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Numeric Precision Comparisons — Daily Sum Series + Date by Category Pivot
x402
Numeric Precision Comparisons — Daily Sum Series + 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 analytical reports (daily sum time series and date-by-category pivot table) from user-supplied numeric precision comparison data (source_value vs transformed_value) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Daily sum series + Date by category pivot: Daily sum series + 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 from the supplied rows: (1) a daily sum series showing totals of the selected field (source_value or transformed_value) aggregated by date, and (2) a date-by-category pivot table cross-tabulating the selected field by date and dataset_group. No external data is fetched; all computation is done on the provided rows (up to 200).
Example use cases
ETL pipeline accuracy audit
“I ran an ETL job on our sales figures and I need to compare source_value versus transformed_value across 150 records by date and business unit — can you give me a daily sum series and a category pivot to see where the numbers diverge?”
Daily revenue transformation check
“Here are 80 rows of revenue data with dates, group names, and both raw and transformed amounts — can you generate a daily sum time series and a date-by-category pivot table on the source_value field so I can spot any anomalies?”
Data quality report for model inputs
“I have 200 rows of model input records spanning October, each with a source value and a transformed value labeled by dataset group — can you produce a daily aggregate series and a pivot by category and date on the transformed_value field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-143?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of numeric records with source and transformed values organized by date and category, and you need both a time-series daily aggregate and a cross-tabulated pivot in a single call. Ideal for ETL auditing, data transformation QA, and precision drift analysis where you want two complementary views without setting up a local analytics environment. Best suited for datasets up to 200 rows where a quick, low-cost ($0.01 USDC) dual-report is sufficient.
Side effects
- Fewer than 1 row or more than 200 rows causes a validation error
- Malformed date strings (not YYYY-MM-DD) are rejected
- source_value or transformed_value outside ±1,000,000,000,000 are rejected
- Missing required fields (row_id, dataset_group, date) cause schema validation failure
- Invalid field enum value (anything other than 'source_value' or 'transformed_value') is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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