Is Data Mapping Reviewer free?

The setup guide and prompt are free. In Claude it works on any plan, including Free, which allows up to five projects. In ChatGPT it needs a plan with Work on the web, such as Plus, Pro or Business.

Does it merge or clean my files?

No. It returns a mapping table, an exception list with row IDs and up to five questions for the data owner. The data owner approves the rules, and an analyst applies them to copies with your normal data tool.

How much data do I give it?

Up to three source layouts, with at most ten anonymized rows each, plus source and row IDs, key definitions, and units, currency and date conventions. It checks only that sample, so it never claims the full files are clean.

Does it connect to my spreadsheets?

No. It reads only the text you paste, plus, in Claude, the data dictionary you save in the project. It needs no connected app and never edits a file.

When is a normal import tool better?

For stable formats that repeat, standard intake templates, validation rules and Power Query or other import tools are better. Use this for uncertain mappings a person must settle first.

Data Mapping Reviewer

Review data mapping before merging files

Data Mapping Reviewer is an AI agent you set up in the ChatGPT or Claude you already use. Paste your target data dictionary and a few sample rows from each source file, and it proposes a field mapping, lists the exceptions by row and asks the data owner what it can’t settle, before anyone merges the files.

Pick your AI for the steps and the prompt

About each AI:ChatGPT WorkClaude app

Checked 29 Oct 2026. Not run by JuicyAgents yet. Written from each AI’s official docs; the example is illustrative.

Data Mapping Reviewer · reply in the chat

Ready for data-owner review, 3 questions on source B

KeepA1 customer ID 0017 as text
B CustomerCannot be assumed to be customer_id
03/04/2026Stays ambiguous
AmountLacks gross/currency definitions
B1/B2Possible duplicate records under T0Retained for review

Illustrative example: two fictional invoice extracts checked against a made-up data dictionary.

How it works

What it does for you, and what it leaves to you.

Analysts receive spreadsheets with changing column names, formats and field meanings. Combining them too early can hide missing values, duplicates or incompatible definitions.

Explain ambiguous field differences and draft review questions from varied text. It does not clean a workbook or prove a mapping works on every row. Standard intake templates, validation rules and Power Query or other existing import tools are better for stable repeated formats. Use this assistant only to prepare uncertain mappings that a human must resolve first.

You stay in charge. The data owner approves definitions, mappings and exception handling. An authorized analyst applies approved rules to copies with the normal data tool and checks full-data totals.

You get

A proposed field mapping, row-level examples and unresolved data questions

It never

Edit, merge or upload your files, or run code
Map a column on a similar name alone
Guess a date format, currency, unit, time zone or whether a total includes tax
Delete a possible duplicate or choose which row wins
Claim the full dataset is clean from a sample

The mapping review it writes

The example above, in words.

Keep A1 customer ID 0017 as text. B Customer cannot be assumed to be customer_id, 03/04/2026 stays ambiguous, and Amount lacks gross/currency definitions. B1/B2 are possible duplicate records under T0, retained for review.

Settings

The setup prompt starts with the defaults, marked here.

Mapping review order

Choose how the assistant organizes the result; evidence and review rules stay the same.

Target field (default)
Source file

Your working rules

Approved field definitions, unique keys, locale and null-handling rules. Use anonymized examples; never assume two similar names identify the same person.

Optional. Empty unless you fill it in.

Check the first result

Each setup page has a fictional exercise to paste first. A good answer to it meets all of these.

Leading zeros in 0017 are preserved.
B Amount is not accepted as gross EUR 120 without evidence.
Removing an essential input causes a question or a blocked item, not an invented fact.

Questions people ask

Is Data Mapping Reviewer free?: The setup guide and prompt are free. In Claude it works on any plan, including Free, which allows up to five projects. In ChatGPT it needs a plan with Work on the web, such as Plus, Pro or Business.
Does it merge or clean my files?: No. It returns a mapping table, an exception list with row IDs and up to five questions for the data owner. The data owner approves the rules, and an analyst applies them to copies with your normal data tool.
How much data do I give it?: Up to three source layouts, with at most ten anonymized rows each, plus source and row IDs, key definitions, and units, currency and date conventions. It checks only that sample, so it never claims the full files are clean.
Does it connect to my spreadsheets?: No. It reads only the text you paste, plus, in Claude, the data dictionary you save in the project. It needs no connected app and never edits a file.
When is a normal import tool better?: For stable formats that repeat, standard intake templates, validation rules and Power Query or other import tools are better. Use this for uncertain mappings a person must settle first.

Have us set it up

Rather not set it up yourself?

We set up Data Mapping Reviewer in your own accounts and the AI you already pay for, test it on your real work, and hand it over with a short walkthrough.

From $299

Runs in your accounts; you own everything
Tested before handover
Money back if we can’t make it work

Request a setup