Data & File Processing
Guides merging multiple uploaded datasets into one unified, consistent table.
A focused file analysis agent for analysts
Multi-File Data Merger is an AI agent built to guide merging multiple uploaded datasets into one unified, consistent table. It is built for analysts, operators, researchers, and teams working with files who need to avoid joining spreadsheets before checking keys, column conflicts, duplicates, and merge strategy. Add at least two files to merge, column or fields to match on, and output format; the agent turns those inputs into structure comparison, merge strategy, example rows, and conflict notes. Run it once per file batch or dataset, then reuse the slots whenever the input format repeats.
Start with at least two files to merge. Then add column or fields to match on and output format so the agent has enough context to produce structure comparison, merge strategy, example rows, and conflict notes.
Yes. That is one of the core outputs. More specific inputs produce more specific results.
It asks for the details most likely to change the answer, especially at least two files to merge, column or fields to match on, and output format. That prevents joining spreadsheets before checking keys, column conflicts, duplicates, and merge strategy.
Yes. Use the file-or-text slots for spreadsheets, documents, transcripts, exports, or pasted text, then specify the exact extraction or analysis goal.
Yes. Add your preferred format, examples, tools, or constraints in the slots, and the agent can shape the result around them.
Clarify at least two files to merge, add missing constraints, and state what a good result should include. The next run will usually improve when the failure mode is explicit.