PT Distinction MoonClerk

When payment succeeded in MoonClerk, sync it to PT Distinction.

When a payment succeeds in MoonClerk, update client access in PT Distinction.

Try:

See all PT Distinction + MoonClerk integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

PT Distinction Explore PT Distinction →

Triggers
New member signed up

Fires when a new member, client or user joins in PT Distinction.

Class booked

Fires when someone books a class or session in PT Distinction.

Entry logged

Fires when a workout, habit, journal entry or goal is logged in PT Distinction.

Actions
Create or update member

Creates or updates a member's profile in PT Distinction.

Book a class or session

Books a class or session for a client in PT Distinction.

Log an entry

Logs a workout, habit or data point in PT Distinction.

MoonClerk Explore MoonClerk →

Triggers
New customer

Fires when a new customer is created in MoonClerk.

Subscription canceled

Fires when a subscription is canceled in MoonClerk.

New invoice generated

Fires when a new invoice is generated in MoonClerk.

Payment failed

Fires when a payment attempt fails in MoonClerk.

Actions
Create customer

Creates a new customer in MoonClerk.

Create subscription

Creates a new subscription in MoonClerk.

Cancel subscription

Cancels an existing subscription in MoonClerk.

Update customer

Updates a customer's billing details in MoonClerk.

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FAQ

Common questions

Can Knit build “When payment succeeded in MoonClerk, sync it to PT Distinction.” between PT Distinction and MoonClerk?

Yes — describe it in the box above and Knit's Integrations Agent researches PT Distinction and MoonClerk's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

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