AEML Shipping Region Gauge — Port & Maritime Disruption Triangle is a paid API for AI agents from aeml-x402.zeabur.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Returns a three-leg observable gauge for a named port/shipping region: sea-state disruption risk (WMO marine + wind vs operational thresholds), sea-state causal decomposition (swell vs local storm vs distant groundswell), and live AIS vessel-flow throughput/congestion, with a cross-validated narrative on whether sea-state disruption has propagated to actual vessel flow.
[3-LEG] Shipping chokepoint chain, one chokepoint or port (?loc=malacca): leading sea state and wind against operating thresholds -> current wave decomposition, local storm against distant swell -> realized AIS transit throughput (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: IMF PortWatch, NOAA, Open-Meteo Marine. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.
A structured JSON object with: (1) 'legs' object containing named signal readings for each of the three triangle legs (sea-state/WMO, swell decomposition, AIS throughput/congestion) with current values, observation timestamps, data age, and record hashes; (2) a cross_line_narrative string describing whether sea-state disruption has propagated to vessel flow; (3) provenance metadata including freshness status, data lineage, and oldest leg age; (4) an Ed25519-signed _citation block for zero-trust offline verification; (5) decision_points listing swappable parameters for re-runs; (6) grade and scope disclaimers indicating this is screening-level observational data, not decision-grade forecasting.
GEThttps://aeml-x402.zeabur.app/gauge/shipping-regionChoose this endpoint when you need a single-call triangulated picture of both physical sea conditions AND actual vessel flow at a named maritime chokepoint or port — particularly when you want cross-validation between meteorological disruption signals and AIS-confirmed traffic impacts. Prefer this over raw weather APIs when you need the logistics interpretation layer, and over standalone AIS feeds when you need the causal sea-state context. Best for supply chain monitoring agents, freight risk dashboards, and commodity flow intelligence that needs verifiable, citable observational data rather than forecasts.
| Field | Type | Description |
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{
"type": "json"
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