MarcoPolo

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.

Plans

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