Learn how to automate Salesforce Data 360 stream creation using the Data 360 API, Python, and Slack.

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Automating Salesforce Data 360 stream creation reduces manual configuration work and ensures consistency. The solution uses a three-tier architecture: Slack for user input, MuleSoft as an API gateway, and Python for execution logic. Key features include secure connection resolution, field-level control with metadata validation, and dynamic payload construction. Users submit org and object names through a Slack Block Kit interface, which triggers backend automation that validates fields against source metadata and creates data streams via the Data 360 API. The approach standardizes naming conventions and can be extended to integrate with Agentforce agents.

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