Geospatial AI, one API call away

from atlaso import Lens

client = Lens()  # reads ATLASO_API_KEY

aoi = client.aoi.from_file("rotterdam_port.geojson")

job = client.analyses.create(
    aoi=aoi,
    models=["buildings-v4", "vessels-v3"],
    period=("2025-03-01", "2026-09-30"),
    detect_change=True,
)

for change in job.wait().changes(min_confidence=0.9):
    print(change.kind, change.area_m2, change.first_seen)

import { Lens } from '@atlaso/sdk';

const client = new Lens({ apiKey: process.env.ATLASO_API_KEY });

const monitor = await client.monitors.create({
  aoi: 'aoi_8f2k1',
  models: ['buildings-v4', 'vessels-v3'],
  cadence: 'weekly',
  alert: { when: 'change.count > 25', webhook: 'https://example.com/hooks/geo' },
});

console.log(monitor.id, monitor.nextRunAt);

curl https://api.atlaso.co.in/v1/ask \
  -H "Authorization: Bearer $ATLASO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "aoi": "aoi_8f2k1",
    "question": "How many new buildings appeared since March 2025?"
  }'

{
  "answer": "214 new structures inside the AOI since 2025-03-01.",
  "confidence": 0.96,
  "evidence": {
    "model": "buildings-v4",
    "scenes": ["optical_20250304", "optical_20260918"],
    "features": "https://api.atlaso.co.in/v1/results/res_93kd/features.geojson"
  },
  "usage": { "km2": 38.4, "credits": 12 }
}