Satellite Intelligence for
Every Farm, Everywhere
Real-time NDVI and NDWI crop health data from Sentinel-2 imagery at 10m resolution. A REST API for developers building applications, and an MCP server to connect Claude, Cursor, or any AI assistant directly to live satellite intelligence.
Click any marker on the map to view field details
Field Risk Intelligence — Tanzania
Each row is a real field analysis run against Sentinel-2 imagery. This is exactly what a crop insurer or agricultural lender receives when they call the API — NDVI translated into actionable risk signals alongside flood and anomaly detection.
| Field | NDVI | Vegetation | Risk Signal | Flood Risk | Anomaly | Date |
|---|---|---|---|---|---|---|
Arusha Region | 0.640 | Good | Low | -- | -- | 2025-05-12 |
Dar es Salaam Coast | 0.420 | Moderate | Medium | -- | -- | 2025-05-10 |
Mbeya Highlands | 0.710 | Good | Low | -- | -- | 2025-05-14 |
Kigoma Lakeshore | 0.780 | Good | Low | -- | -- | 2025-05-11 |
Tanga Region | 0.550 | Moderate | Medium | -- | -- | 2025-05-09 |
Iringa Plateau | 0.830 | Excellent | Low | -- | -- | 2025-05-15 |
Ruvuma South | 0.320 | Fair | High | -- | -- | 2025-05-08 |
Mwanza Lakeshore | 0.470 | Moderate | Medium | -- | -- | 2025-05-13 |
Kilimanjaro Foothills | 0.400 | Moderate | Medium | -- | -- | 2025-04-18 |
Songwe Valley | 0.580 | Moderate | Medium | -- | -- | 2025-05-10 |
Risk signals derived from NDVI. Flood risk from 30-day NDWI trend. Anomaly vs 3-year historical baseline.
--No data — insufficient cloud-free satellite passes for this field in the current period.
One dataset. Two access layers.
AgroSat returns raw satellite indices from Sentinel-2. Use the REST API to build automated pipelines and applications, or connect an MCP-compatible AI assistant to query the same data in plain language.
Automate claim adjudication. NDVI in growing season vs the 3-year baseline confirms or refutes drought stress without a site visit.
Pre-disbursement field check. NDVI above 0.4 confirms a planted and growing crop before releasing loan funds.
POST /v1/field/analyze
{ "latitude": -7.9215, "longitude": 35.7396, "radius_meters": 500 }
// 200 OK
{ "ndvi": 0.18, "health_label": "Poor", "imagery_date": "2026-07-12" }Get your free API key{
"mcpServers": {
"agrosat": {
"url": "https://mcp.agrosat.dev/sse",
"headers": { "X-API-Key": "agrosat_live_..." }
}
}
}Connect your AI assistantBuilt for the farm, not the portfolio
Most satellite intelligence tools are designed around large commercial operations — where a single field covers thousands of hectares and resolution barely matters. AgroSat delivers 10m precision across any field size, with particular depth for smallholder farms worldwide.
Right resolution
10m Sentinel-2 pixels resolve a 1-hectare field into 1,000 data points. Coarser imagery — the default for large-farm tools — reduces that same field to a single blurry pixel.
Global coverage
Sentinel-2 covers the entire planet. Submit any valid coordinate and the API returns crop health data — Africa is our focus and showcase, but the tool works anywhere.
Built for builders
A REST API with Swagger docs and typed responses for applications, and an MCP server for AI assistants that query satellite data in plain language. One API key covers both. Integrate in under an hour — no sales call required.
Simple, transparent pricing
Start free. Upgrade when you need more calls. No hidden fees, no credit card required to get started.
- +Full API — field, batch & regional analysis
- +NDVI, NDWI, anomaly, flood risk & phenology
- +MCP server — connect Claude & AI agents directly
- +10m Sentinel-2 resolution
- +5-day result cache
- +Community support