Tokyo / Yokohama Port Congestion — Reference Risk, ETA & Demurrage

Reference congestion, ETA delay, waiting vessels and demurrage for Tokyo / Yokohama (JPTYO), Japão.

Congestion signal for Tokyo / Yokohama (JPTYO), Japão — Live AIS, Port & Intermodal Rail via portinsight_ais, gateway_lines (Median wait 10.4h)., data_source=live:portinsight_ais+gateway_lines updated at 2026-09-20 11:23 UTC.

What this data means

24 / 48 / 72h projection

Example response

{
  "port_id": "JPTYO",
  "port_name": "Tokyo / Yokohama",
  "country": "Japão",
  "congestion_score": 0.28,
  "eta_delay_days": 0.4,
  "waiting_vessels": 25,
  "freight_volatility_index": 0.4,
  "estimated_daily_demurrage_usd": 43200,
  "updated_at": "2026-09-20 11:23 UTC",
  "as_of": "2026-09-20 11:23 UTC",
  "data_source": "live:portinsight_ais+gateway_lines",
  "data_source_label": "Live AIS, Port & Intermodal Rail via portinsight_ais, gateway_lines (Median wait 10.4h).",
  "live_detail": "{\"port_name\": \"Tokyo / Yokohama\", \"country\": \"Jap\\u00e3o\", \"congestion_score\": 0.28, \"eta_delay_days\": 0.4, \"waiting_vessels\": 25, \"median_wait_hours\": 10.4, \"berth_occupancy_pct\": 54.0, \"status\": \"LOW\", \"sources\": [\"portinsight_ais\", \"gateway_lines\"], \"as_of\": \"2026-09-20 11:23 UTC\"}",
  "decision_grade": "decision",
  "signal": {
    "level": "MODERATE / LOW PRESSURE",
    "live_observation": true,
    "queue_vessels": 25,
    "expected_delay_days": 0.4,
    "demurrage_expected_usd": 12800,
    "confidence": 0.94,
    "provenance": "live:portinsight_ais+gateway_lines",
    "decision_implication": "Live stream indicates low conditions at Tokyo / Yokohama (Japão).",
    "as_of": "2026-09-20 11:23 UTC"
  }
}

Track Tokyo / Yokohama programmatically

Python SDK

pip install --upgrade aetherx-oracle

from aetherx import OracleClient

client = OracleClient(api_key="YOUR_RAPIDAPI_KEY")
risk = client.get_port_risk("JPTYO")
print(risk.congestion_score, risk.eta_delay_days)

Add the 24/48/72h trend with client.get_port_trend("JPTYO"), or monitor several ports at once with client.get_ports_risk(["JPTYO", "CNSHA"]). AI agents can consume the same data via the Aether-X MCP server.