Supabase

Supabase is a backend development platform built around PostgreSQL that provides databases, authentication, storage, APIs, and other infrastructure for applications. Developers use it to store application data, manage users, power SaaS products, and build backend services without managing every infrastructure component themselves.

In Fetch Hive, the Supabase integration allows workflows to interact with application and business data stored in Supabase. This makes it useful when AI agents or automated workflows need to retrieve information, process records, enrich data, or write results back into an application database.

Use Cases

Database enrichment

Retrieve records from Supabase, process them through AI models or workflow steps, and use the resulting information to enrich existing application data.

AI-powered application workflows

Use Supabase as the data layer behind AI workflows. A workflow can work with application records, customer information, content, or other structured data before passing it into models, agents, or additional integrations.

Automated data processing

Use Fetch Hive to process database records as part of a repeatable workflow. This can include classification, summarisation, extraction, research, enrichment, or other automated processing tasks.

Why use Supabase with Fetch Hive?

Supabase allows Fetch Hive workflows to work directly with structured application data instead of requiring developers to manually move information between systems. Database records can become inputs to workflows, while processed results can be used by later workflow steps or written back into your application.

Fetch Hive also adds observability around these automated processes. You can inspect trace logs, see which steps accessed or processed data, understand where failures happened, and track the cost of each workflow run. This is particularly useful when AI processing becomes part of a production application.

FAQ

What can the Supabase integration do in Fetch Hive?

The Supabase integration allows Fetch Hive workflows to work with data stored in Supabase, making it useful for database-driven automation, enrichment, AI processing, and application workflows.

Can I use Supabase data inside AI workflows?

Yes. Data retrieved from Supabase can be passed into AI models, agents, and other workflow steps for processing or analysis.

Can Fetch Hive process Supabase records automatically?

Yes. Fetch Hive workflows can be used to automate processing tasks such as classification, summarisation, enrichment, extraction, or research using database records as inputs.

How does Fetch Hive help track Supabase workflows?

Fetch Hive logs the steps involved in processing your data, allowing you to see what happened during each run, identify failures, and inspect how the final output was produced.

Can Fetch Hive track the cost of AI workflows using Supabase?

Yes. Fetch Hive tracks workflow costs, helping you understand how much automated processing and AI operations cost across each workflow run.