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), in three nodes
Concretely: a custom-api call to {host}:5432 on one side, the twitter-api node on the other, and an agent in between that can decline. Deciding not to write into X (Twitter) is a recorded outcome, not a silent one.
{
"id": "4f8cd57c-d4f2-477c-ad36-0be4cc6e8bc4",
"name": "PostgreSQL → X (Twitter)",
"nodes": [
{
"id": "743ae328-9353-42a1-aba1-36f12e02c932",
"text": "Poll PostgreSQL",
"x": 512,
"y": 144,
"isEditing": false,
"type": "trigger-timer",
"icon": "connect",
"category": "trigger",
"isSelected": false,
"parameters": {
"interval": "15",
"unit": "minutes"
},
"description": "Checks PostgreSQL on a schedule.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "079ef78a-90d8-439e-a912-7180509c99fc",
"text": "Read it and decide",
"x": 512,
"y": 336,
"isEditing": false,
"type": "agnt-agent",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"instructions": "Read the PostgreSQL item. Decide whether it warrants action in X (Twitter), and explain why."
},
"description": "Decides whether this PostgreSQL item warrants anything in X (Twitter).",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "a1db906d-c039-418f-a6ee-2d94b10806be",
"text": "Act in X (Twitter)",
"x": 512,
"y": 528,
"isEditing": false,
"type": "twitter-api",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"action": "POST"
},
"description": "Interact with Twitter to post, quote, reply, delete, retrieve tweets, search, manage follows, and fetch profiles/conversations.",
"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
}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.
- Build the three 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.
