What are Definite 'credits' used for?

Credits are used for compute and AI tasks. 1 credit equals 1 compute hour or 100,000 AI tokens. Overage is typically charged at $1 per credit.

Does Definite replace my data warehouse?

Yes, Definite provides a built-in data lakehouse, but it can also read from your existing warehouse while adding a semantic layer for AI interaction.

Can I trust the AI-generated SQL?

Definite is built for auditability. You can click on any number or chart to see the specific SQL code used to generate it, ensuring transparency and accuracy.

What is the benefit of the Semantic Layer?

The semantic layer ensures that complex metrics like MRR or Churn are defined once. When you ask the AI a question, it uses these definitions so results are consistent across all reports.

Which AI agents can I use with Definite?

Definite supports the Model Context Protocol (MCP), meaning you can connect agents like Claude, Cursor, or custom-built agents directly to your data context.

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Data analysis

Freemium

Definite

An AI-native data platform that unifies 500+ sources. Use natural language to build dashboards, manage pipelines, and query data with an auditable semantic layer.

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Rating

Reviews

Upvotes

3 months ago

Listed

Data analysis

Business Intelligence

ETL

Data Warehouse

AI Agent

Predictive Analytics

No-Code

Semantic Layer

SQL Generator

Data Visualization

Tool information

Provider

Definite

Platforms

Web

Languages

English

API Available

Yes

Added to directory

3 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About Definite

What the tool does and who it's for

Definite is an all-in-one AI-native data platform designed to replace the fragmented modern data stack. It integrates data ingestion from over 500 sources, a managed data lake, and a semantic layer with an AI assistant named 'Fi'. Unlike traditional BI tools that require manual SQL and dashboard building, Definite allows users to generate full data applications—complete with sidebars, filters, and auditable KPIs—using natural language. It features browser-native speed via DuckDB-Wasm, allowing users to search millions of rows with sub-second latency, and supports the Model Context Protocol (MCP) to provide data context to external AI agents like Claude and Cursor.

Key capabilities

500+ Pre-built Connectors: Effortlessly sync data from platforms like Stripe, HubSpot, and Salesforce.

Fi AI Assistant: An AI-native analyst that writes SQL, builds dashboards, and manages data syncs.

Integrated Semantic Layer: Define metrics once to ensure consistent answers across the entire organization.

Browser-Native Speed: Uses DuckDB-Wasm for sub-second search and filtering across millions of rows.

Full Data Apps: Goes beyond static charts to create interactive applications with filters and KPIs.

Auditable Numbers: Every AI-generated result can be clicked to inspect the underlying SQL and logic.

MCP Support: Native Model Context Protocol support to give external AI agents warehouse context.

Automated Pipelines: Handles ingestion, transformation, and storage in a single managed environment.

Pricing

Freemium — plans below

Growth

2 users included
2 connectors
Fi AI assistant
Daily sync frequency
1 GB storage
5 credits per month

Platform

Enterprise

Contact sales

1,000+ credits per month
SSO (SAML / OIDC)
SOC 2 Type II compliance
Near real-time sync
Dedicated support & SLA
Audit logs & SCIM

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