What free or low-cost scripts can I run to maintain clean data hygiene practices across our marketing automation database this month?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What free or low-cost scripts can I run to maintain clean data hygiene practices across our marketing automation database this month?
3 real searches · 1 real-search pass
open source data quality tools Great Expectations dbt tests marketing CRM data validation documentation 2026Google ↗
OBSERVEDOther / navigational
Python email validation library syntax check email-validator documentationGoogle ↗
OBSERVEDInstruction
PostgreSQL SQL duplicate detection data quality checks marketing contactsGoogle ↗
OBSERVEDConsequence
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
open source data quality tools Great Expectations dbt tests marketing CRM data validation documentation 2026 Google ↗
Python email validation library syntax check email-validator documentation Google ↗
PostgreSQL SQL duplicate detection data quality checks marketing contacts Google ↗
- dbt · getdbt.com
- Great Expectations Core · github.com
- Elementary · github.com
- Python email-validator · pypi.org
- Best open-source data quality and observability tools 2026 · datakitchen.io
- The 2026 Open-Source Data Quality and Data Observability Landscape · datakitchen.io
- GitHub - JoshData/python-email-validator: A robust email syntax and deliverability validation library for Python. · github.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
open source data quality tools Great Expectations dbt tests marketing CRM data validation documentation 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Python email validation library syntax check email-validator documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
PostgreSQL SQL duplicate detection data quality checks marketing contacts OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |