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Configuring your Sandpits

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  • Sandpit limitations
  • Secure Sandpits: Overview
  • Sandpit control levels
  • How to add a SaaS Sandpit
  • How to simulate your local setup
  • How to connect to a Cloud Sandpit in AWS
  • How to add a Data Science Sandpit
  • How to add a Cloud Sandpit
  • How to upload local code to a Sandpit
  • How to add extra plugins to a Sandpit

Use Case Library

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  • Exploring AI with NayaOne
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Working with Fintechs

3
  • How to connect to a Fintech’s API
  • How to make requests to Fintechs
  • How to view a Fintech’s documentation

Using Data

4
  • How to connect a Dataset API
  • How to connect to a Dataset
  • How to change data request limits
  • How to test a Dataset with a Fintech’s API
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How to test a Dataset with a Fintech’s API

< 1 min read

Step-by-step guidance and recommendations.

  1. In your project proposal or existing Project, first add a Data Science Sandpit:
    data science radio button
  2. Select the Fintech and add a dataset
  3. Review the fintech’s documentation to check the methods and functionality you’d like to test
  4. Familiarise yourself with the Dataset’s structure, dimensions and value types:

    Scrolling through Dataset preview
  5. Launch the Data Sandpit Jupyter Notebook environment:

    Button saying Launch the data notebook environment
  6. Open the Getting Started guide:
    Jupyter notebook
  7. You’ll find instructions for connecting to the NayaOne database to query the Dataset. There’s also an example of a Fintech API request:

    Scrolling to API request
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