Connect Attention Insight and Neo4j to Build Intelligent Automations
Enable Integrations or automations with these events of Attention Insight and Neo4j
Enable Integrations or automations with these events of Attention Insight and Neo4j
Triggers
New Studies Created
Triggers when a new studies created.
Actions
Get Profile
This action Provide information about account.
Initiate Full Attention Analysis
Upload an image to run a full attention analysis (focus, clarity, auto-AOI, contrast) and receive a study ID plus attention heatmap results.
Perform Quick Attention Prediction
Generates Attention heatmap and focus map synchronically from image file or url.
Check Study Status
Fetches the analysis results for a given study from Attention Insight.
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Frequently Asked Questions
To start, connect both your Attention Insight and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Attention Insight triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Attention Insight data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between Attention Insight and Neo4j 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 Neo4j. 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.
About Attention Insight
Allows you to upload images to Attention Insight platform, perform attention prediction analysis and return attention heatmap image
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About Neo4j
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
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