E-commerce

The templates in this pack

Repeat e-commerce buyers: identity, contact, default shipping, lifetime stats.

Schema

The canonical field set, printed as it ships.

9 fields with multilingual hints (DE / FR / IT / EN / ES) and field-level validators. Any source column that resolves to one of these is mapped by the cascade — most of them on the deterministic layers, with no LLM call.

customers_v1

fields: 9
required: 2
validated: 2
hints: 28

Canonical column	Type	Required	Validators	Header hints the cascade matches
`id`	string	yes	—	matched on the column name
`email`	email	yes	`email`	e-mailmailcorreocourriel
`first_name`	string	—	—	vornameprenomprénomnombregiven name
`last_name`	string	—	—	nachnamenomcognomeapellidosurname
`phone`	phone	—	`phone`	telefontéléphonetelefonophonemobile
`default_shipping_address_id`	string	—	—	matched on the column name
`created_at`	date	—	—	matched on the column name
`lifetime_orders`	number	—	—	anzahl bestellungennombre de commandesnumero ordininúmero de pedidos
`lifetime_value`	number	—	—	lifetime valueumsatz gesamtchiffre d'affaires totalricavi totalivalor total

Read the same definition as JSON at GET /v1/templates/customers_v1. A hint match resolves on layer 2 — no LLM call, no token spend, just the flat per-map fee. Hover a validator id to see what it checks.

9 canonical fields
2 required
2 validated
28 header hints
E-commerce pack

Try it

A real file, a real call, one template id.

8 rows, mixed headers, lifetime stats. Fully synthetic — safe to share, commit, and run in CI.

bash

curl -X POST https://api.adaptivmapr.com/v1/uploads \
  -H "Authorization: Bearer $ADAPTIVMAPR_API_KEY" \
  -F "file=@customers_sample.csv" \
  -F "template=customers_v1"

→ upload created · mappings ready · confirm before commit

Download customers_sample.csv Open in Workbench →

mcp

adaptivmapr.match_headers({
  template_id: "customers_v1",
  headers: ["id", "email", "first_name", "last_name"]
})

schema-only · headers and ≤3 clamped rows only

Put customers in production — without shipping raw records.

Schema-only mapping leaves only headers and a handful of clamped samples. Add full-data when you need row-level AI, routed in-region under a BAA.

Full template page See pricing