Small curated maritime sanctions-intelligence dataset

Small curated maritime sanctions-intelligence dataset: real-time positions and profiles for a watched cohort of 229+ vessels partitioned into sanctioned / suspicious / celebrity / normal categories, with derived AIS-transponder dark-period records, ship-to-ship transfer candidate detections, historical route traces per tracked vessel, sanctions risk scores, automated anomalous-behaviour alerts, and cross-referencing against US, EU and UN sanctions lists (regimes named: North Korea, Iran, Russia).

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equitiescommodities
Categories: AlternativeSupply Chain

Dataset card

Type: not stated
Format: Tabular / JSON vessel records with time-series position and route traces, served by a FastAPI backend and rendered on a real-time web map; anomaly alerts as structured event records
Volume: 229+ tracked vessels with real-time positions, per-vessel historical route traces, dark-period and ship-to-ship candidate event records, and risk scores — a small curated cohort rather than a fleet-wide corpus (a global AIS feed carries tens of thousands of vessels)
Users: N/A — free public showcase application published in a corporate app gallery, not a registration-gated product; no account base or count is published
History: not stated
Update frequency: not stated
Growth: Static / showcase — one-shot build completed in 14 days and published in a 'Built by AI Employees' app gallery; no release cadence, roadmap, customer programme or update history is presented
Launched: ~2025-2026 (14-day build window stated on the page; parent is a recent seed-stage AI-employee startup and the referenced model/tooling stack places it squarely in the current agent-product cycle)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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