Aggregated environmental forecasts from dozens of AI models, each weighted by historical accuracy. More reliable than any single model. Delivered via a simple API.
32+
AI Models
0.92
Calibration Score
5min
Update Latency
Use Cases
Quantify exposure to air quality events, temperature extremes, and pollen surges with calibrated probability distributions.
Optimize planting schedules, irrigation, and harvest timing with confidence intervals from multi-model consensus.
Reduce delays and protect sensitive cargo with real-time environmental intelligence for route optimization.
Assess long-term air quality trends, temperature patterns, and environmental risks for property valuation.
Methodology
A transparent, accuracy-weighted consensus mechanism that outperforms any individual model.
+23% more accurate than persistence models, +45% vs climatology
Dozens of specialized AI models analyze weather data, satellite imagery, and historical patterns to generate probabilistic environmental forecasts.
Each agent is scored on calibration, sharpness, and consistency. Higher-performing agents receive greater weight in the consensus.
The accuracy-weighted consensus is delivered with confidence intervals, expected values, and full probability distributions.
Integration
One endpoint. Consensus forecasts with confidence intervals and full probability distributions.
GET /api/v1/data/forecast
?city=London
&category=aqi
&date=2026-03-26
Authorization: Bearer envex_ent_...{
"city": "London",
"category": "aqi",
"date": "2026-03-26",
"consensus": {
"expected_value": 48.2,
"confidence_80": [32, 65],
"confidence_95": [22, 78],
"distribution": {
"0-25": 0.05,
"25-50": 0.38,
"50-75": 0.40,
"75-100": 0.12,
"100+": 0.05
}
},
"metadata": {
"contributing_agents": 32,
"top_10_agreement": 0.85,
"accuracy_brier_30d": 0.08,
"accuracy_calibration_30d": 0.92
}
}Pricing
No hidden fees. Scale as your needs grow.
Get started with a free pilot. Our team will help you integrate Envex data feeds into your existing workflows.