Question 1

Which Ascend is this connector for?

Accepted Answer

Ascend the commercial insurance payments and premium finance platform. The name is shared with several unrelated products, most notably a data pipeline tool with a similar name, so it is worth being explicit. This connector reads from Ascend's payments API and covers loans, invoices, payouts, carriers, insureds, and the rest of the premium finance object model. If you are looking for a data engineering platform, this is not it.

Question 2

What Ascend data can Polytomic sync?

Accepted Answer

Fifteen objects covering the payments picture end to end. On the money side: loans, invoices, billables, one time payments, payouts, refunds, and cancellation returns. On the parties side: accounts, insureds, contacts, carriers, wholesalers, and users. On the configuration side: programs and coverage types. That gives you enough to model loan performance, reconcile payouts, and analyze program and carrier mix without stitching together exports.

Question 3

Does Ascend sync incrementally?

Accepted Answer

No. Every object is read as a full collection scan on each ETL execution, because the API does not expose an updated time filter or cursor that would support a persistent watermark. Pagination within a run is handled automatically, and records are deduplicated on their declared unique identifier as they are read, which guards against occasional repeats the API has been known to return. Practically this means picking a schedule that matches your book size rather than running frequently.

Question 4

Are deleted or voided records handled?

Accepted Answer

There is no deletion feed, so a record removed in Ascend simply stops appearing in subsequent reads and the previously synced row remains in your destination. Because every sync is a full scan rather than an incremental delta, a periodic full resync of the destination table is a straightforward way to reconcile if exact parity matters. For payments data, where records are typically reversed or adjusted rather than deleted, this is rarely a practical problem.

Question 5

Why move Ascend data into a data warehouse?

Accepted Answer

Because payments questions rarely stop at the payments system. How premium finance loan performance varies by program and carrier, whether cancellation returns cluster around particular coverage types, and how payouts reconcile against your general ledger all require joining Ascend to accounting and policy data. Running ETL into your data warehouse makes those answerable with SQL, and reverse ETL on the same platform can push a payment status or outstanding balance onto the CRM record your agency team works in.

Ascend

Perfect pairings

Full payments object model

Parties and relationships

Deduplicated reads

Example workflows

What you can sync

From Ascend

To your destinations

How it works

How to set up

Frequently asked questions

Why teams choose Polytomic

No engineering required

Flexible data modeling

Handles scale automatically

Start syncing your data with Ascend in minutes

More integrations beyond Ascend