How to connect Amazon SNS and Straker Verify
Create a New Scenario to Connect Amazon SNS and Straker Verify
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Amazon SNS, triggered by another scenario, or executed manually (for testing purposes). In most cases, Amazon SNS or Straker Verify will be your first step. To do this, click "Choose an app," find Amazon SNS or Straker Verify, and select the appropriate trigger to start the scenario.

Add the Amazon SNS Node
Select the Amazon SNS node from the app selection panel on the right.

Amazon SNS
Configure the Amazon SNS
Click on the Amazon SNS node to configure it. You can modify the Amazon SNS URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Straker Verify Node
Next, click the plus (+) icon on the Amazon SNS node, select Straker Verify from the list of available apps, and choose the action you need from the list of nodes within Straker Verify.

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Straker Verify
Authenticate Straker Verify
Now, click the Straker Verify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Straker Verify settings. Authentication allows you to use Straker Verify through Latenode.
Configure the Amazon SNS and Straker Verify Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Amazon SNS and Straker Verify Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
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AI Anthropic Claude 3
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Straker Verify
Trigger on Webhook
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Amazon SNS
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Amazon SNS, Straker Verify, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Amazon SNS and Straker Verify integration works as expected. Depending on your setup, data should flow between Amazon SNS and Straker Verify (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Amazon SNS and Straker Verify
Amazon SNS + Straker Verify + Slack: When a new topic is created in Amazon SNS, indicating a message requiring verification, a notification is sent to a designated Slack channel.
Straker Verify + Amazon SNS + Email: When Straker Verify identifies potentially inaccurate data, an email notification is sent via Amazon SNS to alert relevant personnel.
Amazon SNS and Straker Verify integration alternatives
About Amazon SNS
Use Amazon SNS in Latenode to build automated notification systems. Trigger SMS, email, or push notifications based on events in your workflows. Centralize alerts across apps and avoid missing critical updates. Combine with Latenode's no-code tools and JavaScript for customized routing and content based on real-time data.
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About Straker Verify
Integrate Straker Verify in Latenode to automate translation quality checks. Flag low-quality translations based on your criteria. Build workflows that automatically re-translate or alert linguists. Use Latenode’s visual editor to connect Straker Verify to your CMS, TMS, or other systems without code, ensuring consistent output and faster localization cycles.
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See how Latenode works
FAQ Amazon SNS and Straker Verify
How can I connect my Amazon SNS account to Straker Verify using Latenode?
To connect your Amazon SNS account to Straker Verify on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Amazon SNS and click on "Connect".
- Authenticate your Amazon SNS and Straker Verify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger Straker Verify tasks from Amazon SNS messages?
Yes, you can! Latenode enables this automation. Trigger text verification in Straker Verify from Amazon SNS alerts, ensuring immediate, accurate language checks using Latenode's flexible workflow editor.
What types of tasks can I perform by integrating Amazon SNS with Straker Verify?
Integrating Amazon SNS with Straker Verify allows you to perform various tasks, including:
- Automatically verifying the language of messages sent via Amazon SNS.
- Triggering Straker Verify workflows based on specific SNS message content.
- Receiving notifications in Amazon SNS after Straker Verify tasks complete.
- Logging Straker Verify results to Amazon SNS for audit trails.
- Using AI in Latenode to summarize Straker Verify reports for SNS alerts.
How secure is the Amazon SNS integration on Latenode?
Latenode employs robust security measures, including encryption, to protect your Amazon SNS credentials and data during integration and workflow execution.
Are there any limitations to the Amazon SNS and Straker Verify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large message volumes from Amazon SNS may impact workflow execution speed.
- Straker Verify's API rate limits can affect the number of verification requests.
- Custom JavaScript code might be required for very specific data transformations.