Integrate ngram and Argus Tracking with viaSocket

ngram already connects with hundreds of apps. Argus Tracking's automation is still on its way. Want to speed that up?

Full list

Supported Triggers & Actions

Everything you can automate between ngram and Argus Tracking.

When this happensTriggers

A trigger is an event that starts a workflow.

When a video is completed

When a video is completed

Runs the workflow automatically whenever a video is completed.

Request a new Trigger for ngram

Do thisActions

Action is the task that follows automatically within your ngram integrations.

View Video Status

View Video Status

View a video's processing state and progress (queued, processing, failed, or ready to download).

Create Video From Text

Create Video From Text

Create an on-brand video from a text prompt; set duration and aspect ratio, and optionally send a webhook when the video is ready.

Request a new Action for ngram
How to build your first workflow with viaSocket
2-Minute Guide

Learn how to build your first workflow

Follow a simple walkthrough to create, test, and launch your first automation.

  1. 1

    Connect your apps

    Link the apps you want to automate.

  2. 2

    Configure your workflow

    Set up triggers, actions, and map your data.

  3. 3

    Test & publish

    Test your workflow and publish it.

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Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Integrations ngram
ngram + Argus Tracking
ngram logo

About ngram

Ngram is an AI-powered video creation platform for product and marketing teams. It turns docs, URLs, PDFs, images, and screen recordings into polished, on‑brand videos by handling research, storyboarding, scripting, voiceover, and motion graphics while you control audience, goal, style, and length. Features include brand kits, captions, multi-aspect exports (16:9, 9:16, 1:1), and upcoming smart screen-recording edits—ideal for product demos, feature announcements, explainers, onboarding, and social clips.

Learn more
Integrations Argus Tracking
Argus Tracking + ngram
Argus Tracking logo

About Argus Tracking

Argus Tracking utilises New Zealand’s most comprehensive mapping software from GeoSmart along with their own cutting edge technology, it's a one-stop-shop for all your monitoring and fleet management needs.

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Frequently Asked Questions

How do I connect ngram and Argus Tracking?

Sign up for a free viaSocket account, then authorize both your ngram and Argus Tracking accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.

Does this integration work in real time?

Yes. viaSocket uses instant triggers where available, so data moves between ngram and Argus Tracking as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.

Can I control which data gets sent from ngram to Argus Tracking?

Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Argus Tracking. No coding required.

Can the integration run in both directions?

Yes. You can set up a workflow where ngram triggers actions in Argus Tracking, and a separate workflow where Argus Tracking triggers actions in ngram. Both run independently and in real time.

What happens if a step in the workflow fails?

viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.

Is viaSocket free to use?

Yes, there is a free plan that covers basic workflows between ngram and Argus Tracking. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.

Do I need to know how to code to set this up?

No. The entire ngram and Argus Tracking integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.