Automate PostgreSQL + X (Twitter)
The production database your reports should come from. The feed where your market thinks out loud. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.
Report Assembler is a ready-made agent built around PostgreSQL; point its last step at X (Twitter) to finish this hand-off.
Automations teams run
Each of these runs with a reasoning step between the two tools, so what reaches X (Twitter) is a decision about the PostgreSQL event rather than a transcription of it.
When a scheduled query runs in PostgreSQL…
…an agent can post threads and replies in X (Twitter) — after reading the context and deciding it should.
When a threshold is crossed in PostgreSQL…
…an agent can collect engagement metrics in X (Twitter) — after reading the context and deciding it should.
When a mention or keyword appears in X (Twitter)…
…an agent can run parameterised queries in PostgreSQL — with the reasoning recorded in the run’s receipt.
When a schedule fires in X (Twitter)…
…an agent can write validated rows in PostgreSQL — with the reasoning recorded in the run’s receipt.
PostgreSQL to X (Twitter), setup template
Start with a custom-api call to {host}:5432 and the twitter-api node. Configure the PostgreSQL source payload, the agent input, and the X (Twitter) 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": "4f8cd57c-d4f2-477c-ad36-0be4cc6e8bc4",
"name": "PostgreSQL → X (Twitter)",
"nodes": [
{
"id": "743ae328-9353-42a1-aba1-36f12e02c932",
"text": "Run on a schedule",
"x": 512,
"y": 144,
"isEditing": false,
"type": "trigger-timer",
"icon": "connect",
"category": "trigger",
"isSelected": false,
"parameters": {
"fireOnStart": "No",
"scheduleType": "Interval",
"schedule": "Every 15 Minutes"
},
"description": "Setup template for Timer Trigger. This trigger node fires the workflow at specified intervals or at a specific time. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "079ef78a-90d8-439e-a912-7180509c99fc",
"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 PostgreSQL item. Decide whether it warrants action in X (Twitter), 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": "a1db906d-c039-418f-a6ee-2d94b10806be",
"text": "Configure destination in X (Twitter)",
"x": 512,
"y": 528,
"isEditing": false,
"type": "twitter-api",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"action": "POST",
"text": "CONFIGURE_TEXT"
},
"description": "Setup template for X (Twitter) API. Interact with Twitter to post, quote, reply, delete, retrieve tweets, search, manage follows, and fetch profiles/conversations. Configure credentials, inputs and output mapping before use.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
}
],
"edges": [
{
"id": "2fae9005-c9b7-4cd2-a344-7287071928d8",
"start": {
"id": "743ae328-9353-42a1-aba1-36f12e02c932",
"type": "output"
},
"end": {
"id": "079ef78a-90d8-439e-a912-7180509c99fc",
"type": "input"
},
"startX": 800,
"startY": 168,
"endX": 512,
"endY": 360
},
{
"id": "95fe59e4-6c3c-4907-a62b-c279bf0f94fe",
"start": {
"id": "079ef78a-90d8-439e-a912-7180509c99fc",
"type": "output"
},
"end": {
"id": "a1db906d-c039-418f-a6ee-2d94b10806be",
"type": "input"
},
"startX": 800,
"startY": 360,
"endX": 512,
"endY": 552
}
],
"zoomLevel": 1,
"canvasOffsetX": 0,
"canvasOffsetY": 0,
"isTinyNodeMode": false
}Configure X (Twitter) API
Interact with Twitter to post, quote, reply, delete, retrieve tweets, search, manage follows, and fetch profiles/conversations.
- action — The action to perform on Twitter Current example:
POST. - text — The content of the tweet, reply, or quote tweet Current example:
CONFIGURE_TEXT.
Install Report Assembler
Report Assembler is a working agent built around PostgreSQL. Install it, point its last step at X (Twitter), and you have this hand-off without building it from an empty canvas.
Runs on your own machine · See what it does
Wiring PostgreSQL to X (Twitter)
- Get AGNT Community Core. Free, local, no sign-up needed to run a workflow.
- Add both connections to the vault — PostgreSQL takes a local endpoint on your own machine, X (Twitter) takes one OAuth sign-in.
- Configure the nodes above, or start from a marketplace workflow and edit it. The agent in the middle is the part worth spending time on.
- Run it once with an approval gate in place. The receipt tells you what it read, what it concluded, and what it changed in X (Twitter).
PostgreSQL and X (Twitter) — common questions
Can I connect PostgreSQL to X (Twitter) without writing code?
No code is required. Add both connections in the vault (PostgreSQL uses a local endpoint on your own machine, X (Twitter) uses one OAuth sign-in), 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 PostgreSQL to X (Twitter) automation?
The difference shows up on the messy inputs. A rule chain needs every case enumerated in advance; an agent handles metrics pulled straight from source the way a colleague would — reading the PostgreSQL context, judging it, then writing to X (Twitter) with the reasoning recorded.
Does my PostgreSQL and X (Twitter) data leave my machine?
Not to us. AGNT runs locally and both sets of credentials are encrypted on your own disk. Outbound traffic goes only to PostgreSQL, X (Twitter) and whichever model you chose — and pointing that at Ollama or LM Studio keeps everything on your hardware.
What does a PostgreSQL and X (Twitter) run leave behind?
Every run is recorded end to end — the PostgreSQL items examined, the decision and its reasoning, the resulting X (Twitter) write. That record is what makes it reasonable to let this run unattended, and what lets you widen its remit on evidence.
