CRM

The templates in this pack

Company-level CRM records: domain, industry, headcount, country, ARR band.

Schema

The canonical field set, printed as it ships.

7 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.

accounts_v1

fields: 7
required: 2
validated: 1
hints: 22

Canonical column	Type	Required	Validators	Header hints the cascade matches
`id`	string	yes	—	matched on the column name
`name`	string	yes	—	firmaunternehmensociétéaziendaempresa
`domain`	string	—	`url`	websitewebsitio weburl
`industry`	string	—	—	brancheindustrieindustriasector
`employee_count`	number	—	—	mitarbeiteremployésdipendentiempleadosstaff
`country`	string	—	—	landpayspaesepaís
`arr_band`	enumunder_100k100k_1m1m_10m10m_100mover_100m	—	—	matched on the column name

Read the same definition as JSON at GET /v1/templates/accounts_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.

7 canonical fields
2 required
1 validated
22 header hints
CRM pack

Try it

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

8 rows, DE headers, ARR bands. 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=@accounts_sample.csv" \
  -F "template=accounts_v1"

→ upload created · mappings ready · confirm before commit

Download accounts_sample.csv Open in Workbench →

mcp

adaptivmapr.match_headers({
  template_id: "accounts_v1",
  headers: ["id", "name", "domain", "industry"]
})

schema-only · headers and ≤3 clamped rows only

Put accounts 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