SateAIs API
AI-powered satellite data analysis — detect ships, oil slicks, new buildings, and time-series change via a simple REST API.
The SateAIs API is a RESTful service at https://api.spcsft.com that turns satellite imagery into structured GeoJSON detections. Submit an area of interest, and receive AI-powered analysis results ready to render on any map.
Get started
Quickstart
Run your first detection in under five minutes with a single curl command.
Authentication
Generate an API key in the Console and authenticate your requests.
SDKs
Python SDK
pip install sateais — typed client, polling helper, and a sateais CLI.
JavaScript SDK
npm install @sateais/sdk — zero-dependency, ESM + CommonJS, bundled types.
Detection capabilities
Ship detection
Detect vessels from Sentinel-1 SAR imagery. Typical runtime ~30 min.
Oil slick detection
Identify oil spills on the sea surface. Typical runtime ~50 min.
New building detection
Find newly constructed structures across two time periods.
Disappeared building detection
Identify buildings missing between two periods — post-disaster damage.
Time-series change
Detect surface change between two observations of the same area.
Core concepts
How it works
Async job lifecycle — submit, poll, fetch.
Pricing
Free, Pro, and Enterprise plans. Free includes 500 credits/month.
Rate limits
Per-key request quotas and burst behavior.
AI agents
MCP (Model Context Protocol)
Connect Claude, ChatGPT, and other MCP-compatible agents to SateAIs detections.
Authentication
API keys are shared between REST and MCP.