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Database Query Runs – String Normalisation
x402
Database Query Runs – String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Normalises string fields (database name, row ID) across up to 200 database query run records and returns a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Database query runs - String normalisation: String normalisation for Database query runs. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded string normalisation report.
Output
A bounded string normalisation report covering the submitted database query run records (up to 200 rows), including descriptive analytics on the string fields such as database name and row ID — highlighting inconsistencies, normalised forms, and local statistics. No external enrichment or forecasting is included.
Example use cases
Cleaning inconsistent database name labels
“I've collected query run logs from multiple teams and the database names are all over the place — some say 'Prod-DB', others 'prod_db', 'PROD DB', etc. Can you run string normalisation on these records so I get a consistent, clean report? I have about 50 rows with row IDs, dates, execution times in ms, and rows scanned.”
Pre-processing query logs before aggregation
“Before I aggregate my database query performance data for the month, I need to normalise the string fields — especially the database names and row IDs — to make sure grouping works correctly. Can you run the string normalisation report on my 120 query run records?”
Auditing string quality in query run exports
“I exported 80 database query run records from our monitoring tool and I suspect the database name field has formatting inconsistencies. Can you run a string normalisation analysis on them so I can see what needs fixing before I import them into our data warehouse?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-database-query-runs-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local string normalisation and descriptive analytics report specifically for database query run records (with fields like database name, row ID, date, execution_ms, rows_scanned) and do not need external enrichment, forecasting, or aggregation across other data types. It is ideal for data quality pre-processing steps before downstream aggregation or warehousing of query performance logs.
Side effects
- Empty rows array returns validation error
- More than 200 rows submitted exceeds maxItems limit
- Missing required fields (row_id, database, date, execution_ms, rows_scanned) causes schema rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric fields out of allowed range cause rejection
- Payment not provided or insufficient USDC balance blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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