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Manufacturing Output – Grouped Numeric Summary
x402
Manufacturing Output – Grouped Numeric Summary 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).
Computes grouped numeric summary statistics (e.g. sum, mean, min, max) for manufacturing output records (units or defects), grouped by production line, using locally supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Manufacturing output - Grouped numeric summary: Grouped numeric summary for Manufacturing output. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded grouped numeric summary deliverable.
Output
A grouped numeric summary (e.g. count, sum, mean, min, max) of the chosen field (units or defects) broken down by production line, computed locally from up to 200 supplied manufacturing records, with data-quality indicators. No external data sources or forecasting are involved.
Example use cases
Daily line output comparison
“I have a week of production data across two lines — line-a and line-b — with units and defects recorded daily. Can you group it by line and give me a numeric summary of units so I can see which line produced more?”
Defect rate review by production line
“We tracked defects on three production lines over the last month. Can you group all 80 records by line and summarize the defects field so I can see the min, max, and average defects per line?”
Quality audit data rollup
“I need a grouped summary of our manufacturing output records for the quality audit — group by production line and summarize units. I'll send you up to 150 rows with row IDs, dates, line names, units, and defect counts.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-manufacturing-output-group-summary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 manufacturing output records with units and defects fields and need fast, local grouped statistics broken down by production line — no external data, forecasting, or enrichment needed. Ideal for quick operational rollups, quality audits, or line-comparison tasks without sending data to a third-party analytics platform.
Side effects
- Missing required fields (row_id, line, date, units, defects) causes validation error
- Exceeding 200 rows returns an error about maxItems constraint
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null numeric values may affect aggregate results depending on data-quality handling
- Unsupported field enum value (not 'units' or 'defects') returns schema error
- Empty rows array (minItems:1 not met) returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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