Seattle / Tacoma Port Congestion

Reference congestion, ETA delay, waiting vessels and demurrage for Seattle / Tacoma (USSEA), EUA.

Congestion signal for Seattle / Tacoma (USSEA), EUA — Static reference seed (not live telemetry)., data_source=static_reference_seed updated at 2026-09-20 11:23:37.

Score0.46
ETA delay0.9d
Waiting6
Demurrage$50,400

What this data means

24 / 48 / 72h projection

24h0.45
48h0.45
72h0.44
Trenddescongestionando
Example response
{
  "port_id": "USSEA",
  "port_name": "Seattle / Tacoma",
  "country": "EUA",
  "congestion_score": 0.46,
  "eta_delay_days": 0.9,
  "waiting_vessels": 6,
  "freight_volatility_index": 0.3,
  "estimated_daily_demurrage_usd": 50400,
  "updated_at": "2026-09-20 11:23:37",
  "as_of": "2026-09-20 11:23:37",
  "data_source": "static_reference_seed",
  "data_source_label": "Static reference seed (not live telemetry).",
  "live_detail": null,
  "validation": null,
  "decision_grade": "reference",
  "signal": {
    "level": "ELEVATED OPERATIONAL PRESSURE",
    "live_observation": false,
    "queue_vessels": 6,
    "expected_delay_days": 0.9,
    "demurrage_expected_usd": null,
    "demurrage_p90_usd": null,
    "confidence": null,
    "provenance": "static_reference_seed",
    "decision_implication": "Current conditions indicate elevated operational pressure at Seattle / Tacoma. Use caution when making schedule-sensitive routing, vessel-scheduling or demurrage-sensitive decisions.",
    "as_of": "2026-09-20 11:23:37"
  }
}

Track Seattle / Tacoma programmatically

Python SDK
pip install --upgrade aetherx-oracle

from aetherx import OracleClient

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

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

Get a free API key