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These public repositories demonstrate real applications built on the Direct Query API with the Newton Fusion and Omega models. Each is a complete, runnable project — clone one as a starting template for your own use case. If you’re new to the platform, run the Developer Quickstart first: it covers the same patterns at their smallest scale. To build with a coding agent, the Agent Skills teach these patterns directly.

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Vision & Text Reasoning (Newton Fusion)

Traffic Analysis

Live Caltrans CCTV analysis — samples a burst of frames per interval and sends them as one multi-frame query to reason over flow, incidents, and conditions.

Wildfire Detection

Wildfire detection across 1,200+ ALERTCalifornia cameras — per-camera smoke, fire, and haze assessment plus zone Q&A.

Earthquake Monitoring

Real-time USGS feed → text reasoning over structured seismic data: aftershock sequences, clustering, regional-risk ranking.

Power Grid Analysis

California power grid (CAISO supply/demand) → reasoning on duck-curve dynamics, ramp, renewable share, and grid-stress risk.

WiFi Occupancy

“Is anyone home?” — occupancy inference from residential WiFi device telemetry, with per-window verdicts shown against ground truth.

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Time-Series Embeddings (Newton Omega)

Water Treatment Anomalies

Six-stage water-treatment-plant anomaly dashboard: per-channel Omega embeddings + client-side KNN, with embedding views and per-stage accuracy badges.

Wind Turbine Faults

Wind-farm SCADA data: detects a real frequency-converter fault against a healthy peer turbine using a leakage-free n-shot library.

Drilling State Classification

Drilling state classification from 14 North Sea wells, evaluated live against ground truth.
If you build something with these patterns, open a PR against agent-skills to share what you learned — the empirical gotchas documented there came from real production runs.