Example 1: Analyzing Employee Data Mapper Configuration

You've configured a Mapper Snap to transform employee records. After validating the pipeline, you request insights and SnapGPT reports:

• Key fields identified: The mapper renames name → full_name and salary → annual_salary. These are critical semantic upgrades that downstream Snaps depend on—any upstream changes to name or salary would break mappings.
• Derived computations detected: Three fields are computed at runtime: monthly_salary (rounded from annual/12), bonus_estimate (10% of salary), and seniority_level (derived from age using ternary logic: age < 35 = Junior, 35-44 = Mid-Level, ≥45 = Senior).
• PII compliance alert: Five fields carry PII signals and require data governance review: full_name, employee_id, age, annual_salary, and monthly_salary. Consider masking or encrypting these fields if flowing to non-secured targets.
• Configuration warning: Pass-through is disabled—only explicitly mapped fields appear in output. Any future unmapped input fields will be silently dropped.

Example 2: Validating Data Quality and Business Rules

After validating a pipeline with employee data, you request insights on data validation and SnapGPT provides:

• Validation rules applied: SnapGPT detected 9 validation rules across your fields, including employee_id (must be unique positive integer), full_name (requires first + last name format), age (valid range 18-70), and department (must match picklist: Engineering, Marketing, HR, Finance).
• Business logic boundaries identified: The seniority_level field uses age boundaries at 35 and 45. Ages exactly at 35 map to "Mid-Level"—verify this aligns with your business classification policy.
• Financial calculation review: bonus_estimate uses a flat 10% rate on all salaries. High earners (e.g., $120K → $12K bonus) have no cap applied. Consider whether tiered bonus logic is needed.
• Data quality check: The department field is case-sensitive—downstream filters use == "Engineering". Ensure upstream data sources maintain consistent casing to prevent silent filter failures.