Overview

Metabot AI is an AI assistant tool integrated into the Metabase platform. It offers an array of functionalities to facilitate data exploration, SQL generation, and summarisation of results.

Metabot AI is designed to understand natural language queries, provide relevant answers, and generate or debug SQL queries, allowing users to interact with their data in conversational language.

It can transform charts into concise summaries with a single click, saving the need for copying into external systems. Metabot AI emulates the permissions of the logged-in user, ensuring data security and compliance with existing access layers.

It operates within the existing data governance and context layer, without the need to move, ingest, or sync data. This makes Metabot AI suitable for teams with strict data boundaries or customer data segregation needs.

Furthermore, Metabot AI utilises the semantic layer of the user's existing models, metrics, and definitions to provide responses. This tool also promotes efficiency by first searching for existing dashboards or questions before executing a new query.

In addition to these features, Metabot AI can be embedded into a user's product to supply AI-powered analytics to customers. The tool's development is continually updated to improve functionality and capabilities.

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Initial release

January 13, 2026

Initial release of Metabot AI.

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Freemium

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$100/month

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Monthly

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Pros and Cons

Pros

Integrated into Metabase platform

Facilitates data exploration

Generates SQL

Summarises results

Understands natural language queries

Generates or debugs SQL queries

Transforms charts into summaries

Ensures data security

Ensures data compliance

Operates within existing data governance

Supports strict data boundaries

Uses semantic layer

Efficient execution strategy

Can be embedded into products

Constant development updates

Eliminates need for copying

Data interaction in conversational language

Customer data segregation support

Searches for existing dashboards

Integrated assistant for data works

Works within existing setups

Ideal for teams with strict boundaries

Eliminates data movement

Surfaces existing answers

Assists data exploration

Helps generate SQL

Provides result summaries

Transparent functioning

View 23 more pros

Cons

Limited to Metabase platform

Strongly reliant on permissions

Queries tied to existing models

Limited query execution efficiency

Cannot operate outside existing data governance

Potential lag from constant updates

Strict data boundaries limit flexibility

No explicit multilingual support

Absence of offline functionality

No explicitly detailed error handling

View 5 more cons

Q&A

What is Metabot AI?

Metabot AI is an artificial intelligence tool integrated into the Metabase platform, offering functionalities for data exploration, SQL generation, and summarization of results. It is designed to understand natural language queries, provide relevant answers, and generate or debug SQL queries.

How does Metabot AI facilitate data exploration?

Metabot AI facilitates data exploration by understanding natural language queries. It generates relevant answers and transforms them into SQL queries, allowing you to interact with your data in a conversational language.

How does Metabot AI generate SQL?

Metabot AI generates SQL by interpreting natural language queries. It understands the question asked in natural language and then converts that question into a SQL query that can produce the requested data.

Can Metabot AI debug SQL queries?

Yes, Metabot AI can debug SQL queries. It is designed to troubleshoot and resolve issues with broken or failing SQL queries.

In what ways can Metabot AI interpret natural language queries?

Metabot AI interprets natural language queries by understanding the question asked and transforming it into actionable insights. It breaks down the natural language query into recognizable patterns and transforms those patterns into a structured format that can be used to generate SQL queries.

How can Metabot AI summarize my data results?

Metabot AI summarizes your data results by transforming charts into concise summaries. With a single click, it can convert complex visual data representations into textual summaries.

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How does Metabot AI ensure data security and compliance?

Metabot AI ensures data security and compliance by emulating the permissions of the logged-in user. Therefore, access to data is governed by existing permissions set for the user.

What does it mean that Metabot AI operates within existing data governance and context layer?

Operating within the existing data governance and context layer means that Metabot AI uses the structural guidelines set by your data architectures and rules. It leverages the predefined business definitions, models, and metrics to answer queries, without the need for copying data or moving it to external systems.

How is Metabot AI suitable for teams with strict data boundaries or customer data segregation needs?

Metabot AI is suitable for teams with strict data boundaries or customer data segregation needs since it does not require data movement or syncing. Queries run directly against your warehouse, and Metabot AI adheres to existing permissions, ensuring it doesn't access data it's not authorized to view.

How does Metabot AI use existing models, metrics, and definitions to provide responses?

Metabot AI utilizes the existing models, metrics, and definitions (known as the semantic layer) to provide responses. By referring to these predefined aspects, the AI can generate accurate and context-appropriate answers.

How does Metabot AI improve efficiency in SQL query execution?

Metabot AI improves efficiency in SQL query execution by first searching for existing dashboards or questions before executing a new query. This feature saves time and reduces the duplication of logic.

Can I embed Metabot AI in my product?

Yes, you can embed Metabot AI in your product, providing AI-powered analytics to your customers.

What kind of analytics can Metabot AI provide if embedded in my product?

When embedded in your product, Metabot AI can provide an AI interface for your customers to get answers to their data queries easily. It allows your customers to ask questions in plain language and receive insights and analytics returned in an easy-to-understand format.

How often is Metabot AI updated to improve capabilities and functionalities?

The development of Metabot AI is continually updated to improve its functionality and capabilities. However, the exact frequency isn't specified on their website.

Does Metabot AI copy the permissions of the logged in user?

Yes, Metabot AI emulates the permissions of the logged-in user. This ensures that it operates within the data security guidelines set for each specific user.

Can Metabot AI transform charts into summaries with a single click?

Yes, Metabot AI can transform charts into summaries with a single click. This feature removes the need for the manual labor of copying into external systems.

Does Metabot AI require data movement, ingestion, or sync to function?

No, Metabot AI doesn't require data movement, ingestion, or sync to function. It operates within the existing data governance and context layer, working with your warehouse without the need to ingest, store, or sync your data.

How does Metabot AI handle data segregation needs?

Metabot AI handles data segregation needs by impersonating the permissions of the logged-in user. This feature blocks access to data the user isn't authorized to view, ideal for teams with strict boundaries or customer data segregation requirements.

How can I integrate Metabot AI into the Metabase platform?

Integrating Metabot AI into the Metabase platform is as simple as using Metabase. As an integrated tool, Metabot AI works within the existing platform without the need for additional setup.

Can Metabot AI interact with data using conversational language?

Yes, Metabot AI is designed to interact with data using conversational language. This feature contributes to the ease of use of the tool, making it accessible to users even without technical SQL knowledge.

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