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.

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REST API docs
Live Tanzania Crop Health — Sentinel-2
NDVI Health:
Excellent
Good
Moderate
Fair
Poor

Click any marker on the map to view field details

Updated 24 May 2026 · Next 3 Jun 2026
Sentinel-2Data SourceWorldwideCoverage5-dayUpdate Cycle10m / pxResolution
Regional Mean NDVI
0.150
10 monitoring points
Healthy Fields
0 / 10
NDVI >= 0.60
Stressed Fields
10 / 10
NDVI < 0.40
Flood Status
Clear
Active waterlogging alerts
Live Risk Signals

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.

FieldNDVIVegetationRisk SignalFlood RiskAnomalyDate
Arusha Region
Ripening
0.085PoorCritical----2026-04-24
Dar es Salaam Coast
Bare / Fallow
0.168PoorCritical--Normal2026-05-24
Mbeya Highlands
Bare / Fallow
0.208FairHigh--Normal2026-05-20
Kigoma Lakeshore
Bare / Fallow
0.258FairHigh--Below Normal2026-05-11
Tanga Region
Bare / Fallow
0.122PoorCritical--Below Normal2026-05-24
Iringa Plateau
Ripening
0.302FairHigh--Slightly Above Normal2026-05-24
Ruvuma South
Ripening
0.234FairHigh--Slightly Above Normal2026-05-22
Mwanza Lakeshore
Ripening
0.148PoorCritical--Normal2026-05-08
Kilimanjaro Foothills
Ripening
-0.033PoorCritical--Normal2026-05-14
Songwe Valley
Ripening
0.007PoorCritical--Normal2026-05-12

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.

Season Intelligence

This Season vs Last Year

Mean NDVI for the current 90-day window compared to the same calendar window in the previous season. A leading indicator of crop performance before harvest data is available.

Mbeya Highlands

On Track
-16.5%YoY
This Season
0.186
9 obs
Last Year
0.223
8 obs

Current NDVI (0.186) is 16.5% below the same period last year (0.223). Crop performance is consistent with the previous season.

Iringa Plateau

Ahead of Last Year
+36.7%YoY
This Season
0.276
9 obs
Last Year
0.202
7 obs

Current NDVI (0.276) is 36.7% above the same period last year (0.202). Crop is performing better than the previous season.

Kilimanjaro Foothills

On Track
1.8%YoY
This Season
-0.039
4 obs
Last Year
-0.038
2 obs

Current NDVI (-0.039) is 1.8% above the same period last year (-0.038). Crop performance is consistent with the previous season.

Two ways to build

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.

REST API
for applications and automated pipelines
Crop Insurer

Automate claim adjudication. NDVI in growing season vs the 3-year baseline confirms or refutes drought stress without a site visit.

/v1/field/anomaly
Agricultural Lender

Pre-disbursement field check. NDVI above 0.4 confirms a planted and growing crop before releasing loan funds.

/v1/field/analyze
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" }
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MCP ServerNew
for AI assistants and agents
Insurance Adjuster
YouField -7.92, 35.74 — farmer claims drought in July. Valid?
AINDVI 0.18 in July — 74% below the seasonal baseline. Anomalous Low. Consistent with severe drought stress.
Field Agronomist
YouAny flood risk around Kigoma after last week's rains?
AINDWI rose +0.34 over 30 days at -4.88, 29.66. Alert level — high waterlogging risk across lakeshore fields.
{
  "mcpServers": {
    "agrosat": {
      "url": "https://mcp.agrosat.dev/sse",
      "headers": { "X-API-Key": "agrosat_live_..." }
    }
  }
}
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Built 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.

Most popular
Free
$0/forever
500 calls / month
  • +Full API — field, batch & regional analysis
  • +NDVI, NDWI, anomaly, flood risk & phenology
  • +10m Sentinel-2 resolution
  • +5-day result cache
  • +Community support
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