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Introduction

1
  • Introduction

Quick Start Guide

4
  • Step 1 – Setup Data Source
  • Step 2 – Automatic Endpoints
  • Step 3 – Build a new API
  • Querying and Scripting

Using Parameters

1
  • Using Parameters

Authentication

2
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  • Users and Groups

Multi-Source Aggregation

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  • Multiple Data Sources – One API

Data Sources

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  • Data Sources

Examples

2
  • Attendance Tracking with JWT & API Keys
  • Combining Multiple Data Sources

Troubleshooting

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  • Troubleshooting Tips
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Troubleshooting Tips

Cold Start Delay – If your data source is a cloud-based database, it may experience a cold start delay when not actively in use, causing a temporary slowdown before functioning normally again. This is common with services like Supabase and Azure SQL, which may enter a paused state when idle, leading to an initial response delay. Once the database is active, performance should return to normal. To mitigate this, consider keeping the database warm by running periodic queries, utilizing connection pooling to optimize response times, or adjusting auto-pause settings if available.


Natural language error handling – Occasionally, the system may throw an error when generating queries or scripts using natural language. To troubleshoot this, first, try copying and pasting the error message as it is, as this might help identify or resolve the issue. Additionally, refining your approach to natural language input can improve results. Keeping the conversation going and gradually increasing complexity in your prompts often leads to better and more accurate outputs.

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