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Draft Pivot SQL Query
Draft report SQL from team chat requests and your database schema
Use this Agent instantly or customize it - no programming needed
- Report requestReport request
Your teammate's chat message names the report rows, categories, measure, filters, and period.
- SQL dialectSQL dialect
Your chosen SQL dialect determines the syntax of the pivot query.
- Approved tablesApproved tables
Your approved table list limits which database tables the Agent can use.
- Additional table relationshipsAdditional table relationships
Your supplied relationships connect approved tables when the schema does not declare their joins.
- Table schemaTable schema
Your table schema shows column names, types, and declared keys for the approved tables.
Your Agent uses team chat to read report requests and reply in the same thread.
Your Agent uses database schema to check approved columns and key relationships without reading table rows.
- Follow-up questionFollow-up question
Your teammate gets a specific question in the report thread when the Agent cannot finish the draft.
- Follow-up questionFollow-up question
Your teammate gets a specific question in the report thread when the Agent cannot finish the draft.
- Pivot SQL queryPivot SQL query
Your teammate gets a copyable, read-only query with the requested categories as columns.
- Totals explanationTotals explanation
Your teammate sees how the query groups rows, applies filters, and calculates totals.
This Agent waits for a pivot report request in your chosen chat channel. It checks the request against your database schema. It replies in the thread with SQL and an explanation of the totals.
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SlackUsed as:
- Team chat
Your Agent uses Slack to read report requests and reply in the same thread.
AirtableUsed as:
- Database schema
Your Agent uses Airtable to check approved columns and key relationships without reading table rows.
AsanaUsed as:
- Team chat
Your Agent uses Asana to read report requests and reply in the same thread.
ClickUpUsed as:
- Team chat
Your Agent uses ClickUp to read report requests and reply in the same thread.
ZoomUsed as:
- Team chat
Your Agent uses Zoom to read report requests and reply in the same thread.
TelegramUsed as:
- Team chat
Your Agent uses Telegram to read report requests and reply in the same thread.
Microsoft TeamsUsed as:
- Team chat
Your Agent uses Microsoft Teams to read report requests and reply in the same thread.
Google ChatUsed as:
- Team chat
Your Agent uses Google Chat to read report requests and reply in the same thread.
Microsoft Office 365Used as:
- Database schema
Your Agent uses Microsoft Office 365 to check approved columns and key relationships without reading table rows.
BasecampUsed as:
- Team chat
Your Agent uses Basecamp to read report requests and reply in the same thread.
Google BigQueryUsed as:
- Database schema
Your Agent uses Google BigQuery to check approved columns and key relationships without reading table rows.
MySQLUsed as:
- Database schema
Your Agent uses MySQL to check approved columns and key relationships without reading table rows.
PostgreSQLUsed as:
- Database schema
Your Agent uses PostgreSQL to check approved columns and key relationships without reading table rows.
SQL ServerUsed as:
- Database schema
Your Agent uses SQL Server to check approved columns and key relationships without reading table rows.
KintoneUsed as:
- Database schema
Your Agent uses Kintone to check approved columns and key relationships without reading table rows.
Made for your industry
Draft Pivot SQL Query is made for businesses in these industries.
- Advertising and Marketing
Draft SQL that compares campaign totals across requested channels.
Show all Agents for the Advertising and Marketing industry - Retail
Draft SQL with product categories as columns in sales reports.
Show all Agents for the Retail industry - Software
Draft SQL that compares product usage across requested plans.
Show all Agents for the Software industry - Manufacturing
Draft SQL that compares production totals across requested lines.
Show all Agents for the Manufacturing industry - Financial Services
Draft SQL that shows transaction totals by requested account category.
Show all Agents for the Financial Services industry - Market Research
Draft SQL that puts survey response categories into report columns.
Show all Agents for the Market Research industry
Made for your role
Draft Pivot SQL Query is made for people in these roles.
- Marketing Analyst
Draft pivot SQL for campaign reports requested by teammates.
Show all Agents for the Marketing Analyst role - Data Analyst
Match report questions to schema fields and draft pivot SQL.
Show all Agents for the Data Analyst role - Reporting Analyst
Draft pivot SQL and explain totals for teammates' report requests.
Show all Agents for the Reporting Analyst role - Operations Analyst
Draft pivot SQL for recurring operations reports.
Show all Agents for the Operations Analyst role - Sales Operations Analyst
Draft SQL that breaks pipeline totals out by requested category.
Show all Agents for the Sales Operations Analyst role
Made for your department
Draft Pivot SQL Query is made for people in these departments.
- Sales Operations
Draft pivot SQL for recurring pipeline reports from the sales team.
Show all Agents for the Sales Operations department - Data Analytics
Map requested report categories to schema fields and draft SQL.
Show all Agents for the Data Analytics department - Business Intelligence
Turn teammates' report questions into pivot SQL they can review.
Show all Agents for the Business Intelligence department
How Draft Pivot SQL Query works
4 steps, in order, on every run.
-
Read the report requestCheck the request for row groups and category values. Ask in the thread for missing measures or filters.
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Check the database schemaMatch requested fields to table columns and join keys. Ask which field or relationship to use if the schema lacks one.
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Draft the pivot SQL queryChoose the row grain and aggregation, then write read-only SQL in your chosen dialect. Explain how filters shape the totals.
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Reply in the request threadPost the SQL draft and a short explanation in the original chat thread. Describe what each total counts.
How to Get Started
Connect the tools you already use, such as Slack, Airtable or Asana.
15 tools
- Choose the report request channel and the mention that starts a request.
- Grant metadata access to the approved database tables and set the SQL dialect.
- Supply any approved table relationships that are not declared in the database schema.
Use safe mode to approve every result before it goes out, or let the Agent run automatically.
FAQs
Frequently asked questions about the Draft Pivot SQL Query:
You choose the report channel and mention that starts requests. You also set the SQL dialect and grant schema access for the tables you approve.
No. The Agent reads schema metadata to draft SQL. Your team reviews and runs the query.
Your teammate can name the category values in the chat request. If they leave those out, the Agent asks in the same thread before drafting.
The Agent explains the mismatch in the thread and asks your teammate which field or relationship to use.
It stops and asks you. The Agent does not guess when it reaches a decision you have not approved.
Yes. Every run creates a plain-language log that you can review and export. Logs are kept for twelve months.
The Agent stops at the end of the billing month and its tool connections are removed. Your run logs remain available for twelve months.