Feature Marketplace · Connectors
Square Connector
Square is a commerce and payments platform for merchants. Syncs payments, refunds, customers, and locations via the Square Connect v2 API with HMAC-signed webhook events.
What syncs
The Square records STRAX brings into your hub.
Each kind of record is mapped once to your company model in the STRAX hub, then kept current in every system that needs it. Where Square announces changes, they arrive as they happen.
Payments
Payments processed by Square, including amounts, status, source, and receipt details.
Changes arrive as they happenRefunds
Payment refunds, including amounts, status, and destination details.
Changes arrive as they happenCustomers
Customer profiles in the Square Customer Directory.
Changes arrive as they happenLocations
Business locations of the Square seller account.
Changes arrive as they happenSquare data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The Square records land in the STRAX hub, a SQL Server database on your own servers, where your reports, portals and workflows read them. From there the hub delivers them to the other systems you connect, whether those run on SQL Server, MySQL, PostgreSQL or another API. STRAX signs in to Square with an access token that you provide, stored encrypted.
How STRAX connectors work → How the STRAX integration engine works → Connecting a system, in the documentation →
About this listing
| Version | 1.0.1 |
| Author | STRAX |
| Category | Connectors |
| Published | 2026-07-15 |
What's inside
| Connector profile | 1 |
Free listing
Install it from Feature Marketplace inside STRAX
Open Feature Marketplace
In your STRAX installation, open Feature Marketplace from the navigation.
Find "Square Connector"
Search or browse to this listing and review the contents disclosure; every package shows what it contains before anything runs.
Install
Choose Install, or "Customise with AI" to adapt the package to your environment first. No licence is needed for free listings.
See it on your own systems.
A demo takes an hour, on your data landscape rather than ours.