How it works

We are the marketplace for Machine Learning APIs

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Flexible

Connect all your current ML API endpoints in our platform quickly and easily through our dashboard. We manage the API endpoints for you.

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New target users

Get more users for your ML APIs. We expose your solution to hundreds of new potential users each day.

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Cost Saving

Save costs by using solutions already implemented, and don't reinvent the wheel

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Transparent execution

You'll always know how many requests you make to an API, or if you are a provider you'll be able to have accurate usage metrics

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Actionable results

As a user you'll be able to obtain actionable and real results and be able to make predictions on the fly.

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Scalable evolution

You can dynamically scale the number of requests and API usage. If you are a provider you can access a wide audience

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#1- Creating your ML Model and Deploying to your Server

If you want to provide your own ML endpoints in our platfom, you can do so by creating first your machine learning model, using a dataset of your choice, and then deploy it in a web server. See the video to check an example.

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#2- Connecting Your First ML Endpoint as a Provider

Once you have an ML model in your own servers, you can connect it to our platform and start getting hundreds of new users. You can add API details and connect the endpoints. You shoul also provide the API token to access the different endpoints. Check the video for more details

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#3- Connecting Your Stripe Account to Receive Payments

Once you have the endpoint connected in our platform, now you can connect your Stripe account. This will allow you to receive payments from the users. We use Stripe Express to connect your Stripe account. Check the video for more details.

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#4- Subscribe to an Endpoint as a User

If you want to use a Machine Learning model hosted in our platform, you just need to subscribe to the plan you want, and then follow the documentation provided by the provider. Check the video for more details.

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#5- Analyze Your Metrics as a Provider

As a provider you have access to metrics of usage. You can see how many user you get this month, how many requests you have received, and how many requests you have processed. Check the video for more details.

const axios = require('axios');
axios({
"method": "POST",
"url": https://www.dataendpoint.co/machine-learning-apis/engineer-salary-prediction/post-api/predict/<token>
"data": { "years_of_experience": 4 }
"headers": {
"content-type": "application/json"
}
}).then((response) => {
// handle sucess
console.log(response)
}).catch((error) => {
// handle error
console.log(error)
})
import requests
url = https://www.dataendpoint.co/machine-learning-apis/engineer-salary-prediction/post-api/predict/<token>
data = { "years_of_experience": 4 }
headers = {
"content-type": "application/json"
}
response = requests.request("POST", url, data=data, headers=headers)
print (response.text)
require 'httparty'
url = https://www.dataendpoint.co/machine-learning-apis/engineer-salary-prediction/post-api/predict/<token>
data = { "years_of_experience" => 4 }
response = HTTParty.post(url,
body: data.to_json,
headers: { "Content-Type" => "application/json" })
puts response.parsed_response
<?php
$curl = curl_init();
$url = https://www.dataendpoint.co/machine-learning-apis/engineer-salary-prediction/post-api/predict/<token>
curl_setopt_array($curl, array(
CURLOPT_URL => $url,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => "
{ "years_of_experience": 4 }
",
CURLOPT_HTTPHEADER => array(
"Content-Type: application/json"
),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;

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This marketplace really saved me a lot of time, I didn't have to develop any Machine Learning model from scratch, I just had to talk to my IT guy and connect to an API with the solution we were looking for. A great idea!
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Charlotte Moore

Director Business Planning, DataSource