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Numeric Precision Comparisons — Equal-Width Histogram + Date by Category Pivot
x402
Numeric Precision Comparisons — Equal-Width Histogram + 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).
Generates two local analytical reports (equal-width histogram and date-by-category pivot) for supplied numeric precision comparison data (source_value vs transformed_value) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Equal-width histogram + Date by category pivot: Equal-width histogram + 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
Returns two independent analytical reports computed locally from the supplied data: (1) an equal-width histogram showing bin ranges and row counts for the chosen field (source_value or transformed_value) across up to 30 bins, and (2) a date-by-category pivot summarizing numeric values grouped by date and dataset_group — all without any external lookup or prediction.
Example use cases
ETL pipeline transformation audit
“I've got 150 rows from our ETL run — each row has a source_value and a transformed_value, a dataset group, and a date. Can you generate a 10-bin equal-width histogram on source_value plus a date-by-category pivot so I can see how values distributed and how they changed across groups?”
Data quality check after normalization
“After normalizing our sensor readings, I have 80 rows comparing original readings (source_value) to normalized ones (transformed_value) across three groups and dates in October 2026. Run both the histogram with 8 bins and the date-by-category pivot on the transformed_value field so I can spot any anomalies.”
Financial model input validation
“I have 200 rows of financial model inputs where source_value is the raw figure and transformed_value is the adjusted one, split across 5 portfolio groups with daily dates. Give me a 5-bin equal-width histogram and a date-by-category pivot on source_value so I can validate the distribution before we publish the report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-173?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular numeric comparison data (source vs transformed values) segmented by group and date, and need both a frequency distribution histogram and a date-by-category pivot in a single low-cost call. Ideal for ETL validation, data transformation audits, or any scenario where you want to understand the distribution and temporal/categorical breakdown of numeric precision differences without external dependencies. At $0.01 USDC for two reports on up to 200 rows, it's highly cost-effective for batch analytical passes.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required row fields (row_id, dataset_group, date, source_value, transformed_value) — schema validation failure
- bins value outside 1–30 range — rejected by schema
- source_value or transformed_value outside ±1,000,000,000,000 — rejected by schema
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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