-heavy positioning.
“Visual Crossing's Weather API is excellent if you're looking for both flexibility and depth... it offers cost-effective weather data for a variety of specialized purposes.”
Key figures
| Free tier allowance | 1,000 records / day (free forever) | Visual Crossing pricing ↗ |
| Metered price per record | $0.0001 / record | Visual Crossing 'What will my weather data cost?' ↗ |
| Professional plan price | $35 / month (up to 10M records) | Visual Crossing pricing ↗ |
| Corporate plan price | $150 / month (unlimited, fair use) | Visual Crossing 'What will my weather data cost?' ↗ |
| Marketed uptime guarantee | 99.9% (Enterprise SLA) | Visual Crossing Enterprise Weather API ↗ |
| Historical data depth | 50+ years global hourly/daily | Visual Crossing Weather API ↗ |
Compare Visual Crossing head to head
Sources
- https://www.visualcrossing.com/weather-data-pricing/
- https://www.visualcrossing.com/resources/blog/what-will-my-weather-data-cost/
- https://www.visualcrossing.com/weather-api/
- https://www.visualcrossing.com/resources/documentation/weather-api/timeline-weather-api/
- https://github.com/visualcrossing/WeatherApi
- https://www.crawlerguys.com/visual-crossing-weather-api-review/
- https://www.tomorrow.io/blog/top-weather-apis/
- https://www.xweather.com/blog/top-weather-apis-for-production-2026
- https://www.visualcrossing.com/resources/blog/replacing-the-openweathermap-api-with-visual-crossing-weather/
Figures last verified 2026-06-27. Spotted an error? corrections@apibenchmarks.com
