Wexa AI
  1. Tables
Wexa AI
  • Wexa AI
  • Use Cases and Workflows
  • API Reference
  • Troubleshooting Guide
  • Onboarding
    • Getting Started with Wexa
    • Hire your AI Coworker
  • AI Coworker Creation
    • Create your First AI Coworker
    • Process Flows
    • Creating your First Agent
    • Schedule a Process Flow
    • Executing a Process Flow
    • Settings - Input Form
    • History
  • Tables
    • Intro to Tables
    • Adding records to Tables
    • Table Triggers
  • Knowledge Base
    • Intro to Knowledge Base
  • Connectors and MCP Servers
    • Adding a New Connector
    • Adding an MCP Server
    • Setting up Connectors Triggers
  • API Endpoints
    • Project
      • create project
      • Get all projects
      • Get project
      • update project
      • Delete project
      • Get project by proiectName
    • Agentflows
      • create agentflow
      • get agentflows
      • Get agentflow by projectId and UserId
      • get agentflow by id
      • Add skilled agent to agentflow
      • Update skilled agent
    • Connectors
      • Configure connector
      • Get config
      • Retrieve linkedin params
      • get connectors by projectid
      • get connector by Id
      • Delete a connector
      • connector update status
      • get all available trigger actions
    • Skills
      • create skill
      • get skills
      • get skills by category
      • get skills by id
      • skills by name
    • Executeflow
      • create executeflow
      • get executions
      • execute agentflow
      • pause executeflow
      • resume execution
      • cancel executeflow
      • get execution by execution id
      • get execution details for monitoring
    • Actions
      • Customer
        • get customer
        • Get credit history
      • create action
      • get action
    • Files
      • Connectors and MCP Servers
      • upload files
      • get files by fileid
      • get connector by fileid
      • get files by connector_id
    • Inbox
      • Create inbox
      • Update inbox at runtime
      • Update anamoly detection inbox
      • Update Preview Inbox
      • get inbox
    • Tags
      • tags
    • Dashboard
      • get dashboard
      • refresh dashboard
      • delete component in dashboard
    • Tasks
      • get tasks
      • get task by id
      • Pause running task
      • resume task
      • Stop task
    • Tables
      • Insert row in a table
      • Get records
      • Get record by id
      • Update record by id
      • create table
      • create database
      • get tables
      • get table names
      • delete record
      • delete a column
      • Insert column in a table
    • Settings
      • get settings
    • Marketplace
      • get all connectors
      • get marketplace coworkers
      • get marketplace coworker by id
    • Coworker schedules
      • get schedules
      • create coworker schedule
      • get schedule coworker by its id
      • update schedule by its id
      • delete schedule by its id
    • Analytics
      • Get analytics
    • Marketplace coworkers
      • hire a coworker
      • check marketplace coworker update
    • Available Connectors
      • Actions
    • Execution Details
      • Execution details
    • Knowledge Base
      • File Upload
    • Create apikey
      • Generate apikey
  • Wexa_sdk
    • Wexa Python SDK
    • Use Cases and Workflows
    • API Reference
    • Troubleshooting Guide
    • Onboarding
      • Getting Started with Wexa
      • Hire Your AI Coworker
    • AI Coworker Creation
      • Create Your First AI Coworker
      • Process Flows
      • Schedule a Process Flow
      • Creating Your First Agent
      • Executing a Process Flow
      • Settings - Input Form
      • History
    • Tables
      • Intro to Tables
      • Adding Records to Tables
      • Table Triggers
    • Knowledge Base
      • Intro to Knowledge Base
    • Connectors and MCP Servers
      • Adding a New Connector
      • Adding an MCP Server
      • Setting up Connector Triggers
    • API Endpoints
      • Project
        • Create Project
        • Get Projects
        • Get Project by ID
        • Update
        • Delete Project
        • Get project by proiectName
      • Agentflows
  1. Tables

Intro to Tables

In Wexa Studio, Tables serve as databases that power your AI agents with the data they need to perform intelligent tasks. They are the foundation for dynamic, data-driven workflows, enabling agents to retrieve, manipulate, and act on information in real time.
Using Tables with the SDK:
Tables are essential for storing structured data that AI agents can access and modify. The SDK provides comprehensive APIs to create, manage, and interact with tables programmatically.

Creating Tables#

1. Creating a Table#

In Wexa Studio, click on + New Table. Using the SDK, you can create tables programmatically:
Using SDK to Create a Table:

2. Name Your Table#

Choose a clear and meaningful name (e.g., Candidates, Jobs, Interview Schedule). The table name should reflect its purpose and make it easy to identify in your workflows.
Example Table Names:
Candidates - For storing candidate information
Jobs - For job listings
Interview Schedule - For scheduled interviews
Customer Records - For customer data
Inventory - For product inventory

Adding Records to Tables#

1. Add & Customize Columns#

When building or customizing a table in Wexa, each column defines a distinct field of data — like a form input for your records. Columns are essential to shaping how your table behaves and how agents interact with it.

1.1 Add a New Column#

In Wexa Studio, you can add a new column using the + Add Column button in any table. With the SDK, you can create tables with custom columns:
Column Configuration:
Column Configuration Details:
Column Name: A user-friendly label for the column shown in the table UI. Example: Candidate Name
Column Key (column_id): A unique identifier used internally by Wexa and agents. Must be lowercase and use underscores. Example: candidate_name
Data Type: The format/type of data this column will accept. Wexa supports:
String: Text data
Number: Numeric values
Boolean: True/false values
Array: Lists of values (specify array_type)
Object: Structured data with nested fields
Default Value: An optional fallback value if no data is provided for this column
Supported Column Types:

2. View, Edit & Manage Records#

In the table view, you can perform various operations on records:
Using SDK to Manage Records:
Available Operations:
Search records: Use the search bar with query parameters
Edit individual entries: Update records inline or via the View option
Import/export data: Use CSV or Excel for easy migration (handled in Wexa Studio UI)

3. Creating a New Row#

Rows in Wexa tables represent individual records — for example, a candidate, a job listing, or a scheduled interview. Adding rows lets you populate your tables with data either manually or through automation.
3.1 Add a Single Row
Click the + Add Row button in Wexa Studio, or use the SDK to create a new row:
Using SDK to Create a Row:
3.2 Adding Multiple Rows
To streamline bulk data entry, you can add multiple rows at once. In Wexa Studio, click + Add More Rows in the top-right of the dialog. With the SDK, you can batch-create several rows:
Using SDK to Create Multiple Rows:
Bulk Import Example:

Table Triggers#

Table Triggers in Wexa let you automatically launch Process Flows when a new row is added to a table based on specific conditions you define. This helps streamline workflows and eliminates the need for manual actions after data entry.
Using SDK to Configure Table Triggers:

1. Go to the Desired Table#

First, identify the table where you want to add a trigger:

2. Click "Add Trigger"#

In Wexa Studio, click "Add Trigger". With the SDK, you configure triggers when creating or updating tables:

3. Configure the Trigger#

3.1 Trigger Name#

Define your Trigger Name to distinguish it within your automation setup:

3.2 Use Filter#

Toggle this on to define conditional logic (e.g., only trigger when Experience > 3):

3.3 Process Flow#

Choose from available flows like Resume Ranker, Candidate Scorer, etc. This is the automation that will run when the trigger conditions are met:
Complete Trigger Example:
Multiple Triggers:
You can search or scroll to select the relevant process flow. Multiple triggers can be defined per table, each with its own logic and assigned process.
How Triggers Work:
1.
Event Occurs: A new row is added to the table
2.
Condition Check: If filters are defined, the trigger checks if conditions are met
3.
Process Flow Execution: If conditions are satisfied, the specified Process Flow (AgentFlow) is automatically executed
4.
Automation: The workflow runs without manual intervention
Example Workflow:
Modified at 2026-01-02 09:58:15
Previous
History
Next
Adding Records to Tables