Connect PostgreSQL to Airtable with an AI agent
An agent watches rows via read-only queries in PostgreSQL, decides what matters, and creates or updates a record in Airtable. Velaris connects PostgreSQL and Airtable through its capability mesh, so you describe the outcome instead of drawing a trigger-and-action flowchart — and anything outbound or irreversible waits for your approval.
Airtable is on the roadmap — join the list to get it first.
What you can automate
- Velaris can inspect schemas, tables and columns in PostgreSQL, judge what's worth acting on, and creates or updates a record in Airtable — so the numbers stay current without a manual export.
- Move records between two data tools without re-keying them: the agent maps the fields itself and flags anything ambiguous instead of guessing.
- On a schedule or on a trigger, it can sync with other tools in Airtable from what it found in PostgreSQL — every write logged, scoped and reversible.
How it works
- 1
Connect PostgreSQL and Airtable
Authorize both tools with scoped access you control.
- 2
Say what you want
Describe the outcome in a sentence — no trigger/action graph to draw.
- 3
Set the approval tier
Reads run automatically; outbound or irreversible steps wait for your tap.
Common questions
Can Velaris connect PostgreSQL to Airtable without code?
Yes. Connect both tools, then describe the outcome in plain language — the agent selects the right actions from the capability mesh itself. There's no flowchart to build.
How is this different from a PostgreSQL-to-Airtable Zap or automation?
A rule fires the same way every time. An agent reads the PostgreSQL context, decides whether it matters, and adapts what it does in Airtable — pausing for approval on anything outbound or irreversible.
Will it act in Airtable without asking me?
Only for read-only steps. Writes are logged, and anything destructive or outbound needs an explicit human approval — credentials are scoped to the run and expire with it.