StreamFit Twilio

StreamFit + Twilio Integrations, Built by an AI Agent

Put StreamFit + Twilio to work with AI and enterprise-grade automation

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Learn more about StreamFit integrations or talk to a human

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See the kind of workflows teams build with StreamFit and Twilio below — describe the exact one you want above and the Agent builds it on demand.

StreamFit + Twilio When a membership purchase is made in StreamFit, send an SMS confirmation via Twilio. See details

Browse the full workflow library →

Looking to achieve something else with StreamFit and Twilio?

Just describe what you need — the Agent researches both APIs and builds the real automation on demand.

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Triggers & actions for StreamFit and Twilio

Everything StreamFit and Twilio can do inside a workflow — the triggers that start one and the actions that run when it fires.

StreamFit Explore StreamFit →

StreamFit is a fitness video streaming platform that allows fitness businesses and trainers to host live and on-demand workouts.

Triggers
Membership Inactive

Triggers when you inactivate a member's membership.

Membership Pause

Triggers when a membership is placed on pause status.

Store Product Purchase

Triggers when a user purchases a item from your store.

Member Added to Gym

Triggers when a new member is added to your gym.

Membership Purchase

Triggers when a new membership is purchased.

Refund

Triggers when a payment is refunded.

Actions
Create User

Create a new member in channel

Trigger Engage Flow

Send data to an automation trigger to engage the flow.

Twilio Explore Twilio →

Twilio is a cloud communications platform that provides APIs for sending text messages, making voice calls, and handling messaging.

Triggers
New Phone Number

Triggers when you add a new phone number.

New Call

Triggers when a call is finished on your Twilio number.

New Recording

Triggers when a new recording is available on your account.

New SMS

Triggers when an SMS is sent to your Twilio number.

New Transcription

Triggers when a new transcription is available on your account.

New WhatsApp Message

Triggers when a WhatsApp message is sent to your Twilio number.

Actions
Call Phone

Call a number or numbers and say a message.

Send WhatsApp Message

Send a WhatsApp message to one or more recipients.

Send SMS

Send a SMS to a number or numbers.

API Request (Beta)

This is an advanced action which makes a raw HTTP request that includes this integration's authentication.

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Customer Stories

See how leading technology firms are scaling their operations

Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
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Huynh H
Developer, Multiplier
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
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Jayesh
Co-Founder, Scrut
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
P
Poorvi
Product Manager, Onsurity
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
A
Aditya
Product Lead, RazorpayXPayroll
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
R
Rohit Singh
GM, Payoneer Workforce Management

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4.9 out of 5 stars

4.9 out of 5 stars on G2

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FAQ

Common questions about StreamFit + Twilio

Is there a pre-built StreamFit + Twilio automation?

Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches StreamFit and Twilio's public API docs (or your own uploaded docs) and builds a working automation.

Does this require a pre-built StreamFit or Twilio connector?

No. The Agent works whether or not StreamFit or Twilio already has a pre-built connector in Knit's catalog — it researches the real API surface either way.

How long does it take to build?

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

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