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Numeric Precision Comparisons — Record Quality Audit & Date-by-Category Pivot
x402
Numeric Precision Comparisons — Record Quality Audit & Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs two local analytical reports on supplied numeric source/transformed value pairs: a record quality audit and a date-by-category pivot, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports returned together: (1) a record quality audit flagging issues in the supplied source_value/transformed_value pairs (e.g. nulls, out-of-range, mismatches), and (2) a date-by-category pivot summarizing the selected field (source_value or transformed_value) grouped by date and dataset_group. No external lookups or predictions are made — all analysis is local to the supplied rows.
Example use cases
ETL pipeline numeric accuracy audit
“I just ran an ETL job and want to check data quality — can you audit these 10 records for me? Each row has a row_id, dataset_group, date, source_value, and transformed_value. Flag any quality issues and also pivot the source_value totals by date and group.”
Transformation precision drift detection
“I have 50 rows from my data transformation run — source values are the raw sensor readings and transformed values are after my scaling function. Give me a record quality audit plus a date-by-category breakdown so I can see if any categories are drifting, using transformed_value as the field to pivot.”
Monthly batch data quality review
“At the end of each month I need a quality audit of my dataset plus a date-grouped category pivot — here are 150 rows with row_ids, groups, dates in YYYY-MM-DD format, and both source and transformed numeric values. Run both reports and tell me which records have quality problems.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of paired numeric source/transformed data and need both a record quality audit and a date-by-category pivot in a single cheap call ($0.01 USDC). It is best suited for ETL validation, transformation accuracy checks, and batch data quality reviews where no external data, live lookups, or predictions are needed.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Row missing required fields (row_id, dataset_group, date, source_value, transformed_value) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- Invalid field enum value (must be 'source_value' or 'transformed_value') — error returned
- Payment of 0.01 USDC not included or fails — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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