VantegrateNative API integrationIntegrate PostgreSQL with AI agentsthat answer questions in natural language
Vantegrate's AI agents sit on top of your PostgreSQL database as a layer that queries it and answers in natural language: Metrix interprets the business question, turns it into a query and replies with your own data, using a read-only user that queries but never writes. The database isn't copied or moved: it keeps living in your instance.
How the data flows
What does it mean to integrate PostgreSQL with Vantegrate's AI agents?
Integrating PostgreSQL with Vantegrate's AI agents means that Metrix queries your database directly to answer business questions in natural language, instead of waiting for an analyst to write SQL or building reports by hand. The connection uses a read-only user, so the agent queries but never modifies. The exact way to connect to PostgreSQL is validated case by case before you start.
That is different from a fixed decision-tree bot, which only returns canned answers. The agent interprets the question, turns it into a query and answers with your own data. And the database doesn't move: the data keeps living in your instance of PostgreSQL, and the agent queries it and returns the answer without taking the database anywhere else. Every query is logged for auditing.
What do you want to connect to your PostgreSQL?
Pick what you need and we'll write the message for you.
1 · Pick what to solve
2 · What our team receives
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What moves between Vantegrate and your PostgreSQL
The principle is simple: AI comes to your data, not your data to the AI. The agent queries your database in real time and returns the answer, without moving or copying the data anywhere else.
Business questions in natural language
The agent interprets the question, turns it into a query against your tables and answers with your own data, with nobody writing SQL or building the report by hand.
Read-only access
The connection uses a dedicated role with GRANT SELECT on the schemas it needs, with no write, delete or schema-change permissions: the agent queries and never modifies.
The database doesn't move
The data keeps living in your PostgreSQL instance; the agent queries and returns the answer, it doesn't copy the database to another environment, and every query is logged for auditing.
How the integration works, step by step
Vantegrate handles the setup and rollout. Your team authorizes, validates and starts using it.
Database discovery
We review your PostgreSQL database and its schemas: which tables and views exist and which ones are needed to answer business questions.
Connection path, case by case
We define and validate the technical connection path over the native PostgreSQL protocol, which listens on port 5432 by default, with username and password authentication and encryption in transit.
Read-only user
We create a dedicated role and give it GRANT SELECT on what it needs. Since version 14, there is also the predefined pg_read_all_data role, which enables reading without allowing writes.
Context, testing and activation
We load the business context, what each table and each metric means, test with real questions and roll out in phases.
Asking the agent vs. waiting for the report or the SQL
Not every way of querying the database is the same. Waiting for an analyst to write SQL or building the report by hand leaves the business in the dark between requests: the question gets queued, the answer arrives late and many decisions get made without the data. An agent that queries PostgreSQL answers on the spot, in natural language, without that queue.
The difference lies in access and traceability. Instead of handing out broad credentials, the agent comes in with a read-only user scoped to what it needs, and every query is logged, so your team can audit what the agent asked and when. The database isn't exported to scattered spreadsheets: it keeps living in your instance.
| Dimension | Reports and hand-written SQL | Agent on PostgreSQL |
|---|---|---|
| Who queries | An analyst writes the SQL | Anyone asks in natural language |
| Response time | Waiting on the analyst or the report | An answer on the spot |
| Access | Broad credentials, case by case | Read-only user (GRANT SELECT) |
| Traceability | Hard to audit | Every query is logged |
| Where the data lives | Exported to scattered spreadsheets | Stays in your instance, not copied |
Comparison of integration patterns; the exact connection path and the scope are defined with your IT team based on your instance.
Your data doesn't leave your instance: the agent queries PostgreSQL with a read-only user and returns the answer; it doesn't take the database anywhere else. AI comes to your data: the database stays where it is, and every query is traceable so your team can audit it.
You've seen how it connects. Want to walk through your case?
Tell us how your PostgreSQL is set up and we'll tell you what data we need and where the agent connects.
An agent connected to your PostgreSQL vs. a standalone tool
| Standalone AI tool | Agent connected to your PostgreSQL | |
|---|---|---|
| Data source | A copy that drifts | Your source of truth, live |
| Where your data lives | In a third-party system | In your environment, encrypted end to end |
| Result of each operation | Stuck in another app | Written back to your PostgreSQL |
| Permissions and audit | Broad and hard to audit | Least-privilege scope and an audit trail |
| Reaching production | Often stalls as a pilot | Validated, phased rollout |
Why add an agent that queries your database over WhatsApp
Third-party figures, each with its published source, to size up the platform and the context. None of them is a Vantegrate result.
Top 4
PostgreSQL is one of the world's most popular databases, fourth in the overall ranking
95%
Of generative AI pilots never reach production with measurable business impact
PostgreSQL's position in the popularity ranking reflects overall adoption, not a measurement of your instance. The exact connection path is validated case by case before going live.
Which agents run on your PostgreSQL
On the same database, each agent in the suite does its own job: querying in natural language with read-only access, or making the data it structures from your documents available there.
Metrix
Data agent: answers business questions in natural language against your PostgreSQL database, with no SQL to write and no waiting on the analyst, with read-only access and every query logged.
Explore Metrix
Arconte
Document agent: when the data it extracts from invoices and delivery notes is headed for your PostgreSQL database, Arconte makes it available there, structured, for the rest of your operations.
Explore ArconteThe integration doesn't take your database anywhere
The principle is simple: AI comes to your data, not your data to the AI. The agent queries PostgreSQL with the minimum permissions you authorize, the database keeps living in your instance, and the agents run on certified cloud infrastructure.
- Connection through the native PostgreSQL protocol (port 5432 by default), with username and password authentication and encryption in transit; the exact path is validated case by case with your IT team.
- Recommended read-only setup: a dedicated role with GRANT SELECT (or the pg_read_all_data role, since version 14), with no write permissions, no deletes and no schema changes.
- The database isn't copied or moved: the data stays in your instance, the agent queries and returns, and every query is traceable for auditing.
- The agents run on Salesforce or Oracle Cloud Infrastructure, whose SOC 2 Type II and ISO 27001 certifications belong to those platforms, not to Vantegrate or to your PostgreSQL instance, which you operate and certify.
Frequently asked questions about the PostgreSQL integration
What IT and data teams usually ask before connecting an AI agent to their PostgreSQL database.
Can the agent modify my PostgreSQL database?
Can the agent modify my PostgreSQL database?
Not with the recommended setup. The agent connects with a read-only user (GRANT SELECT), with no write, delete or schema-change permissions: it only queries. Since version 14, you can also use the predefined pg_read_all_data role, which, according to the official documentation, allows reading tables, views and sequences without modifying them and doesn't bypass the row-level security (RLS) policies you already have in place.
Where does my data stay?
Where does my data stay?
In your PostgreSQL database. AI comes to your data: the agent queries and returns the answer, but the database isn't copied or moved to another environment. The data keeps living in your instance, with your team responsible for operating and certifying it. Meet Metrix, the data agent.
Which port does it use, and how does it connect?
Which port does it use, and how does it connect?
PostgreSQL listens on port 5432 by default, over its native protocol, with username and password authentication and encryption in transit. The exact path and the network access rules are validated with your IT team before you start, case by case, so access stays limited to what's needed.
Is there a record of what the agent queries?
Is there a record of what the agent queries?
Yes. Every query is traceable, so your team can audit what the agent asked and when. Combined with the read-only user, access stays scoped and auditable, with no broad credentials spread across the team. Vantegrate enables it; your team operates and certifies it.
Metrix, the data agent on WhatsApp
How the agent answers business questions in natural language against your database, with no SQL and no waiting.
Learn moreAll integrations
The full map: the databases, CRMs, ERPs and tools the AI agents connect to.
Learn moreAI agents for enterprises
The map of the Vantegrate suite: sales, marketing, documents, data and logistics.
Learn moreLet's connect AI agents to your PostgreSQL
Tell us which questions you ask your PostgreSQL database and we'll show you how the agent answers them in natural language, which read-only permissions we request and how every query is logged. A 30-minute conversation, no commitment.
Francisco Morales, co-founder, takes your call. We reply on WhatsApp within 4 business hours, no strings attached.
