Table Trigger
input.table Input v0.1.0 Starts the workflow when a row changes in a Flowdrome Table — created, updated or deleted (pick the kinds, or react to all). Each change becomes one run carrying { table, rowId, event, row }. Deployed, it polls the table's change feed; in the editor, seed it with a sample change and Test.
Finding it in the library
Search the builder's node library for Table Trigger (it lives under Input). A single click opens the in-editor docs panel shown here — description, ports, and every property, without leaving the canvas. Double-click (or drag) to add it to the workflow.
Library capture pending — regenerate with npm run shots:nodes.
Wired up in the builder
Table Trigger in a real, runnable flow — captured live from the Studio editor, exactly as it looks on your canvas. This is the same workflow used for the example input & output below.
Canvas capture pending — regenerate with npm run shots:nodes.
How it’s configured
The node’s Configure panel as it opens in the builder when you select the step — every setting laid out with real values. Click any field to edit it.
Config capture pending — regenerate with npm run shots:nodes. See the full property reference below.
Ports
This is a trigger — it starts runs and takes no input wire.
Ports are the node’s contract with its neighbours. In the editor a port label renders bold when wired and italic when optional; ◈ ports accept attachment carriers rather than data wires.
| Direction | Port | Label | What flows through it |
|---|---|---|---|
| Output | output | Change |
How data flows through it
As a trigger, Table Trigger starts runs — it takes no input wire. What it emits is
the request wrapper: the event’s body becomes the payload, and the wrapper
carries the event metadata around it (for an HTTP-style trigger that’s
headers.*, request.method, request.path and
query). Downstream nodes consume the content — the wrapper is unwrapped
at each node boundary, and expression roots like {{ headers.x }} still
resolve against the wrapper when you need the metadata. See
Runs & run data for the envelope model.
Expressions in the config
String-typed properties accept {{ }} expressions evaluated against the
incoming item at run time — e.g. {{ $json.customer.email }}. On this node
that’s table, baseUrl, token. JSON- and code-typed fields never interpolate — they are passed through literally.
Build it with AI
Every node in this reference is reachable through Flowdrome’s
AI Copilot and the
MCP tools — say what you want, and the graph surgery
happens server-side. Node types resolve fuzzily, so the catalog label
(Table Trigger) works as well as the exact type id (input.table).
In the Copilot panel (or any connected AI):
create a workflow that starts with table trigger and logs the result As a step in a create_chain_workflow call:
{"type":"Table Trigger","config":{}} Raw MCP call — add this node to a workflow with add_node
curl -s -X POST http://localhost:48170/mcp -H "content-type: application/json" -d '{ "jsonrpc": "2.0", "id": "1", "method": "tools/call", "params": { "name": "add_node", "arguments": { "workflowId": "<id>", "type": "Table Trigger" } } }' Example input & output
Captured from a real test run of the workflow above — this is what you see in the run data panel after pressing Test workflow.
Input — what the node received
{
"table": "Leads",
"tableId": "tbl_91197742d45f",
"rowId": "row_9706cc8b9320",
"event": "created",
"at": "2026-07-20T03:33:23.601+00:00",
"row": {
"email": "served2@live.test",
"score": 2,
"qualified": true,
"id": "row_9706cc8b9320",
"createdAt": "2026-07-20T03:33:23.588+00:00",
"updatedAt": "2026-07-20T03:33:23.588+00:00"
}
} Output — what the node produced
{
"table": "Leads",
"tableId": "tbl_91197742d45f",
"rowId": "row_9706cc8b9320",
"event": "created",
"at": "2026-07-20T03:33:23.601+00:00",
"row": {
"email": "served2@live.test",
"score": 2,
"qualified": true,
"id": "row_9706cc8b9320",
"createdAt": "2026-07-20T03:33:23.588+00:00",
"updatedAt": "2026-07-20T03:33:23.588+00:00"
}
} Property reference
Every setting, with its type and default — the same fields shown configured in the panel above.
| Property | Type | Default | Description |
|---|---|---|---|
Tabletable | string | "" | Which Flowdrome Table to watch — its name (e.g. Leads) or tbl_ id. Pick from your tables or open one to view/edit its rows. Must be set by run time (the editor badge flags it). |
Eventsevents | multiselect | [] | Change kinds that start a run. Empty = every kind (created, updated, deleted). createddeletedupdated |
Poll every (s)pollSeconds | int | 5 | How often the deployed trigger polls the table's change feed. Each detected change starts one run with { table, rowId, event, row }. |
Nucleus URLbaseUrl | string | "" | Override the Nucleus base URL the poll loop calls. Blank = the FLOWDROME_WORKER_SDK_URL env on the host (automatic on the built-in host). |
Nucleus tokentoken | string | "" | Override the Nucleus API token for the poll loop (View capability is enough). Blank = FLOWDROME_WORKER_SDK_TOKEN. |
Related nodes
The rest of the Input group — the same folder you’d scan in the editor’s library.
This page is generated from the node registry by gen-node-docs.mjs on every
site build — ports, properties, defaults and visibility rules cannot drift from the code.
The screenshots and example data are captured from a live Flowdrome by
npm run shots:nodes and npm run gen:examples.