Fourth Connector
Fourth is a leading brand that offers restaurant and hospitality-specific technology, services, and analytics to efficiently manage your workforce and inventory
FourthYour warehouseLive
Agent context over MCPSet up in minutes.
No code, no maintenance.
Fourth
Data source
Fourth in your warehouse.
Ready for your agents.
Fourth is a leading brand that offers restaurant and hospitality-specific technology, services, and analytics to efficiently manage your workforce and inventory Weld's Fourth connector is fully managed: it extracts data from Fourth, loads it into your warehouse, and keeps it in sync. The data lands in a clean, documented schema with agent context attached, so analysts can query it with SQL or dbt, and agents can query it over the Weld MCP server without guessing at tables or joins.
Fourth data schema.
The map your agents read.
Every table, field and relationship Weld syncs from Fourth is served to agents as context over MCP, so they pick the right tables and join on the right keys.
- tables
- 33
- fields
- 565
- relationships
- 17
Fourth models.
What the numbers mean.
Open-source SQL that turns the raw Fourth tables into the reports people ask about. Deploy them in Weld and your agent queries the definitions, not guesses.
- Labour cost dailyLabour hours and cost per day and department, split by Fourth's payroll type, pay part and status.grain: date x department x payroll type x pay part x status
- Labour vs salesLabour cost as a share of sales, and sales per labour hour, per day and department. The headline wage-percentage view in Fourth.grain: date x department
- Sales forecast accuracyHow close Fourth's system forecast and the manager's forecast came to actual sales, per day, department and sales type. Forecasts drive the rota, so a forecast that runs high is labour cost spent on empty tables.grain: date x department x sales type
- Staffing accuracyFourth's productivity view: of the hours worked each day, how many were at the right staffing level, and how many under or over the requirement.grain: date x location
- Weekly budget vs actualBudgeted sales and labour against actuals, per budget week, location and department.grain: budget week x location x department
Ask your agent.
It already knows Fourth.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Fourth context, finds the tables it needs and queries your warehouse.
- Agent contextFourth tables, fields and joins
- QuerySQL against your warehouse
- OperateCheck, rerun and refresh syncs
How many employee rows do we have per employee? Use our Fourth data.
Reading the Fourth context first, so the query uses the right tables and keys.
Load Fourth into any warehouse.
Set up in minutes, no code.
Everything you need.
To get started.
Set it up in code.
One REST API.
Use the Weld Connect REST API to create Fourth connections, configure ELT syncs, and manage pipelines entirely through code. Built for embedding, automation, and CI/CD workflows.
▌Common questions.
About connectors.
Something not covered here? A data engineer can walk through your setup with you.
Talk to usPut your Fourth data to work.
Connect Fourth, pick a warehouse, and your agents can query it today. Free for 14 days, no credit card.
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