GribStream

GribStream
Fast & Efficient Historical Weather Forecast API

Leverage state-of-the-art weather models from NOAA and ECMWF. Including NBM, GFS, HRRR, IFS Oper, and Google's cutting-edge GraphCast GFS-with full forecast history, delivered at lightning-fast speed and an unbeatable price. GribStream isn't just another API; it's a weather-data cloud database, enabling advanced database-style queries with calculated fields and powerful filtering-so you can instantly search for specific weather conditions, not just raw data. Access and analyze global weather like never before, with the flexibility, transparency, and performance of a true SaaS platform.

Quick Start

Built for speed and clarity

Three pillars that keep the data fast, the API simple, and the pricing predictable.

🚀 Blazing Fast

Tens of thousands of points at hourly rate, for months at a time in a single HTTP request, in seconds.

🛠️ Easy to Use

Simple API, open-source clients and clear documentation. Try it in minutes.

📈 Cost-effective

Killer pricing and performance. Extract only what you need. No need to download/archive-just consume the on-demand stream.

Available datasets

Unified access to NOAA, ECMWF, and leading AI models with consistent query semantics.

Browse all models

Provider

ECMWF

Operational, ensemble, wave, and AI forecasts sourced from ECMWF Open Data.

6 datasets
AIFS Artificial Intelligence Forecasting System AI deterministic global forecasts. AIFS Ens Artificial Intelligence Forecasting System Ensemble AI ensemble for uncertainty bounds. IFS Oper Integrated Forecasting System Operational deterministic global model. IFS Wave Integrated Forecasting System Wave Wave model for ocean states. IFS Enfo Integrated Forecasting System Ensemble Probabilistic ranges and members. IFS Waef Integrated Forecasting System Wave Ensemble Wave ensemble for ocean uncertainty.

Provider

NOAA

Core NOAA operational models for surface, regional, and global workflows.

11 datasets
NBM National Blend of Models Post-processed blend for CONUS. URMA Unrestricted Mesoscale Analysis Surface analysis for verification. RTMA Real-Time Mesoscale Analysis Real-time surface analysis. GFS Global Forecast System Deterministic global model. RAP Rapid Refresh Rapid refresh regional model. HRRR High-Resolution Rapid Refresh High-resolution rapid refresh. RRFS Rapid Refresh Forecast System Next-gen rapid refresh forecasts. RRFS Ens Rapid Refresh Forecast System Ensemble Ensemble RRFS forecasts. GEFS Global Ensemble Forecast System Global ensemble atmosphere. GEFS Mean Global Ensemble Forecast System Mean Mean fields for quick baselines. CFS Climate Forecast System Long-range climate forecasts.

Platform capabilities

Query historical and real-time forecasts with advanced filtering, expressions, and ensembles.

Historical archive

Multi-year archive with forecast runs going back years.

Flexible formats

Choose CSV, JSON, or NDJSON for streaming workflows.

Precise locations

Query any coordinates with flexible precision.

Time controls

Request ranges or explicit timestamps.

Best-run selection

Automatic selection of the best available run.

As-of time travel

Travel to any model cycle with as-of queries.

Derived fields

Compute derived fields on the fly.

Condition search

Filter by conditions instead of raw grids.

Ensemble support

Full ensemble members and statistics.

Expert support

Prompt, precise support from engineers who know the data.

Pricing plans

A Free Plan is available to get you started. Upgrade to one of our Pro plans for higher daily usage limits.

For larger-scale usage, customized plans, heavy backfills, higher performance, or additional features, contact us.

Pro Plan

Daily Limit: 48,000 credits

$9.90 / month

Pro Plan 2x

Daily Limit: 96,000 credits

$18.80 / month

Pro Plan 4x

Daily Limit: 192,000 credits

$35.70 / month

Pro Plan 8x

Daily Limit: 384,000 credits

$67.80 / month

Pro Plan 16x

Daily Limit: 768,000 credits

$128.80 / month

Pro Plan 32x

Daily Limit: 1,536,000 credits

$244.70 / month

Per request quota calculation

Credits are calculated as:

Credits = hours * parameters *
          (1 + (coordinates - 1) / 500)
Or in words, hours of data, times the number of weather parameters, times bundles of 500 coordinates.

Examples:

  • Querying temperature and wind speed hour-ahead forecasts for 700 coordinates for a whole day: 48 Credits
  • Querying all 36 hours ahead forecasted at a specific time for 3,500 coordinates: 144 Credits

GribStream caches requests with LRU expiration; cache hits get a 90 % discount.

Start building now

Jump into the Quick Start guide and browse the full docs.

Quick Start Documentation

Explore the data

Browse sample data and review the available models.

Browse Data Models