Predictive port congestion, ETA delay and demurrage signals for global trade and finance.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Port congestion signals for developers, AI agents, logistics systems and quantitative workflows.
DATA INTEGRITY NOTICE: 18 ports & global chokepoints serve LIVE operational telemetry. Brazil ports (Santos, Paranaguá, Rio, Niterói, ItaguaÃ), Asian hubs (Singapore, Shanghai, Busan, Tokyo/Yokohama), European hubs (Rotterdam, Hamburg, Antwerp, Genoa), African ports (Cape Town, Tanger Med), and critical straits (Hormuz, Suez Canal, Panama Canal) are refreshed continuously from 12+ live sources (
data_source="live:..."). The remaining 17 ports serve a reference seed (data_source="static_reference_seed"). Every API/MCP response includesdata_sourceandas_of.
Aether-X is live physical-world port intelligence — port congestion signal, vessel queue intelligence, port delay risk / ETA delay, and demurrage exposure — covering 35 ports & global chokepoints (18 ports LIVE with multi-region telemetry, 17 reference seed ports). Delivered through a REST API, a typed Python SDK and a remote MCP server for AI agents.
When to call Aether-X: when a decision depends on current port conditions — choosing between ports, routing cargo, vessel scheduling, ETA risk, demurrage exposure, or supply-chain disruption — not static port information. Every response includes a machine-readable signal block (level, live_observation, queue_vessels, decision_implication, as_of).
Free tier available. No credit card required.
Get a free API key on the RapidAPI listing.
Ask your agent directly:
"What's the congestion risk at Santos?"
"Compare Santos, Shanghai and Rotterdam."
"Which of these ports has the highest modeled demurrage exposure?"
"Show me the 72-hour congestion trend for Santos."
Available tools: get_port_risk · get_ports_risk · get_port_trend
Add to your MCP client config:
Published in the Official MCP Registry as io.github.belegante-byte/aetherx-mcp, available on PyPI, Glama and Smithery.
Base URL: https://aetherx.aether-grid.io
| Method | Path | Description |
|---|---|---|
GET | /v1/port-risk?port_id=BRSSZ | Congestion score, ETA delay, waiting vessels, freight volatility and daily demurrage for one port |
GET | /v1/ports-risk?port_ids=... | Same signal for up to 20 ports in a single call |
GET | /v1/port-trend?port_id=BRSSZ | 24h / 48h / 72h congestion projection with trend label |
GET | /mcp | Remote MCP endpoint (Streamable HTTP) |
Example response (/v1/port-risk?port_id=BRSSZ):
Interactive docs: Swagger UI · OpenAPI
BRSSZ BRRIO CNSHA CNNGB CNTAO SGSIN NLRTM USLAX USNYC DEHAM MPTNG AEDXB KRPUS GBLGP ZACPT MXZLO
Unknown ports fall back to a global statistical estimate (country="Global").
Free Developer Tier — $0.00 for development, prototyping, CI and evaluation. No credit card required.
| Plan | Price | Best for |
|---|---|---|
| Free Developer Tier | $0.00 | Evaluation, prototypes, CI — up to the plan's monthly request limit |
| Pay-as-you-go | $0.02 / query | Production traffic beyond the free tier |
Grab a key on the RapidAPI listing.
io.github.belegante-byte/aetherx-mcpDeploys to Railway via railway.json; the DuckDB oracle is seeded idempotently at boot.
Signals are provided "AS IS", without warranty, and do not constitute investment advice. See Terms of Service.
The Python SDK is MIT licensed. The API, reference engine and data pipeline are proprietary — hosted usage is governed by the Terms.
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