Feature Marketplace · Connectors
Ramp Connector
Ramp corporate cards and spend management. Syncs card transactions, users, cards, and reimbursements via the Ramp Developer API v1 with OAuth 2.0 and cursor pagination.
What syncs
The Ramp 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 Ramp announces changes, they arrive as they happen.
Transactions
Card transactions including merchant, category, amounts, state, and accounting dates.
Changes arrive as they happenUsers
Ramp users including role, status, department, location, and manager relationships.
Cards
Physical and virtual cards including cardholder, program, state, and expiration.
Reimbursements
Employee reimbursements including amounts, merchant, state, and payment lifecycle timestamps.
Ramp data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The Ramp 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 Ramp 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 "Ramp 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.