MarcoPolo

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Real data work usually means bouncing between a database console, an API, a CRM, and a shell — MarcoPolo puts all of that behind one secure, scoped-credential workspace instead. Connect databases, APIs, S3, lakehouses, CRMs, Jira, and logs, then query and transform that data with DuckDB, Python, or a shell, with the workspace persisting so a report you started today is still there tomorrow.

• Connect databases, APIs, S3, lakehouses, CRMs, Jira, and logs with scoped credentials
• Query, transform, and analyze that data with DuckDB, Python, and a shell
• Workspace persists over time so reports, debugging, and metric reviews carry across sessions

What you can automate

Data workspace	MarcoPolo spins up a secure workspace where you can connect databases, APIs, S3, lakehouses, CRMs, Jira, and logs using scoped credentials, then query, transform, and analyze that data with DuckDB, Python, and a shell. Your workspace persists over time so you can prep reports, debug issues, and review metrics across sessions.
Persistent sessions	Workspace persists across sessions for ongoing reports and debugging.

Real workflows

Debug a data issue across multiple sources in one place

Ask Neotask to pull last week's error logs and cross-reference them against a Postgres table via MarcoPolo's DuckDB workspace — the workspace stays live so you can pick the investigation back up tomorrow.

Frequently asked questions

What does the MarcoPolo connection actually do?

MarcoPolo spins up a secure workspace where you can connect databases, APIs, S3, lakehouses, CRMs, Jira, and logs using scoped credentials, then query, transform, and analyze that data with DuckDB, Python, and a shell. Your workspace persists over time so you can prep reports, debug issues, and review metrics across sessions.

Are my credentials shared broadly across tools?

No — MarcoPolo connects sources using scoped credentials specific to the workspace.