Column Configuration
Open your dataset → Click column header → Edit Column. Column Name & Description: Use descriptive names and explain the column’s purpose. Data Type: Short Text, Long Text, Number, Date, Boolean, Email, URL, Phone, or JSON. Validation Rules: Set length limits, format patterns, value lists, min/max ranges, or conditional rules based on other columns.Example Validation
AI Agent Assignment
Assign agents to columns for automatic processing: Enrichment Mode: Agent adds information to empty cells, preserving existing data. Enhancement Mode: Agent improves or standardizes existing data. Analysis Mode: Agent analyzes data and adds insights, original data preserved.Column Instructions
Customize agent behavior with column-specific guidance:Processing Settings
Batch Size: Records to process at once (default: 100) Schedule: Immediate, scheduled, triggered, or manual processingData Quality
The system calculates quality metrics for each column: Completeness: % of non-empty values Validity: % passing validation rules Consistency: Standardization and format consistency Accuracy: Estimated accuracy from validation Set thresholds to trigger alerts when quality drops below acceptable levels.Next Steps
Working with Records
Edit, filter, and manage data records
Creating Agents
Build AI agents to process column data
Importing Data
Import data into your datasets
API Reference
Technical documentation for columns