Find Shopify buyers who have no NetSuite customer record

**Objective:** Find Shopify customers created on or after {from-date} (default 30 days ago) who have no NetSuite customer with the same email, checking up to {max-records} customers (default 50).

**Step 1: Read customers from Shopify**

Call `shopify-get-customer` (Shopify server) with `created-at.from` set to {from-date} and `max-records` set to {max-records}. Keep `customer-id`, `name`, `email`, `orders-count` and `total-spent`. Set aside any customer with a blank `email` and list them separately as unmatchable.

**Step 2: Look each email up in NetSuite**

For each customer with an email, call `netsuite-get-customer` (NetSuite server) with `email` set to that address. Compare emails case-insensitively. Keep `internal-id`, `name` and `balance` of the match.

**Step 3: Report**

A table grouped by outcome: matched, matched but name differs, and not in NetSuite. Show Shopify `name`, `email`, `orders-count`, `total-spent` and, where matched, the NetSuite `internal-id` and `balance`. End with counts per group and the total `total-spent` of the customers missing from NetSuite.

**Rules & Guidelines:**

* Tools whose names start with netsuite- are on the NetSuite server; tools whose names start with shopify- are on the Shopify server. Both servers must be connected.
* This is a read-only job. Do not call any tool whose name starts with netsuite-add-, netsuite-update-, shopify-add- or shopify-update-, and never create, change or delete a record on either side.
* Report only what the tools return. Do not estimate or invent figures; totals are sums of rows you actually retrieved, and say so.
* If a read returns the maximum number of rows, say the result may be truncated and suggest narrowing the filters.
* Dates are YYYY-MM-DD. Where an input is blank, use the default stated in the Objective.

**Validation:**

* If the first read returns nothing, say so and stop rather than guessing.
* If a lookup on the other system returns more than one record, list them and mark the row ambiguous instead of choosing one.
* If a lookup returns nothing, report the record as present in one system and absent from the other, and continue with the next row.
* If the two systems disagree on a value, show both values side by side and do not decide which is right.