Guides for Agentic Analytics

Practical guides for turning operational data into governed metrics, reusable datasets, and traceable answers across Supabase, Postgres, and connected business systems.

Guides for Agentic Analytics

Learn best practices and tips for AI-native analytics and data workflows.

HOW TO

Getting Your Data Out of Supabase, Stripe and PostHog

A comparison of direct vendor access, warehouses, and datasets for founders whose product, revenue, and usage live in three tools.

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HOW TO

Supabase MCP Server: Setup, Tools, and What It Can Reach

The hosted Supabase MCP server set up properly: OAuth instead of tokens, one project, read-only where it counts.

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HOW TO

Agent observability: how do you know the agent was right?

Tracing tells you what the agent did. It doesn't tell you the number is right. Here's what does.

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HOW TO

MCP Security: Giving an Agent Access to Operational Data Safely

Two things go wrong when an agent can query production: it can leak data it was allowed to read, and it can take your database down without leaking anything. Here are three ways to contain both.

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HOW TO

How to schedule a Claude Cowork task that reports reliable numbers

Stop getting a different answer to the same question each week. Fix the query and the grain once, store it, and let a scheduled agent report from it.

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HOW TO

How to Give Your Agent a Searchable Catalog of Company Data

Compare four ways to make company data searchable and usable by AI agents, from schema documentation and direct database access to MCP servers and Dreambase.

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HOW TO

How to Create an Agentic Analytics Dashboard

Compare four ways to create an analytics dashboard, including spreadsheets, BI tools, one-off AI visualizations, and governed Dreambase dashboards for Supabase.

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WHAT IS

What Is a Dataset for Agents?

A dataset is a structured collection of related data organized for a specific analytical purpose. Learn how datasets work, how they differ from tables and data marts, and how AI agents use them.

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WHAT IS

What Are AI Data Connectors?

A data connector is software that lets an analytics product communicate with a data source. Learn how connectors authenticate, discover schemas, move or query data, and stay reliable.

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HOW TO

How to Make an Agent Into a Data Analyst With MCP

MCP connects an agent to data tools. A reliable analyst workflow also needs governed queries, reusable semantics, validation, provenance, and shareable outputs.

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COMPARISON

AI Analytics Platforms: A Practical Comparison

Compare PostHog, Amplitude, Cube, Hex, and Dreambase by the analytical job each platform owns and how the layers can work together.

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HOW TO

How to improve your Supabase database health with MCP

Set up the Dreambase MCP and skills, run one prompt to get a Supabase health report as an infographic, then let your agent apply the high-priority fixes and benchmark the results over time.

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HOW TO

How to build a full-time SRE agent that monitors Supabase and Vercel

Extend Supabase's 'hire an agent' pattern into a daily Claude Cowork task that reads Vercel and Supabase logs, benchmarks health in Dreambase, writes a designed SRE review, and alerts Slack only when something is wrong.

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