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This workflow automatically monitors and parses DMARC email reports by decompressing email attachments, extracting XML data, and converting it into structured JSON format, which is then stored in a MySQL database. It supports batch parsing of multiple records and can detect anomalies in DKIM or SPF validation in real-time, automatically sending Slack messages and email notifications to enhance email security and response efficiency. This process helps businesses quickly identify and address email fraud and security issues, streamlining compliance audits and data organization tasks.

This workflow implements user login authentication based on Auth0, automating identity verification through the OAuth 2.0 authorization code flow. It securely handles login requests, token exchanges, and user information retrieval, simplifying complex authentication steps and ensuring that only verified users can log in securely. It supports multiple social account logins, enhancing user experience, and provides developers and businesses with a quick integration solution suitable for online services that require centralized management of user identities and permissions.

This workflow allows for the quick creation of new issues in a specified Jira project through a manual trigger function, significantly simplifying the traditional operational process. Users only need to click the execute button to automatically generate an issue, enhancing the efficiency of issue feedback and task creation. It is suitable for scenarios such as IT operations and project management, particularly in urgent situations, helping teams swiftly record and address critical issues to ensure efficient collaboration.

This workflow automatically synchronizes work hour data from the Clockify time tracking system to the Syncro MSP service management platform and backs up the records to Google Sheets. It listens for work hour information via Webhook, intelligently matches work orders in Syncro, and selects whether to create new or update existing time entries based on existing records. This effectively reduces the tediousness of manual data entry, improves data accuracy and work efficiency, and ensures timely service management. It is suitable for IT service companies and maintenance teams.

This workflow enables the automatic synchronization of phone call records, accurately recording the call time and duration into the ticket timing of the Syncro MSP platform, eliminating errors and omissions caused by manual operations. By integrating with Google Sheets, it quickly matches ticket numbers to ensure accurate data correspondence, significantly enhancing work efficiency. It is suitable for scenarios such as IT service management, customer support, and call centers, helping teams optimize ticket management and phone timing entry.

This workflow can automatically extract delivery task information from spreadsheets and create delivery tasks in bulk via the Onfleet API. It streamlines the delivery scheduling process, avoiding the tediousness and errors associated with manual data entry. Users simply need to upload an Excel file containing address and recipient information, and the system will quickly parse the data and generate the corresponding delivery tasks. This significantly enhances the operational efficiency of logistics and e-commerce platforms, ensures data accuracy, and improves the overall automation level of delivery management.

This workflow is designed to listen to and receive messages in the MQTT queue in real-time, automatically triggering subsequent processing flows. By connecting to the MQTT service, it efficiently subscribes to and captures messages, addressing the challenge of real-time information retrieval in IoT and message-driven architectures. It is suitable for applications such as IoT device data collection, real-time notifications, and smart home systems, helping technical teams quickly establish a message reception mechanism and enhance system response speed and stability.

This workflow automatically retrieves real-time position data of the International Space Station (ISS) every minute and pushes it to a specified queue in RabbitMQ. By triggering data processing at regular intervals, users can track the position of the ISS in real-time, addressing the issues of manual querying and data transmission delays. It is suitable for aerospace research, real-time application development, and systems that require integration of dynamic location data, significantly enhancing the automation and timeliness of data acquisition.