Santos Port Congestion — Reference Risk, ETA & Demurrage

Reference congestion, ETA delay, waiting vessels and demurrage for Santos (BRSSZ), Brasil.

Congestion signal for Santos (BRSSZ), Brasil — Live line-up from Porto de Santos + Painel de operações de Santos., data_source=live:santos+santos_painel updated at 2026-09-19 13:17:10.

What this data means

24 / 48 / 72h projection

Example response

{
  "port_id": "BRSSZ",
  "port_name": "Santos",
  "country": "Brasil",
  "congestion_score": 0.25,
  "eta_delay_days": 0.2,
  "waiting_vessels": 0,
  "freight_volatility_index": 0.4,
  "estimated_daily_demurrage_usd": 42000,
  "updated_at": "2026-09-19 13:17:10",
  "as_of": "2026-09-19 13:17:10",
  "data_source": "live:santos+santos_painel",
  "data_source_label": "Live line-up from Porto de Santos + Painel de operações de Santos.",
  "live_detail": "{\"ao_largo\": 0, \"esperados\": 0, \"atracados\": 593, \"programados\": 135}",
  "validation": {
    "source": "antaq_estatistico_aquaviario",
    "ano": 2026,
    "mes": "jan",
    "n_atracacoes": 500,
    "n_com_imo": 491,
    "espera_atracacao_h_avg": 51.4,
    "espera_atracacao_h_med": 10.2,
    "espera_atracacao_h_p90": 151.1,
    "atracado_h_avg": 50.1,
    "estadia_h_avg": 101.3,
    "validado_em": "2026-09-19 01:49:06"
  },
  "live": {
    "ao_largo": 0,
    "esperados": 0,
    "atracados": 593,
    "programados": 135
  }
}

Track Santos programmatically

Python SDK

pip install --upgrade aetherx-oracle

from aetherx import OracleClient

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

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