Automate Google Sheets + PostgreSQL
The database every team already has open. The production database your reports should come from. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.
Report Assembler already works across Google Sheets and PostgreSQL — free, and it runs on your machine.
Automations teams run
Unlike field-mapping automation, the step in the middle is an agent: it can summarise, classify, judge and draft, not merely copy values from Google Sheets into PostgreSQL.
When a row is added or edited in Google Sheets…
…an agent can run parameterised queries in PostgreSQL — after reading the context and deciding it should.
When a sheet crosses a threshold in Google Sheets…
…an agent can write validated rows in PostgreSQL — after reading the context and deciding it should.
When a schedule fires in Google Sheets…
…an agent can produce report extracts in PostgreSQL — after reading the context and deciding it should.
When a scheduled query runs in PostgreSQL…
…an agent can append and update rows in Google Sheets — with the reasoning recorded in the run’s receipt.
When a threshold is crossed in PostgreSQL…
…an agent can read ranges for reporting in Google Sheets — with the reasoning recorded in the run’s receipt.
The Google Sheets and PostgreSQL hand-off, setup template
Start with the google-sheets-api node and a custom-api call to {host}:5432. Configure the Google Sheets source payload, the agent input, and the PostgreSQL operation. The sequential template does not implement conditional writes or approval by itself.
This is a schema-checked starting point, not an end-to-end tested automation. Replace every CONFIGURE_ value, choose the operations you intend, connect credentials and map source outputs into later inputs. An edge orders steps; it does not supply a condition, an approval gate or a field mapping. Add and test those controls explicitly before any write. Cloud APIs and model providers may receive data. Keep the workflow inactive until tested with fixtures.
{
"id": "14c40512-d181-4b59-a533-184dc012ec2e",
"name": "Google Sheets → PostgreSQL",
"nodes": [
{
"id": "3e4af6c0-85c8-4d10-a49a-88303b1a156c",
"text": "Watch Google Sheets",
"x": 512,
"y": 144,
"isEditing": false,
"type": "google-sheets-new-row",
"icon": "connect",
"category": "trigger",
"isSelected": false,
"parameters": {
"spreadsheetId": "CONFIGURE_SPREADSHEETID",
"sheetName": "CONFIGURE_SHEETNAME"
},
"description": "Setup template for Google Sheets New Row. Listen for new rows added to a specified Google Sheet and trigger the workflow when a new row is detected. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "ae70cb1f-3128-452b-a7b9-80d2de01eec2",
"text": "Review source and draft",
"x": 512,
"y": 336,
"isEditing": false,
"type": "agnt-agent",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"agentId": "CONFIGURE_AGENTID",
"message": "Read the Google Sheets item. Decide whether it warrants action in PostgreSQL, and explain why.\nSource input: CONFIGURE_SOURCE_INPUT. Produce a reviewable draft only; do not take external actions."
},
"description": "Setup template for Agent Chat. Chat with an AI agent from your agent library. Select an agent and send messages to interact with it within your workflow. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "1438a412-0819-4fa2-aa06-50485ee15510",
"text": "Call PostgreSQL",
"x": 512,
"y": 528,
"isEditing": false,
"type": "custom-api",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"url": "postgresql://{user}:{password}@{host}:5432/{database}",
"method": "GET",
"authType": "None",
"query": "",
"headers": "{}"
},
"description": "Setup template for Custom API Request. This action node makes a custom API request to any endpoint with configurable method, headers, and authentication. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
}
],
"edges": [
{
"id": "4acf16a0-bea5-46a9-a3a6-f3c391a6a962",
"start": {
"id": "3e4af6c0-85c8-4d10-a49a-88303b1a156c",
"type": "output"
},
"end": {
"id": "ae70cb1f-3128-452b-a7b9-80d2de01eec2",
"type": "input"
},
"startX": 800,
"startY": 168,
"endX": 512,
"endY": 360
},
{
"id": "e59d8657-6044-4745-a23c-6958c9cff26e",
"start": {
"id": "ae70cb1f-3128-452b-a7b9-80d2de01eec2",
"type": "output"
},
"end": {
"id": "1438a412-0819-4fa2-aa06-50485ee15510",
"type": "input"
},
"startX": 800,
"startY": 360,
"endX": 512,
"endY": 552
}
],
"zoomLevel": 1,
"canvasOffsetX": 0,
"canvasOffsetY": 0,
"isTinyNodeMode": false
}Configure Google Sheets New Row
Listen for new rows added to a specified Google Sheet and trigger the workflow when a new row is detected.
- spreadsheetId — The ID of the Google Spreadsheet to monitor Current example:
CONFIGURE_SPREADSHEETID. - sheetName — The name of the sheet within the spreadsheet to monitor Current example:
CONFIGURE_SHEETNAME.
Configure Custom API Request
This action node makes a custom API request to any endpoint with configurable method, headers, and authentication.
- url — The URL of the API endpoint Current example:
postgresql://{user}:{password}@{host}:5432/{database}. - method — The HTTP method for the request Current example:
GET. - authType — The type of authentication Current example:
None. - query — Query parameters for the request (e.g., 'key1=value1&key2=value2') Current example:
. - headers — Optional headers for the request. e.g., {"Content-Type": "application/json"} Current example:
{}.
Install Report Assembler
Report Assembler already uses both Google Sheets and PostgreSQL, so installing it gives you this exact hand-off wired up — connected, editable, and running on your own machine.
Runs on your own machine · See what it does
Build it in AGNT
- Install AGNT — it runs on your own machine and needs no account to start.
- Authorise PostgreSQL (a local endpoint on your own machine) and Google Sheets (one OAuth sign-in). Nothing is stored anywhere but your disk.
- Describe the job in plain language, or paste the definition above; google-sheets-api does the reading and custom-api the writing.
- Gate anything you would not want done unattended, then let it run and read the first receipt end to end.
Google Sheets and PostgreSQL — common questions
Can I connect Google Sheets to PostgreSQL without writing code?
No code is required. Add both connections in the vault (Google Sheets uses one OAuth sign-in, PostgreSQL uses a local endpoint on your own machine), then either install a marketplace workflow for this pair or drag the two nodes onto the canvas and put an agent between them.
How is this different from a field-mapping Google Sheets to PostgreSQL automation?
A field mapping copies values and breaks on the first record nobody anticipated. The middle step here reads the Google Sheets item in full and decides — whether it matters, how to summarise it, and what belongs in PostgreSQL. Deciding to do nothing is a valid outcome, which no mapping can express.
Does my Google Sheets and PostgreSQL data leave my machine?
Your credentials stay in a vault on your own disk rather than in someone else’s cloud. The only calls made are the ones the workflow needs: Google Sheets, PostgreSQL, and your chosen model provider — which can be a local one.
What does a Google Sheets and PostgreSQL run leave behind?
A receipt: what was read in Google Sheets, which tools ran with which arguments, what the agent concluded, and what it wrote to PostgreSQL. Anything consequential can sit behind an approval gate so a person signs off before it happens.
