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The Rosetta Stone for print data.

Every channel, supplier and machine speaks its own dialect. Transformers in Atomyx Manage translate each one into the data model you define, so every order looks the same to your views, triggers and flows.

Operator mapping data at a workstation

Every standard covers one link.

JDF and XJDF describe production. PromoStandards lets distributors query suppliers. Webshops speak REST and JSON. Marketplaces send CSV. No standard carries an order end to end.

Transformers use the standards where they exist and bridge the gaps where they don't. Atomyx Manage is standards-led, not standards-limited.

JDFXJDFJMFPromoStandards REST · JSONWebhooksCSV · XMLMCP

Plug-ins ship with default transformers for their own systems, so most sources work out of the box.

Five formats in. One Order out.

Pick a source. The same transformer pattern maps each one into the same Order object, with the same fields your views and flows depend on.

Pick a source:
Webshop webhookJSON
Transformer

Order

Preview
customer
orderSource
priority
carrierCode
countryCode
orderDate
orderLines
Five formats in, one Order object out. Same fields, same views, same flows downstream.Atomyx Manage

Mapping you can read.

Each target property gets one rule. Operators and consultants read a transformer like a table, and change it without a developer.

Transformer rules table: copy, join, fixed value, condition, lookup, each array element
Copy

Take a value as it is.

orderId

Join

Combine fields into one.

firstName · lastName

Fixed value

Set a constant per source.

"Webshop"

Condition

Set a value when a rule matches.

quantity > 100

Lookup

Translate codes through a table.

dhl → DHL_EXPRESS

Each array element

Create a related record per item.

lines[ ]

Pattern

Match with a regular expression.

^U\.?P\.?S

Script

JavaScript for the edge cases.

parseDayFirst(date)

AI assistant creating a transformer through MCP

Describe the mapping. Review the result.

Connect your AI assistant to Atomyx Manage through the Model Context Protocol. It reads your object types, drafts the transformer, previews it on real orders and tells you what needs a decision.

  • Reads your data modelYour objects, your properties, your naming.
  • Previews on real recordsMapped counts, created lines, unknown values, flagged before activation.
  • Inactive until you review itThe assistant proposes. Your team activates.

Safe by default.

Preview first

Run any transformer against real records and see exactly what it creates before it touches production.

Nothing lost

Fields that don't match a rule are stored as raw properties and logged as a warning, never dropped.

Insert or update

Match on your own keys, such as an order ID, so repeat messages update the record instead of duplicating it.

Reusable in flows

Call any transformer from a flow step, on inbound triggers or between systems.

Bring one order format. We map it live.

In a demo we take one of your real payloads and build the transformer with you.