Features
Four layers. From alert to adaptation.
Oracle does not just tell you the weather. It tells you what the weather means for your operation today, this week, this decade, and what to do about it.
Emergency Weather Alerts
Real-time severe weather warnings that fill the gap left by NOAA funding cuts and generic city-level alert systems.
NWS Alert Integration
Direct feed from the National Weather Service alerts API. Watches, warnings, and advisories for your exact coordinates — not the nearest metro area.
Aviation Weather Translation
TAFs and METARs from the nearest airport, translated from pilot shorthand into plain English with farming context. Wind speed, visibility, precipitation type — all in terms that matter for field work.
Configurable Thresholds
Set custom alert triggers per location: frost risk below 32°F, wind above 25 mph, precipitation above 1 inch per hour. Preset profiles for common farming scenarios.
Color-Coded Severity
Active alerts displayed as banners with clear severity indicators using both color and text labels. Warning, watch, advisory — all with icons for accessibility. WCAG 2.2 AA compliant.
Data sources: National Weather Service API, AviationWeather.gov (TAFs/METARs), polled every 5 minutes.
Short-Term Weather Intelligence
7-day hyper-local forecasts interpreted through an agricultural lens. Not a weather app — a farming decision tool.
Hyper-Local Forecasts
Forecasts tied to your exact field coordinates using NWS grid-point resolution. Hourly detail for the next 156 hours. Supplemented with ECMWF global model data for ensemble comparison.
AI Farming Interpretation
Raw forecast data interpreted through agricultural context. Plain-language summaries like: "Ideal window for field work Monday through Wednesday. Rain likely Thursday onward — delay planting if soil is already saturated."
AI Provenance Tracking
Every AI-generated summary is tagged with the model used, timestamp, and source data version. You always know what generated the interpretation and when.
Multi-Source Aggregation
NWS and ECMWF data combined for a more complete picture. Where models disagree, Oracle flags the uncertainty so you can make informed decisions.
Data sources: NWS API (gridpoint forecast + hourly), ECMWF open data, AI interpretation via Claude.
Climate Trend Tracking
County-level dashboard showing how your climate is actually changing. Historical data going back to 1940, current trends, and two projection tracks.
Temperature Trends
30-year average vs. last 10 years vs. last 5 years. See the acceleration in real numbers, not headlines.
Precipitation Patterns
Track changes in rainfall distribution: more intense events, longer dry spells, shifting seasonal patterns. Data from ERA5 reanalysis.
Growing Season Analysis
First and last frost dates over time. Growing season length trends. See how your planting and harvest windows are shifting decade by decade.
Hardiness Zone Tracking
Your current USDA zone, what it was in 2012, and where it is projected to be by 2040. Visual shift indicator shows the direction and pace of change.
Extreme Event Frequency
Count of days above extreme heat thresholds, days below freezing, and heavy precipitation events per year. Trend lines show whether these are increasing.
Dual Projection Tracks
Track A: Official CMIP6 projections (SSP2-4.5 and SSP5-8.5). Track B: Observed-trend-forward extrapolation from actual rates of change. Both shown with confidence intervals.
Data sources: ERA5 reanalysis (1940–present), USGS NCCV county-level projections, USDA PRISM hardiness zone data.
Adaptation Intelligence
Your location's future climate already exists somewhere else today. Oracle finds those analog regions and delivers adaptation guidance from the people already farming in those conditions.
Climate Analog Mapping
For each location: "By 2040, your area's climate is projected to resemble present-day [analog location]." Map visualization with side-by-side climate comparison metrics.
Curated Adaptation Guidance
Per climate transition type (temperate to subtropical, arid to volatile), curated recommendations sourced from agricultural research and extension services. AI-generated, founder-reviewed.
Source Transparency
Every adaptation recommendation tagged with provenance: source research, analog region practices, or expert recommendations. You know where the guidance comes from.
Multiple Scenarios
Analog matches computed under SSP2-4.5, SSP5-8.5, and observed-trend scenarios for 2040, 2060, and 2080. See the range of possible futures.
Note: Adaptation guidance is provided for informational purposes. Consult local agricultural extension services for site-specific advice.
Comparison
How Oracle compares.
| Capability | Generic Weather App | Precision Ag Platforms | Oracle |
|---|---|---|---|
| Field-level forecasts | — | ✓ | ✓ |
| Aviation weather translation | — | — | ✓ |
| AI farming interpretation | — | — | ✓ |
| County-level climate trends | — | — | ✓ |
| Hardiness zone shift tracking | — | — | ✓ |
| Climate analog mapping | — | — | ✓ Beta |
| Adaptation guidance | — | — | ✓ Beta |
| WCAG 2.2 AA accessible | — | — | ✓ |
| AI provenance tracking | — | — | ✓ |
| Starts at | $0 (ad-supported) | $30–100+/mo | $0 (no ads) |
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