Agent context

Salesforce Commerce Cloud models

2 SQL models that turn the raw Salesforce Commerce Cloud tables into the reports people ask about. Deploy them in Weld and your agent queries the definitions behind every number.

Get them on GitHub Connect an agent over MCP

How the set is built

1
Raw tables
3
Staging
2
Core
2
Analytics

Staging cleans each raw table once, core holds the logic, and analytics is the table dashboards and agents read.

Product sales over timeThe sales equation per product line, on the day the order was placed.grain: day x instance x site x order x product line · 1 raw table
Sales over timeThe sales equation per order, on the day the order was placed.grain: day x instance x site x order · 1 raw table

Weld or dbt: The same SQL in both dialects. Sync the folder with GitHub Sync, or copy the dbt models into your project.
Check before you rely on it: Reconcile a month against Salesforce Commerce Cloud's own reports first. Each model's notes say what the synced data can and can't support.

Connect Salesforce Commerce Cloud.
Your agents start with context.

Sync Salesforce Commerce Cloud to your warehouse, deploy these models, and query them from Claude, Cursor or ChatGPT over MCP. Free for 14 days, no credit card.

Start for free Talk to us

Salesforce Commerce Cloud models

Connect Salesforce Commerce Cloud.Your agents start with context.

Connect Salesforce Commerce Cloud.
Your agents start with context.