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Numeric Precision Comparisons — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Numeric Precision Comparisons — Record Quality Audit + String Normalisation + Two-Measure Correlation 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 three analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 rows of paired numeric source/transformed values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging completeness, nulls, and anomalies; (2) a string normalisation report on text fields; and (3) a two-measure correlation analysis between source_value and transformed_value. All analysis is performed locally without external lookups.
Example use cases
ETL pipeline transformation validation
“I have 120 rows from our nightly ETL run where each row has an original source value and the transformed value after processing — can you audit the record quality, normalise the string fields, and tell me how well the two numeric measures correlate? Rows are grouped into 'revenue' and 'cost' datasets, dated from 2026-09-01 to 2026-09-30.”
Data migration accuracy check
“We just migrated 80 records from our old system to the new one and I need to verify the numeric precision held up — can you run a quality audit and correlation analysis on the before-and-after values? Each row has a row_id, a date between 2026-01-01 and 2026-04-01, and belongs to either 'legacy' or 'modern' dataset groups.”
Financial data transformation audit
“Can you audit these 200 rows of financial figures where source_value is the raw reported number and transformed_value is after our normalisation step? I need the record quality report, string normalisation check, and correlation between the two measures — rows are grouped into 'actuals' and 'forecasts' dated across Q3 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, correlation) on paired numeric source/transformed records in a single cost-efficient call ($0.01 USDC for up to 200 rows). Prefer it over separate analytics tools when your data is already in row form with source and transformed numeric values and you want offline, deterministic analysis without any external API dependencies or live lookups.
Side effects
- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, date, source_value, transformed_value) are rejected
- Dates not matching YYYY-MM-DD pattern cause schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Payment failure (insufficient USDC balance) blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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