
When this happens...
New Studies Created

Automatically do this!
Create Chart
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new studies created.
Action is the task that follows automatically within your Attention Insight integrations.
This action Provide information about account.
Upload an image to run a full attention analysis (focus, clarity, auto-AOI, contrast) and receive a study ID plus attention heatmap results.
Generates Attention heatmap and focus map synchronically from image file or url.
Fetches the analysis results for a given study from Attention Insight.
Creates a chart image or embeddable snippet and returns a link to it.

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To start, connect both your Attention Insight and D3.Js accounts to viaSocket. Once connected, you can set up a workflow where an event in Attention Insight triggers actions in D3.Js (or vice versa).
Absolutely. You can customize how Attention Insight data is recorded in D3.Js. This includes choosing which data fields go into which fields of D3.Js, setting up custom formats, and filtering out unwanted information.
The data sync between Attention Insight and D3.Js typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Attention Insight and D3.Js. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Allows you to upload images to Attention Insight platform, perform attention prediction analysis and return attention heatmap image
Learn MoreD3.js is a powerful JavaScript library for producing dynamic, interactive data visualizations in web browsers. It leverages the full capabilities of modern web standards without being tied to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
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