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updatedAt: 2025-10-17T11:39:50.000Z
agentTools:
  projectIndex: https://documentation.safecube.ai/llms.txt
---

# About the API

# How does the calculation work

Sinay's ETA Prediction API provides reliable ETA Predictions based on machine learning algorithms that combine both real-time situational awareness and years of historical data.

Compiling data such as port congestion status, chosen route and vessel performance, the API will deliver calculated ETAs for any vessel worldwide.

# Port and Vessel Coverage

The API covers worldwide seaports and all commercial vessels covered by AIS.

Our API cannot provide an ETA in the following cases:

* The port is not in our database. Use our Port API to search for the correct locode.
* The vessel is not in our database. Use our Vessel API to search for the correct MMSI.
* The chosen port is a river port. Our AI Algorithm is trained only on maritime routes.
* The chosen vessel is not a Cargo or Tanker vessel. Our AI algorithm is trained on those vessels.
* The vessel did not send any AIS message in the last few days. We cannot estimate a time of arrival if we cannot locate the vessel.

If a Port is not directly covered by our system, an approximation to the closest covered port is done. ETA calculations that are approximated have a lower confidence score and are notified as such.

# What can the API be used for?

Sinay's ETA Prediction API can be integrated into any system to automate ETA predictions for Track & Trace solutions, vessel tracking, port call optimization and planning. ETA predictions can also be used to optimize multi-modal shipping in order to plan the next leg of the journey based on vessel arrival.