Actionist·PostgreSQL
PostgreSQL

PostgreSQL

· #120 most-used

Query, write, and react to your relational database

SpreadsheetsDatabaseAnalyticsDeveloperAutomation

PostgreSQL is the world's most advanced open-source relational database, trusted by development and data teams for its ACID compliance, rich SQL dialect, and extensibility. Connect it to Actionist and your agents can insert and update rows, run custom SQL queries, poll tables for new data, and feed results into any downstream app — turning your database into an active participant in your automation stack without exposing credentials or writing integration code.

Try PostgreSQL with ActionistVisit PostgreSQL
Average time saved
14 hours
per person · per month
≈ 2 workdays back

Eliminates manual work. Agents eliminate manual CSV exports, database queries for routine reports, helpdesk ticket creation from rows, CRM syncs, and weekly headcount or financial roll-ups — all tasks that previously required a human to open a query tool.

Schedule

What your PostgreSQL agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
Wed–Fri
Wed
Thu
Fri
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

PostgreSQL × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
8Apps spanned
~33 hrsSaved / week
6Personas served
For sales
Featured3 apps

New lead row triggers sales notification and CRM record

When a form submission or API event inserts a new row into the leads table, the agent reads the row data, checks HubSpot for a duplicate contact, creates a new CRM record if none exists, and posts the lead details to the #sales Slack channel — so reps receive every new lead within about a minute of it arriving in the database.

~13 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a new row is inserted into the leads table
Trigger
Step 1
PostgreSQL
New Row fires on the leads table
read
Step 2
HubSpot
Find existing contact by email
write
Step 3
HubSpot
Create contact if not found
write
Step 4
Slack
Post lead summary to #sales channel
write
Step 5
PostgreSQL
Update Row to mark lead as 'notified'
Result
Create contact if not foundPost lead summary to #sales channelUpdate Row to mark lead as 'notified'
The win
Saved per run
20 min
Runs / week
~40×
No new lead sits unnoticed in the database
Driven bySales Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    30 min / week
    Manual lead import from database

    Reps export CSVs from the database, dedupe by hand, import into the CRM, and update fields manually — a 30-minute exercise that repeats every time a batch of leads arrives.

    Sales Agent
    0 min
    Agent syncs new leads to CRM automatically

    When a new row appears in the leads table, the agent checks the CRM for duplicates, creates or updates the contact, and notifies the rep — all within about a minute of the row being inserted.

  • Marketing
    60 min / week
    Manual cohort CSV exports

    The marketing team writes a query, exports a CSV, imports it into the email platform, and tags each contact — a process that takes 30–60 minutes and is stale by the time it finishes.

    Marketing Agent
    0 min
    Agent runs the query and upserts the audience

    Every Monday the agent executes the segmentation query, upserts results directly into the email platform audience, and posts the cohort size to Slack — zero manual exports.

  • Customer Support
    25 min / week
    Manual ticket creation from database rows

    Support reps check the database for new support request rows and manually create helpdesk tickets — a task that delays response time and is often missed during busy periods.

    Customer Support Agent
    0 min
    Agent creates tickets from new rows automatically

    When a new row appears in the support_requests table, the agent creates the helpdesk ticket, notifies the on-call rep, and writes the ticket ID back to the row — within about a minute.

  • Human Resources
    45 min / week
    Manual onboarding setup on hire

    HR manually checks the employee table for new starters, creates the ClickUp project, sends the welcome email, and sets up Slack access — a 45-minute process per hire with multiple handoff risks.

    Human Resources Agent
    0 min
    Agent triggers full onboarding on new employee row

    When a new employee row is inserted, the agent creates the onboarding project, sends the welcome email, provisions Slack access, and writes all system IDs back to the row — automatically.

  • Finance
    45 min / week
    Manual overdue invoice identification

    Finance queries the database for overdue invoices, copies the list to a spreadsheet, and manually sends chase emails — a weekly process that takes 45 minutes and sometimes misses invoices.

    Finance Agent
    0 min
    Agent finds and chases overdue invoices automatically

    Every Friday the agent queries the invoices table, posts the overdue list to Slack, sends chase emails, and updates each row with the chase timestamp — no manual database query required.

  • Operations
    60 min / week
    Manual database health checks

    The operations team manually queries key tables to check row counts and queue depths each Monday, compares figures to memory or an outdated spreadsheet, and writes up a report — 60 minutes of repetitive SQL work.

    Operations Agent
    0 min
    Agent delivers the health digest automatically

    Every Monday the agent counts rows across operational tables, compares to prior-week snapshots, and posts a green/red digest to #operations — the team has a current picture before standup.

  • Legal
    30 min / week
    Manual contract and compliance deadline tracking

    Legal maintains a separate spreadsheet of contract and compliance deadlines, updating it manually each week by checking the database — a process that drifts out of sync and misses deadlines during busy periods.

    Legal Agent
    0 min
    Agent queries contracts table and alerts on deadlines

    Every week the agent queries the contracts and compliance_records tables and posts upcoming deadline alerts to #legal — the database is the single source of truth, no separate tracker required.

+ 100s of other PostgreSQL automations
Average time saved
30 hrs / person / month
Calculator

Calculate what your team saves

Team size
8 people
Hourly rate
$35 / hr
Hours saved / week
28
Hours saved / year
1,400
Annual ROI
$49,000

Based on PostgreSQL's typical team usage — the visible tasks plus a few other automations the agent runs: ~3.5 hrs / person / week of admin work automated.

Connect

How to plug PostgreSQL into Actionist

Pick the connection method that suits your environment.

Connect using your PostgreSQL host, port, database name, username, and password. Actionist establishes a TLS-encrypted connection and stores credentials securely.

1
Create a dedicated Actionist database user

In your PostgreSQL instance run: CREATE ROLE actionist LOGIN PASSWORD 'your-password'; then GRANT SELECT, INSERT, UPDATE, DELETE ON the tables your automation needs. Avoid using a superuser account.

2
Allow Actionist's IP in your firewall

If your database has a firewall or VPC security group, add Actionist's egress IP range to the allowed list. The IP range is shown in the connection setup panel.

3
Enter your connection details

Paste your host, port, database name, username, and password into the fields below and click Test Connection. Actionist runs a lightweight SELECT 1 to verify the handshake.

Credentials you'll need
Host*
Your PostgreSQL server hostname or IP address
Port*
Default is 5432
Database*
The name of the database to connect to
Username*
The PostgreSQL role to connect as
Password*
Password for the specified user
SSL
Set to 'require' to enforce TLS. Recommended for cloud-hosted databases.
Actions

13 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

5 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

FAQs

Questions about PostgreSQL + Actionist

How does Actionist connect to my PostgreSQL database?
You provide your PostgreSQL connection string — host, port, database name, username, and password — in the Actionist Apps tab. Actionist establishes a connection over an encrypted channel (TLS), runs a test query to confirm access, and stores the credentials securely. No database changes or extensions are required; Actionist uses standard PostgreSQL protocol.
Does Actionist work with cloud-hosted PostgreSQL like Neon, Supabase, RDS, or Cloud SQL?
Yes. Actionist connects to any PostgreSQL-compatible host that accepts incoming TCP connections — this includes Neon, Supabase, Amazon RDS, Google Cloud SQL, Azure Database for PostgreSQL, and self-hosted instances. You may need to add Actionist's egress IP range to your database firewall or VPC security group. Check your hosting provider's network access settings and allow-list the IP range shown in the Actionist connection setup.
What database permissions does the Actionist user need?
For read-only operations (Find Row, Find Rows via Custom Query, Count Rows, Get Table Schema, List Tables) the user needs SELECT on the relevant tables and USAGE on the schema. For write operations (New Row, Update Row, Delete Row, Insert or Update Row, Execute SQL Query) it additionally needs INSERT, UPDATE, and DELETE. We recommend creating a dedicated Actionist role with only the permissions your automation actually needs — grant table-level SELECT for read agents and row-level DML for write agents. Avoid granting SUPERUSER or CREATEROLE.
How quickly does the New Row trigger fire after a row is inserted?
The New Row and New or Updated Row triggers poll your table at regular intervals — typically within about a minute of the row being inserted. Actionist checks the table on each poll and fires your agent on any rows it has not seen before, identified by the primary key or the deduplication column you specify. This polling approach works on any standard PostgreSQL installation without requiring pg_notify, logical replication, or any server-side extension.
Can I use custom SQL queries, joins, and aggregations — or is it limited to simple table reads?
Full SQL is supported. The Find Row via Custom Query, Find Rows via Custom Query, and Execute SQL Query actions accept any valid PostgreSQL SELECT or DML statement including multi-table JOINs, window functions, CTEs, and aggregations. Queries must complete within about 30 seconds. For complex reports or scheduled ETL jobs, write your business logic directly in SQL and let the agent handle delivery — posting results to Slack, writing to Google Sheets, or inserting a summary row into another table.
Will Actionist affect my database performance or lock tables during reads?
Actionist uses standard read-committed SELECT queries for all read operations — no locking beyond what a normal application query would impose. Trigger polling queries are designed to be lightweight (scanning only new rows above the last seen primary key). For write operations, Actionist runs individual or small batched DML statements inside a transaction. We strongly recommend connecting Actionist to a read replica for query-heavy agents and the primary for write agents, which is the standard pattern for production PostgreSQL deployments.
Can agents write results back to the database after acting on external systems?
Yes, and this is one of the most valuable patterns. After your agent reads a row, acts on it in an external system (creating a Zendesk ticket, sending an email, updating a CRM record), it can use Update Row to write the result back — storing the ticket ID, a synced_at timestamp, or a status flag. This creates a queryable audit trail directly in your database and prevents the same row from being processed twice on the next polling cycle.
Is the Execute SQL Query action safe to use — can it accidentally delete production data?
Execute SQL Query runs whatever statement you provide, including DELETE and UPDATE without a WHERE clause. Use it with care: test queries on a development database first, include explicit WHERE clauses in any DML, and where possible connect Actionist to a database user that lacks DELETE privilege unless your automation specifically requires it. For destructive operations the agent will ask for confirmation (Approval Modes) before executing — you can configure whether the agent suggests, asks each time, or acts autonomously based on your risk tolerance.