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Numeric Precision Comparisons — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Numeric Precision Comparisons — Record Quality Audit + String Normalisation + Grouped Numeric Summary 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 local analytical reports (record quality audit, string normalisation, and grouped numeric summary) on up to 200 rows of source/transformed numeric pairs, grouped by dataset category and date.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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 generated locally from the supplied rows: (1) a record quality audit flagging completeness and anomaly issues, (2) a string normalisation report on the numeric field representations, and (3) a grouped numeric summary (statistics by dataset_group). No external data is fetched or predictions made.
Example use cases
ETL pipeline output validation
“I just ran an ETL job and want to verify the numeric precision across my 120 records — each has a source_value and a transformed_value grouped by 'raw' and 'processed' categories with daily dates from 2025-01-01 to 2025-04-30. Can you run the record quality audit, string normalisation, and grouped numeric summary on these rows so I can spot any drift or data quality issues?”
Finance reconciliation grouped summary
“I have 80 rows of financial data with original and adjusted figures grouped into 'actuals' and 'forecasts' dataset groups dated throughout Q1 2025. Run the three analytics reports — quality audit, string normalisation check, and grouped numeric summary — focusing on the source_value field so I can see how the numbers break down by group.”
Data migration precision audit
“We migrated a database last week and I need to check the numeric precision of the migrated values against the originals. I have 200 rows with row IDs, a 'legacy' and 'migrated' dataset_group split, dates ranging from 2024-06-01 to 2024-06-30, and both source_value and transformed_value columns. Please give me all three reports: quality audit, string normalisation, and grouped numeric summary.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled local analytical reports (quality audit, string normalisation, grouped summary) on numeric source-vs-transformed pairs in a single low-cost call ($0.01 USDC). It is ideal for ETL validation, data migration audits, and numeric precision QA where no external lookups or ML predictions are needed and data stays local. Prefer it over single-report endpoints when you need all three report types simultaneously for up to 200 rows.
Side effects
- Exceeding 200 rows causes rejection — trim input to 200 rows maximum
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) causes validation error
- Dates not matching YYYY-MM-DD pattern are rejected by schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid enum value for 'field' parameter causes error
- Empty rows array is rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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