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Manufacturing Output Daily Sum Series
x402
Manufacturing Output Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes a daily sum time series for manufacturing output metrics (units or defects) from submitted production line records
Price / call$0.01
Success—
StatusUnknown
How this service works
Manufacturing output - Daily sum series: Daily sum series 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 daily sum series deliverable.
Output
Returns a daily sum time series where each entry represents the total of the selected field (units or defects) across all submitted records for that calendar date. Up to 200 input rows are processed locally without external enrichment; output is bounded and deterministic numeric aggregation keyed by date.
Example use cases
Daily production rollup by date
“I have records for two production lines over the past week — line A and line B — each with daily unit counts. Can you sum up all units produced per day across both lines so I can see the daily total output?”
Daily defect rate trend tracking
“I need to track total defects per day across all my manufacturing lines for October. Here are the row-level records with dates, line names, and defect counts — can you give me the daily sum series for the defects field?”
Multi-line output aggregation for reporting
“We have 50 production line entries from last month, each with a date, line name, and units produced. Can you aggregate these into a daily sum series for units so I can drop it into our weekly operations report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-manufacturing-output-date-series?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have row-level manufacturing production or defect data that needs to be aggregated into a daily sum time series. It is ideal for operations reporting workflows where you need to roll up multi-line factory records by date without requiring external data enrichment or forecasting. Best suited for up to 200 records processed in a single bounded call at low cost.
Side effects
- Invalid date format (must match YYYY-MM-DD pattern) causes validation failure
- Empty rows array or missing required fields (row_id, line, date, units, defects) cause schema rejection
- Exceeding 200 row limit causes request to be rejected
- Null values in the selected numeric field are handled but may affect sum totals
- Invalid field enum value (anything other than 'units' or 'defects') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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