ETA API

Add ETA Predictions into your daily tools using API

Easily integrate Sinay’s vessel ETA Calculator into your system by API. Provide accurate predictions everytime thanks to our AI models.

				
					{
  "arrivalTime": "2022-01-11T12:00:00.000Z",
  "confidence": 3,
  "etaRemainingTime": 540,
  "etaErrorMarginValue": 140.4,
  "vessel": {
    "imo": 111111,
    "speed": 12.5
  },
  "departure": {
    "date": "2020-01-10T10:00:00.000Z",
    "portCode": "FRLEH"
  },
  "arrival": {
    "portCode": "ESBCN"
  },
  "remainingDistance": 1250
}
				
			

Powerful API For Maritime Companies

We provide Estimated Time of Arrival data solutions via API.
Everything your maritime software requires in one place.

Designed for Ports and Shipping Industries

Use cases

Port Call Management

Challenge AIS data with an enhanced predictive model that provides reliable information everytime. 
Anticipate early or late arrivals, avoid berthing conflicts, save time and enhance efficiency during port calls. 

Fleet Management

Get a quick update on a ship’s ETA and inform your customers with reliable insight, locate your fleet at any time to ensure competitiveness and reputation.

Benefits

Transform your Daily Tools by Adding Accurate & AI Predicted ETAs

Integrate our ETA calculator into Any Platform Using our API

Quick & Easy Seamless Integration thanks to our Dedicated Documentation and Customer Support

Become More Competitive and Enhance Team Efficiency: Easy Access to Reliable ETA Predictions in Just a Few Clicks.

Solutions made for Developers Managers Maritime Workers

1 ms
Longest response time
1 +
Vessels in Database
1 +
World Ports Covered

They trust us

Powerful and easy-to-use

How it works

01.

Get Your API Key

Get started now by generating your API key on the Sinay Hub (create an account or sign-in for free) – unlimited access for 30 days!

02.

Get an ETA from a Vessel position to Port

The possible parameters for this operation are as follows:

				
					mmsi: 10-digit vessel identifier (e.g. 636019904)

imo : 7-digit ship identifier (ex : 1234567)

portArrivalCode : the 5-digit UN/LOCODE of the port of arrival

departureDate: the desired departure date and time or the current time in the following format YYYY-MM-DDTHH:MM:SS:MMMZ
				
			

03.

Get an ETA from
Port to Port

The possible parameters for this operation are as follows:

				
					mmsi: 10-digit vessel identifier (e.g. 636019904)

imo : 7-digit ship identifier (ex : 1234567)

portArrivalCode : the 5-digit UN/LOCODE of the port of arrival

departureDate: the desired departure date and time or the current time in the following format YYYY-MM-DDTHH:MM:SS:MMMZ

portDepartureCode : the 5 character UN/LOCODE of the departure port
				
			

04.

Answer Format

The answer will have the following format: the calculated ETA can be found after “remainingTime”, the estimated time of arrival can be found after “arrivalTime

FAQ

The calculated information available in the estimated time of arrival Module are: 

  • The estimated time of arrival of a vessel in a port  
  • The route time 
  • Statistics of the ship on this route 

Our machine-learning software combines the data obtained from a ship’s AIS (Automatic Identification System), with historic voyage data and metocean data to precisely calculate the next port of call of a ship and its arrival time.

To go further on this question :

How Is ETA Computed Using Artificial Intelligence?

The estimated time of arrival Module is a “plug-and-play” solution.  

Thanks to 4 Steps, the results are delivered within a span of a few seconds. 

Sustainable development Goals

Using data to predict ETA allows ports to be more efficient. With the ETA module, Sinay is committed to the fight against pollution and climate change thanks to innovative technology. Reduced port congestion and an optimized supply chain help maritime traffic to be more efficient and more respectful of marine biodiversity.

Want more info? Need help getting started? Get in touch!

Focus on data to make an effective decision

Discover Our APIs

Choose the needed API, either to predict ETA, Estimate Port congestion, Metocean or more. Integrate Our API into your daily solution to help increase value chain efficiency, save time and money, and reduce your environmental footprint. Each API lets you solve specific key pain points.

APIs

Easily integrate Sinay’s vessel ETA Calculator into your system by API. Provide accurate predictions everytime thanks to our AI models.

Get the real-time congestion status of a port to save money, better allocate resources, and optimize operational efficiency with the help of our API.

Use either MMSi or IMO of a ship to retrieve all AIS information of a specific vessel such as its real-time position, speed or course.

Monitor carbon emissions of any sea voyage by using Sinay’s CO2 Emissions Calculator API.

Sinay provides customers with current, swell and wind data, via an API.

Monitor noise emissions for any vessel type and any vessel journey worldwide. Get an estimation of Sound Exposure Level and assess your impact on marine wildlife. 

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