Repeatability
High
The structure is identical every time: three JSON files, known format quirks, a fixed reference list, and deterministic transformation rules. This is a textbook repeatable ETL job that benefits directly from automation.
Ambiguity Tolerance
High
Success criteria are explicit — normalized dates, USD currency, matched client names, flagged unknowns. The only soft edge is fuzzy client name matching, but that is bounded by the provided reference list and a clear fallback rule (flag unmatched rows).
Data & Tool Availability
High
The user supplies all required inputs directly: three JSON exports and a client reference list. No live API access, credentials, or external permissions are needed to execute the transformation.
Error Cost
Low
The output is a merged staging table, not a write-back to any live ad platform or financial system. Mistakes are visible on inspection and trivially correctable before the data is used downstream.
Human Judgment Required
Low
Nearly all decisions are rule-based: date parsing, currency conversion via a rate lookup, and fuzzy string matching against a reference list. The only judgment call is resolving ambiguous client name variants, and the agent can surface those for human confirmation rather than guessing.