Vectronis Developer Quickstart

The Vectronis API provides real-time access to 1024-band continuous foundation model inference. Follow the instructions below to install the client and execute your first in-orbit tensor query.

pip install vectronis-ai

Authentication & API Keys

All requests must include your secret API key passed via the HTTP Authorization header. Keys are cryptographically tied to your organization enclave.

Authorization: Bearer vx_live_7a8b9c0d1e2f3a4b5c6d7e8f

Runs 1024-band foundation model inference over geospatial tiles, raw ENVI/TIFF files, or satellite sensor stream buffers.

import vectronis

client = vectronis.Client(api_key="vx_live_7a8b9c0d1e2f3a4b")

# Analyze 1024-band imagery for methane plume vectors
result = client.hyperspectral.infer(
    coordinates={"lat": 31.9686, "lon": -99.9018},
    target_chemicals=["CH4", "C2H6", "NO2"],
    min_confidence=0.98,
    zero_retention_enclave=True
)

for detection in result.detections:
    print(f"Target: {detection.chemical}")
    print(f"Flux Rate: {detection.flux_rate_kg_hr} kg/hr")
    print(f"Confidence: {detection.confidence * 100:.2f}%")

Low-latency bi-directional WebSocket stream for live satellite downlink or aerial drone patrols. Delivers sub-millisecond bounding polygons and audio alarms.