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Numeric Precision Comparisons — Grouped Summary & Keyed Dataset Comparison
x402
Numeric Precision Comparisons — Grouped Summary & Keyed Dataset Comparison 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).
Computes grouped numeric statistics and row-keyed comparison reports for source vs. transformed value pairs across up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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: (1) a grouped numeric summary aggregating statistics (e.g. mean, min, max, count) per dataset_group for the selected field, and (2) a keyed dataset comparison report matching rows by row_id across the primary and secondary datasets to surface per-row and aggregate differences. No external lookups or predictions are made; all computation is local.
Example use cases
ETL transformation accuracy audit
“I have a before-and-after dataset from our ETL pipeline — up to 120 rows each with a row_id, group label, date, source_value, and transformed_value. Can you run a grouped numeric summary and a keyed comparison on the source_value field across both datasets to identify where the transformation introduced discrepancies?”
Financial data precision validation
“We ran a currency rounding process on 80 rows of financial data. Each row has a row_id, dataset_group, date, original amount as source_value, and the rounded result as transformed_value. Can you give me a grouped summary and a side-by-side keyed comparison on source_value to quantify precision loss by group?”
A/B model output numeric comparison
“I have outputs from two versions of our scoring model — both datasets have the same row_ids, a group field, a date, and scores in source_value and transformed_value. Please run a grouped numeric summary and keyed dataset comparison on transformed_value so I can see how the two model versions differ per group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-098?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to locally analyze numeric precision differences between a source and a transformed dataset in a grouped, auditable way — especially for ETL validation, model output comparison, or data transformation QA. It delivers two bundled analytical reports (grouped summary + keyed comparison) for $0.01 USDC, making it cost-effective for batch validation up to 200 rows. Prefer this over general-purpose analytics tools when you already have structured row data with group labels and want deterministic, offline computation with no external data dependencies.
Side effects
- Exceeds 200-row limit — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause schema validation failure
- Mismatched row_ids between primary and secondary datasets may result in unmatched rows in the comparison report
- Null values in source_value or transformed_value are accepted but may affect aggregate statistics
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Values outside ±1,000,000,000,000 range are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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