AI Text to SQL API

AI Text to SQL API

The AI Text to SQL API empowers users to generate SQL queries from plain text input. By providing natural language descriptions or requirements, developers and data analysts can effortlessly convert their text into structured and accurate SQL queries, streamlining the process of extracting information from databases.

API description

About the API:

The AI Text to SQL API is a powerful tool that revolutionizes the process of converting plain text into structured SQL queries. Designed for developers and data analysts, this API leverages advanced artificial intelligence algorithms to transform natural language descriptions or requirements into accurate and functional SQL queries.

Using the AI Text-to-SQL API is incredibly convenient and efficient. With a simple API call, developers can integrate it seamlessly into their applications or data workflows. By providing textual input that describes the desired information retrieval from a database, the API analyzes the text, understands its meaning, and generates corresponding SQL queries.

This API supports a wide range of SQL query types, including SELECT, INSERT, UPDATE, and DELETE statements, as well as complex queries involving joins, subqueries, and aggregations. It ensures that the generated queries adhere to SQL syntax and best practices, producing reliable and optimized results.

One of the key advantages of the AI Text to SQL API is its ability to handle complex queries and understand the nuances of the database schema. It can interpret natural language descriptions that involve multiple tables, filtering conditions, sorting, grouping, and more. This empowers developers and data analysts to express their information retrieval requirements in a more intuitive and efficient manner.

The AI Text to SQL API caters to a wide range of use cases. It can be used for building intelligent chatbots or virtual assistants that interact with databases, simplifying user interactions by allowing them to query data using natural language. It also benefits data analysts who can quickly convert their analytical questions or report requirements into SQL queries without the need for manual coding.

By automating the process of SQL query generation, the API significantly reduces development time and minimizes the risk of human errors. It also promotes collaboration between technical and non-technical team members by enabling them to communicate their data requirements in plain text, facilitating a more seamless and efficient data analysis process.

In summary, the AI Text to SQL API is a game-changer in the field of data retrieval and analysis. It empowers developers and data analysts to effortlessly generate SQL queries from text input, simplifying the process of interacting with databases and extracting valuable insights. With its accuracy, flexibility, and ease of use, this API is a valuable asset for any application or workflow that involves querying data using natural language.

 

What your API receives and what your API provides (input/output)?

Pass a text explaining what code you want to generate, and receive the code for your use. 

 

What are the most common uses cases of this API?

  1. Natural Language Database Interfaces: The AI Text to SQL API can be used to create natural language database interfaces where users can input their queries in plain text. This allows non-technical users to interact with databases using everyday language, making data retrieval more accessible and user-friendly.

  2. Data Analysis and Reporting: Data analysts can leverage the API to convert their analytical questions or reporting requirements written in natural language into SQL queries. This enables them to quickly retrieve the desired data from databases, speeding up the data analysis process and facilitating insightful reporting.

  3. Chatbots and Virtual Assistants: Chatbots or virtual assistants can utilize the AI Text to SQL API to understand and process user queries in natural language and generate corresponding SQL queries to fetch the requested data. This enables more conversational interactions with databases, enhancing the user experience.

  4. Automated Data Extraction: The API can be integrated into data extraction pipelines or data integration workflows, where textual descriptions or specifications of required data can be converted into SQL queries. This automation streamlines the process of fetching relevant data from multiple sources or databases.

  5. Education and Learning: The AI Text to SQL API can serve as an educational tool for individuals learning SQL. Students can input their queries in plain text and observe the generated SQL queries, helping them bridge the gap between natural language and SQL syntax. It promotes a better understanding of SQL query structure and enhances learning outcomes.

 

Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations.

API Documentation

Endpoints


Generate an SQL query from text. 



                                                                            
GET https://zylalabs.com/api/2046/ai+text+to+sql+api/2911/get+query
                                                                            
                                                                        

Get Query - Endpoint Features
Object Description
user_content [Required] Input and schema.
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            ["SELECT * FROM user WHERE city IN ('LA', 'NYC')"]
                                                                                                                                                                                                                    
                                                                                                    

Get Query - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/2046/ai+text+to+sql+api/2911/get+query?user_content="input": "find all user from LA and NYC",     "schema": "user(id, name, city, state) "' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the AI Text to SQL API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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 Service Level
100%
 Response Time
614ms

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