Connect ngram and WaniKani
Integrate ngram with WaniKani to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Get Assignments from WaniKani when When a video is completed in Ngram
Get Level Progressions from WaniKani when When a video is completed in Ngram
Get Spaced Repetition Systems from WaniKani when When a video is completed in Ngram
Get Study Summary from WaniKani when When a video is completed in Ngram
Get User Information from WaniKani when When a video is completed in Ngram
Popular ngram + WaniKani flows
Start from a real workflow other teams are already running.
Choose a trigger
ngram
When this happens...
When a video is completed
Choose an action
WaniKani
Automatically do this!
Get Assignments
Get Level Progressions
Get Spaced Repetition Systems
Get Study Summary
Get User Information
Get All Voice Actors
Get Assignments from WaniKani when When a video is completed in Ngram
Use this flowGet Level Progressions from WaniKani when When a video is completed in Ngram
Use this flowGet Spaced Repetition Systems from WaniKani when When a video is completed in Ngram
Use this flowGet Study Summary from WaniKani when When a video is completed in Ngram
Use this flowGet User Information from WaniKani when When a video is completed in Ngram
Use this flowGet All Voice Actors from WaniKani when When a video is completed in Ngram
Use this flowSupported Triggers & Actions
Everything you can automate between ngram and WaniKani.
When this happensTriggers
A trigger is an event that starts a workflow.
When a video is completed
Runs the workflow automatically whenever a video is completed.
Do thisActions
Action is the task that follows automatically within your ngram integrations.
View Video Status
View a video's processing state and progress (queued, processing, failed, or ready to download).
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.
Get Assignments
Fetch assignments using filters, pagination, and optional response fields.
Get Level Progressions
Retrieve level progressions, optionally filtering by IDs, page cursors, updated date, and response fields.
Get Spaced Repetition Systems
Get spaced repetition systems by IDs, updated-after date, or page cursor; select response fields.
Get Study Summary
Fetches the user's study and review summary from WaniKani.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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AI will build it for you
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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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
About WaniKani
WaniKani is an application that helps people learn Japanese kanji and associated vocabulary.
Learn more
Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your ngram and WaniKani 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.
Yes. viaSocket uses instant triggers where available, so data moves between ngram and WaniKani as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach WaniKani. No coding required.
Yes. You can set up a workflow where ngram triggers actions in WaniKani, and a separate workflow where WaniKani triggers actions in ngram. Both run independently and in real time.
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.
Yes, there is a free plan that covers basic workflows between ngram and WaniKani. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire ngram and WaniKani integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
