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Inventory Administration — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Inventory Administration — Record Quality Audit + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs two local analytical reports on up to 200 inventory session/discrepancy rows: a record quality audit and a secondary-measure weighted mean calculation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied inventory administration records (count_sessions, discrepancy_count). 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 record quality audit identifying data completeness, validity, and anomaly flags for each row, and (2) a weighted mean calculation for the selected secondary measure (count_sessions or discrepancy_count) across all supplied rows. Both reports are computed locally with no external lookups.
Example use cases
Weekly inventory session quality check
“I have this week's inventory session records for two teams — about 50 rows with session counts and discrepancy counts per day. Can you run a quality audit on the records and also compute the weighted mean of count_sessions across all rows?”
Discrepancy rate analysis by team group
“Audit the data quality of our inventory administration records and give me the weighted mean of discrepancy_count. I've got 120 rows covering groups A, B, and C over the past quarter — I want to know if there are any bad records and what the overall weighted average discrepancy looks like.”
Spotting gaps in session tracking data
“We're seeing some weird numbers in our session tracking. Can you run a record quality audit on these 30 inventory rows and compute the weighted mean for discrepancy_count so I can identify which records have quality issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular inventory administration data (up to 200 rows) and need both a data quality audit and a weighted mean statistic in a single low-cost call. It is ideal for offline/batch analytics on already-collected data where no live lookup, prediction, or external enrichment is required. Prefer this over generic analytics services when cost efficiency matters — two reports for $0.01 USDC — and when your data fits the inventory session/discrepancy schema.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, count_sessions, discrepancy_count) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Null values in numeric fields may reduce weighted mean accuracy or flag those rows in the quality audit
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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