Agent context
Dandomain Webshop models
2 SQL models that turn the raw Dandomain Webshop tables into the reports people ask about. Deploy them in Weld and your agent queries the definitions behind every number.
How the set is built
- 5Raw tables
- 5Staging
- 2Core
- 2Analytics
Staging cleans each raw table once, core holds the logic, and analytics is the table dashboards and agents read.
- Product sales over timeSales per order line, excluding VAT, with credit-note lines as returns.grain: day x shop x order x order line · 3 raw tables
- Sales over timeThe sales equation per order per day, excluding VAT, with credit notes as returns on the day they were issued.grain: day x shop x order · 5 raw tables
- 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 Dandomain Webshop's own reports first. Each model's notes say what the synced data can and can't support.
Connect Dandomain Webshop.
Your agents start with context.
Sync Dandomain Webshop to your warehouse, deploy these models, and query them from Claude, Cursor or ChatGPT over MCP. Free for 14 days, no credit card.