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Export Validation — Numeric Row Ordering + Trailing Mean Series
x402
Export Validation — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Validates export records by computing numeric row ordering and trailing mean series for valid_rows and exported_rows fields across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Export validation — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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 row ordering report ranking the supplied rows by the selected field, and (2) a trailing mean series report computing rolling window averages of the selected field (valid_rows or exported_rows) across the provided rows. No external lookups or predictions are made — all analysis is performed on the supplied data only.
Example use cases
ETL pipeline export audit
“I have 50 export validation records from my nightly ETL run — each has a row_id, dataset_group, date, valid_rows, and exported_rows. Can you run numeric row ordering and a trailing mean series on the exported_rows field with a window of 5 to check for anomalies?”
Data quality trend smoothing
“Run export validation analytics on my 30-row dataset — I want to see both numeric row ordering and the trailing mean series for the valid_rows field using a window of 7 so I can spot gradual drift in my export pipeline.”
Multi-group export consistency check
“I've got export records across two dataset groups over the past month, 80 rows total. Can you compute numeric row ordering and a trailing mean series with window size 4 on exported_rows to help me compare consistency across the groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-14-115?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ordering and trailing mean series analytics on export validation data (valid_rows, exported_rows) in a single call. It is ideal for lightweight, local ETL audits where no external data lookup or prediction is required, and when your dataset fits within 200 rows. Prefer it over broader data reconciliation endpoints when your specific focus is export validation with these two analytical techniques combined.
Side effects
- Fewer than 1 row supplied — minItems:1 not satisfied
- More than 200 rows supplied — maxItems:200 exceeded
- Invalid date format — must match YYYY-MM-DD pattern
- Window size less than 2 or greater than 200 — out of range
- Field value outside allowed numeric range (±1,000,000,000,000)
- Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) on any row
- Invalid field enum — must be 'valid_rows' or 'exported_rows'
- Payment failure — 0.01 USDC not successfully processed via x402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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