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Cursor for code. Pointer for the database.

File Edit View
Pointer
analysis.sql
users
1 2 3 4 5 6 7 8 9 10 
-- Calculate Monthly Recurring Revenue
WITH active_subs AS (
  SELECT user_id, amount
  FROM subscriptions
  WHERE status = 'active'
)
SELECT
  DATE_TRUNC('month', CURRENT_DATE) as month,
  SUM(amount) as mrr
FROM active_subs;
New Chat
Can you find our top 5 enterprise customers this month?
Fetched schema
Thought processPlanning next moves..
Thought process 
Need to find top 5 enterprise customers by total spend this month. Will query users joined with orders, filter by segment 'enterprise', group by user and sum order amounts, then order by total and limit 5.
Med
DB: production Index in sync
Line 1 Column 1 Spaces 4 SQL Safe Mode

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Pointer is the direct link between your thoughts and your databases.

"Find users who churned..."
SELECT * FROM users...

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Hand off complex architectures to the Agent. It doesn't just write SQL queries. It understands the logic and structure of your entire database.

Find users who churned after 3 months
Fetched schema
Thought process
Thought process 
Identified subscriptions table. Found join path through user_id. Calculating date difference logic.
SELECT query 5 rows 
SELECT u.email, s.canceled_at
FROM users u
JOIN subscriptions s ON u.id = s.user_id
WHERE s.status = 'canceled'
AND EXTRACT(day FROM s.canceled_at - u.created_at) > 90;

Context by design.

@mention any table: @users, @orders, @subscriptions. The agent knows exactly what you mean. Like Cursor's @file, but for your database.

What's the revenue from @users this quarter?
Tables focused in context

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top_enterprise 1-3 of 3
#
id
company_name
total_spent
status
1
120
Acme Corp
$45,000
Active
2
98
Weyland Yutani
$38,500
Active
3
42
Cyberdyne
$12,000
Churned

Inline cell editing.

Ask "Change this user's email to X" and the agent edits the cell directly. No manual SQL. read_cell and edit_cell, done.

Update email in row 42 to [email protected]
Edited users.email

Unmatched velocity.

The Agent indexes database structures completely autonomously. Pointer leverages this context instantly, capturing complex relationships before you can even articulate them.

Index ready · Query resolution < 50ms
[10:42:01] Fetching schema for db:production…
[10:42:01] Found 42 tables, 184 columns.
[10:42:02] Schema mapped to local graph.
[10:42:02] Analyzing foreign key relations…
[10:42:02] Relations mapped successfully.
[10:42:03] Generating semantic embeddings…
[10:42:03] Index ready. Query resolution < 50ms.

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Low Med High

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Undo every agent request, one by one. No more DROP ALL panic. Roll back migrations, queries, and schema changes with a single click. Full history, full control.

Could you please drop all temp tables? I dont need it anymore.
Fetched schema
Thought process
Thought process 
Identified temp_* tables. Preparing DROP.
Ran SQL query 0 rows affected Rolled back 
DROP TABLE IF EXISTS temp_analytics_2024;
Hover user message to rollback

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One toggle. Zero writes. Ever. Read-only mode locks the agent to SELECT, SHOW. No INSERT, UPDATE, DELETE, or DDL.

Safe Mode

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Autonomous · Safe Mode

Full power. One toggle to lock it down. Zero writes. Undo anything, one click.

Autonomous

Indexes, reasons, executes—on its own. Complex queries in seconds.

Safe Mode

One toggle. Zero writes. SELECT, SHOW only. No INSERT, UPDATE, DELETE, DDL.

Rollback

Undo any request, one by one. No DROP ALL panic. Full history, full control.

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