Feature Marketplace · Connectors
Ashby Connector
Ashby all-in-one recruiting platform (ATS, scheduling, and analytics). Syncs candidates, jobs, and applications via Ashby's RPC-style REST API with cursor pagination and signed webhooks.
What syncs
The Ashby 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 Ashby announces changes, they arrive as they happen.
Candidates
All candidates in the organization with contact details, social links, tags, and linked applications.
Changes arrive as they happenJobs
Jobs with status, employment type, department, location, openings, and hiring team.
Changes arrive as they happenApplications
Candidate applications with status, interview stage, source, and archive reason.
Changes arrive as they happenAshby data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The Ashby 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 Ashby 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 "Ashby 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.