port_id stringlengths 5 5 | port_name stringlengths 5 17 | country stringlengths 3 13 | congestion_score float64 0.3 0.78 | eta_delay_days float64 0.5 1.6 | waiting_vessels int64 3 18 | freight_volatility_index float64 0.22 0.44 | updated_at stringdate 2026-09-17 15:45:24 2026-09-17 15:45:24 |
|---|---|---|---|---|---|---|---|
AEDXB | Dubai / Jebel Ali | EAU | 0.5 | 1 | 8 | 0.37 | 2026-09-17 15:45:24 |
BRRIO | Rio de Janeiro | Brasil | 0.45 | 0.9 | 5 | 0.31 | 2026-09-17 15:45:24 |
BRSSZ | Santos | Brasil | 0.78 | 1.6 | 12 | 0.42 | 2026-09-17 15:45:24 |
CNNGB | Ningbo-Zhoushan | China | 0.55 | 1.1 | 9 | 0.35 | 2026-09-17 15:45:24 |
CNSHA | Shanghai | China | 0.72 | 1.5 | 18 | 0.38 | 2026-09-17 15:45:24 |
DEHAM | Hamburg | Alemanha | 0.44 | 0.9 | 7 | 0.3 | 2026-09-17 15:45:24 |
GBLGP | London Gateway | Reino Unido | 0.37 | 0.7 | 4 | 0.28 | 2026-09-17 15:45:24 |
KRPUS | Busan | Coreia do Sul | 0.48 | 0.9 | 8 | 0.33 | 2026-09-17 15:45:24 |
MPTNG | Tanger Med | Marrocos | 0.3 | 0.5 | 3 | 0.22 | 2026-09-17 15:45:24 |
MXZLO | Manzanillo | México | 0.53 | 1 | 7 | 0.39 | 2026-09-17 15:45:24 |
NLRTM | Rotterdam | Holanda | 0.4 | 0.8 | 6 | 0.29 | 2026-09-17 15:45:24 |
SGSIN | Singapore | Cingapura | 0.62 | 1.2 | 14 | 0.4 | 2026-09-17 15:45:24 |
USLAX | Los Angeles | EUA | 0.58 | 1.1 | 10 | 0.44 | 2026-09-17 15:45:24 |
USNYC | New York | EUA | 0.34 | 0.6 | 4 | 0.26 | 2026-09-17 15:45:24 |
ZACPT | Cape Town | África do Sul | 0.66 | 1.4 | 11 | 0.36 | 2026-09-17 15:45:24 |
Aether-X Global Port Congestion Snapshot
Point-in-time snapshot of the Aether-X Port Congestion Oracle — predictive congestion, ETA delay and freight-volatility signals for 15 of the world's largest ports.
This static CSV is a frozen snapshot for research, backtesting and dashboards. The live, continuously-updated signal is available through the REST API and the Python SDK.
Files
port_metrics.csv— one row per port.
Schema
| Column | Type | Description |
|---|---|---|
port_id |
string | UN/LOCODE (e.g. BRSSZ) |
port_name |
string | Port name |
country |
string | Country |
congestion_score |
float | Congestion risk, normalized 0.0–1.0 |
eta_delay_days |
float | Expected ETA delay in days |
waiting_vessels |
int | Vessels anchored or queued |
freight_volatility_index |
float | Freight pricing pressure indicator |
updated_at |
timestamp (UTC) | Snapshot timestamp |
Usage
import pandas as pd
df = pd.read_csv(
"hf://datasets/Aether-x/aetherx-port-congestion-metrics/port_metrics.csv"
)
# Highest congestion risk first
print(df.sort_values("congestion_score", ascending=False).head())
Ports
AEDXB, BRRIO, BRSSZ, CNNGB, CNSHA, DEHAM, GBLGP, KRPUS, MPTNG, MXZLO, NLRTM, SGSIN, USLAX, USNYC, ZACPT
Live data
- API: https://aether-x-oracle-production.up.railway.app/v1/port-risk?port_id=BRSSZ
- Python SDK:
pip install aetherx-oracle - MCP server (AI agents):
uvx aetherx-mcp - Source (MIT): https://github.com/belegante-byte/aetherx-oracle
License
CC BY 4.0 for this snapshot. The signals are provided "AS IS", without warranty, and do not constitute investment advice. See the Terms of Service.
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