sat.ipintel.ai Satellite Observe is a paid API for AI agents from sat.ipintel.ai, paid per call via x402, $0.025/call, status healthy (last checked 2026-09-15, last successful call 2026-09-10).
Fetches satellite imagery and scene metadata (PNG URLs) for given coordinates using true color, vegetation, water, thermal, or radar analysis modes.
Agent-ready satellite observations for any coordinates. Returns PNG image URLs and scene metadata for true color, vegetation, water, thermal, or radar analysis.
Returns one or more PNG image URLs for the requested satellite observation along with scene metadata including acquisition date, cloud cover percentage, satellite band/mode used, and geographic bounding extent.
POSThttps://sat.ipintel.ai/satellite-observeUse this endpoint when you need actual satellite-derived imagery or band-specific analysis (vegetation NDVI, water index, thermal, SAR radar) for any global coordinates, especially when cloud-independent radar is needed or when environmental/agricultural/disaster analysis is required. Prefer over generic map tile APIs when spectral analysis modes matter.
| Field | Type | Description |
|---|---|---|
| lat | number | |
| lon | number | |
| date | string | Optional preferred acquisition date in YYYY-MM-DD format. |
| mode | string | |
| orbit | string | Sentinel-1 orbit direction for radar mode. |
| radius_m | integer | |
| max_cloud_cover | integer | Optical modes only. Radar is cloud-independent. |
| date_tolerance_days | integer |
{
"type": "json",
"example": {
"ok": true,
"mode": "true_color",
"tool": "satellite-observe",
"image": {
"format": "png",
"clean_url": "https://sat.ipintel.ai/results/satellite/example.png",
"annotated_url": "https://sat.ipintel.ai/results/satellite/example_annotated.png"
},
"attribution": "Satellite imagery data",
"selected_scene": {
"date": "2026-07-10",
"source": "Sentinel-2 L2A",
"cloud_cover": 4.2
},
"fulfillment_status": "exact"
}
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