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Depot Connector
A simple table-based data store for managing structured rows of key-value data within the iPaaS platform.
🔌 Depot Connector
The Depot enables runbooks to store, update, and lookup reference data or configuration settings shared across different automation workflows.
⚡ Triggers
Field Update
- Starts a runbook when a specific field value in a Depot table is updated.
- Receives webhook notifications when changes occur on a configured table.
⚡ Actions
Add Rows
- Adds one or more rows (up to 1,000) to a specified Depot table.
- Used for bulk data insertion or populating tables from external sources.
Lookup
- Searches a specific column for a value and returns matching data from that row.
- Returns the first matching row's column data.
📥 Input Parameters
- Table name (String, Required): The name of the table to interact with (max 256 characters).
- Columns (Array, Required): List of up to 10 column definitions.
- rows (Array[Object], Required for Add Rows): Array of row objects to add.
- lookup_column_name (String, Required for Lookup): The column to search in.
📤 Output
- row_id (String): The identifier of the row that was updated or created.
- new_value (String): The updated value after a field change.
- columns (Array[Object]): Array of name/value pairs from a matching row during a lookup.
📌 Use Cases
- Reference Data: Maintaining tables for impact levels or priority mappings.
- Data Enrichment: Cross-referencing lookup tables during runbook execution to enrich integration data.
- Workflow Triggers: Reacting to data changes in the Depot to trigger downstream notifications or automation.
⚠️ Notes
- Limits: Each table is limited to a maximum of 10 columns.
- Seed Rows: Tables can be pre-populated with up to 10,000 initial rows.
- Dynamic Populated: Column names are automatically populated from the outbound connection's table definition.
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