Agent
Discoverability

NLSQL

Text-to-SQL data source setup

View in the ChatGPT registry
Integration details

Description

NLSQL turns a company database into a data source that people can query in plain English. This plugin sets that data source up for you in the chat, so you don't have to fill in the NLSQL configuration forms by hand. What it does: you paste your database schema (the output of a schema-only dump command the plugin gives you for MySQL, PostgreSQL, MSSQL, BigQuery, Snowflake, Amazon Redshift, SQLite or CQL). The plugin reads the tables, columns and joins, lets you choose what to include, and captures your KPIs, top-N rankings, filters and calculated metrics from plain-language descriptions. It then publishes the configuration to your NLSQL account. Afterwards you can add the known values of category columns to make answers more accurate. Who it is for: data, BI and engineering teams setting up NLSQL for their organisation. An NLSQL account is required; you sign in with it the first time you use the plugin. Limitations: the plugin never connects to your database and never asks for credentials or table data. It works only from the schema text you provide. It configures NLSQL but does not run queries or answer questions about your data; that happens in NLSQL's own apps once the data source is published. One data source is set up at a time per account.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Self-Serve BI & Conversational Analytics

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
NLSQL
Access
Account required
First tracked
2026-10-23
Tool count
4
Geography
US
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Primary Subcategory
Listed in alphabetical order
Primary Subcategory
ADECIComing soonGet notified
Adzviser Google AnalyticsComing soonGet notified
Adzviser ShopifyComing soonGet notified
AI for DatabaseComing soonGet notified
AI2SQLComing soonGet notified
NLSQLComing soonGet notified
Tools

4 tools agents can invoke

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FAQs

NLSQL ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve NLSQL's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are NLSQL alternatives on ChatGPT?

As of 2026-10-23, NLSQL competes with ADECI, Adzviser Google Analytics, Adzviser Shopify, AI for Database, AI2SQL, Alteryx Insights, Answer Charts, Artemis pour pharmacies and 67 more in ChatGPT Self-Serve BI & Conversational Analytics, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.