Feature Marketplace · Connectors
Rollbar Connector
Rollbar error monitoring and crash reporting platform. Syncs items (grouped errors), occurrences, and deploys via the Rollbar REST API using project access token authentication.
What syncs
The Rollbar 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 Rollbar announces changes, they arrive as they happen.
Items
Grouped errors including level, status, environment, and occurrence counts.
Changes arrive as they happenOccurrences
Individual error occurrences with payload details such as environment, platform, and language.
Changes arrive as they happenDeploys
Deploys reported to Rollbar, including revision, environment, and deploy status.
Changes arrive as they happenRollbar data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The Rollbar 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 Rollbar with an API key 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 "Rollbar 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.


