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Numeric Precision Comparisons — Row Ordering & Keyed Dataset Comparison
x402
Numeric Precision Comparisons — Row Ordering & 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).
Runs two local analytical reports on supplied numeric data: ordered ranking of rows by a chosen value field, and a keyed comparison between two datasets identifying differences per row.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + 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) the input rows sorted/ranked by the chosen numeric field (source_value or transformed_value), and (2) a keyed comparison between the primary dataset and the 'other' dataset, showing per-row numeric differences and mismatches. All computation is local with no external lookups.
Example use cases
ETL transformation audit
“I ran a data transformation pipeline and I want to verify it worked correctly. Here are my original rows and the transformed rows — each has a row_id, dataset_group, date, source_value, and transformed_value. Please rank them by source_value and show me a comparison report highlighting any differences between the two datasets.”
Financial data delta check
“I have two versions of our monthly revenue dataset — before and after an adjustment — with about 80 rows each. Can you order them by transformed_value and compare the two keyed datasets so I can see exactly which rows changed and by how much?”
QA check on measurement pipeline
“We have sensor readings from our pipeline — 30 rows with row_id, group, date, source_value, and transformed_value. Can you rank them by source_value and run a keyed comparison against our reference dataset to flag any numeric discrepancies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-123?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local numeric comparison and ranking of up to 200 rows across two datasets without requiring external data sources. Ideal for ETL audits, transformation validation, and data quality checks where you already have both datasets and need structured difference and ordering reports in a single call at minimal cost ($0.01 USDC).
Side effects
- Missing required fields (row_id, dataset_group, date, source_value, or transformed_value) causes validation error
- Exceeding 200 rows per dataset results in rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not allowed (minItems: 1)
- Mismatched row_ids between primary and 'other' dataset may result in unmatched rows in comparison report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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