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Export Validation — Numeric Interval Filter + Keyed Dataset Comparison
x402
Export Validation — Numeric Interval Filter + 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 2026-10-19).
Applies a numeric interval filter to a selected field and compares two export validation datasets by row key, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Export validation — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison for supplied export validation records (valid_rows, exported_rows). 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 analytical reports: (1) a numeric interval filter report identifying rows where the selected field (valid_rows or exported_rows) falls within or outside a defined interval, and (2) a keyed dataset comparison report highlighting differences between the two supplied datasets matched by row_id. Up to 200 rows processed per call. No external data or live lookups are used.
Example use cases
Nightly export discrepancy audit
“I ran two export jobs last night and got different row counts for the same records — here are both datasets with row_id, dataset_group, date, valid_rows, and exported_rows. Can you compare them by row key and also filter valid_rows by numeric interval to flag anything that looks off?”
Pipeline regression check between releases
“We deployed a new ETL version and I want to compare export validation records from before and after the release — both have up to 150 rows with valid_rows and exported_rows. Run a keyed comparison and an interval filter on exported_rows so I can see what changed.”
Dataset group completeness validation
“I have export validation data for two different dataset groups across 90 dates, and I want to check whether the valid_rows values fall within an expected numeric interval and whether the two groups match row-by-row. Can you generate both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-14-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously run a numeric interval filter and a keyed row-by-row comparison on export validation records (valid_rows, exported_rows) within a single paid call. It is purpose-built for export audit workflows where you supply two datasets and need both outlier/interval detection and cross-dataset discrepancy reporting in one step. Prefer it over generic analytics services when your data fits the export validation schema (row_id, dataset_group, date, valid_rows, exported_rows) and you want a low-cost ($0.01 USDC) serverless analysis with no external dependencies.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema pattern mismatch error
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure
- Empty rows array (minItems:1 violated) — request rejected
- Mismatched row_ids between primary and comparison datasets may produce incomplete comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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