Operations
Nightly data quality checks
Runs your invariants against production every night and tells the on-call analyst which rows broke and since when.
The prompt
This is the whole configuration
Paste it into a workflow and edit it in plain English. There is nothing else to wire up.
Every night at 3am, run our data quality checks against the production Postgres replica. Check that: no order has a null currency, every account's plan is one of the four values in our enum, no invoice has a total below zero, every user row has a matching account, and the events table has received rows in each of the last 24 hours. For every failing check, find how many rows are affected, identify the earliest affected row and its timestamp, and look at what changed upstream around that time. Email the on-call analyst through Resend with only the failures, the affected row counts, the first occurrence, and the query you ran. When everything passes, send nothing.
Trigger
What starts this agent
Example output
What you get back
Every run leaves a readable record: the steps the agent took and the result it produced.
2 checks failed
- `orders.currency` null on 41 rows since 02:10
- `accounts.plan` has 3 values outside the enum
- 12 checks passed
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Run Nightly data quality checks on your stack.
Connect the integrations, paste the prompt, attach the trigger. The agent takes it from there.