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Numeric Precision Comparisons — Numeric Distribution + Daily Sum Series
x402
Numeric Precision Comparisons — Numeric Distribution + Daily Sum Series 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).
Analyzes user-supplied numeric precision comparison data (source vs. transformed values) to produce two local analytical reports: a numeric distribution breakdown and a daily sum time series.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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 on the supplied rows: (1) a numeric distribution report showing statistical spread, frequency buckets, and key percentiles for the selected field; and (2) a daily sum series aggregating the selected field's values by date. Both reports cover up to 200 input rows with no external lookups or live data.
Example use cases
ETL pipeline precision audit
“I have up to 150 rows of before-and-after numeric values from my ETL pipeline — each row has a date, a dataset_group like 'pipeline-a', and both source_value and transformed_value. Can you give me a numeric distribution and daily sum series on the source_value field so I can see where precision is being lost?”
Financial rounding error analysis
“I'm tracking rounding differences in our financial calculations — I have a table with dates, group labels, original amounts as source_value, and rounded amounts as transformed_value for about 80 records. Can you run both the distribution report and daily sum series on the transformed_value field?”
ML feature transformation QA
“We're QA-ing a feature transformation step in our ML pipeline and I want to compare raw vs. scaled values. I have around 200 rows with row IDs, dates, dataset_group set to 'feature-set-1', and source_value and transformed_value columns. Can you generate the numeric distribution and daily sum series reports analyzing source_value?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-075?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of paired numeric data (source and transformed values) with date and group labels and want two bundled analytical reports — distribution and daily sum series — computed locally with no external dependencies, all for $0.01 USDC. It is ideal for data quality audits, ETL validation, or transformation QA where you need a quick statistical snapshot rather than real-time lookups, predictions, or external enrichment.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, dataset_group, date, source_value, or transformed_value) on any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Numeric values outside allowed range (-1e12 to 1e12) — schema violation
- Invalid field selector enum value (must be 'source_value' or 'transformed_value')
- All values null for selected field — distribution and sum series cannot be computed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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