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Quality Inspections — String Normalisation + Numeric Row Ordering
x402
Quality Inspections — String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Normalises string fields and orders rows numerically for quality inspection records containing inspected_items and accepted_items, producing two local analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Quality inspections — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied quality inspections records (inspected_items, accepted_items). 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: one applying string normalisation to the team_group and other string fields across the submitted rows, and one ordering the rows numerically by the selected field (inspected_items or accepted_items). Results are computed locally against the supplied data with no external lookups.
Example use cases
Factory floor daily QC batch analysis
“I have today's quality inspection results from our two production groups — about 30 rows with row IDs, team names, dates, and counts of inspected vs accepted items. Can you normalise the team group strings and order everything by inspected_items, and give me both reports?”
Weekly acceptance rate data cleanup
“My weekly quality control export has messy team_group labels and I need the rows sorted by accepted_items numerically. Can you run string normalisation and numeric ordering on it — there are around 80 rows — and return the two analytical summaries?”
Multi-team inspection comparison ordering
“We have inspection data from four different teams across the past month, about 150 rows total, with inspected_items and accepted_items counts. Please normalise the string fields and sort everything by accepted_items so I can compare team performance cleanly.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-20-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical processing of quality inspection records — specifically string normalisation of categorical fields and numeric ordering by inspection or acceptance counts — without requiring live data lookups, predictions, or external integrations. It is well-suited for structured QC batch data cleanup pipelines where two co-produced reports per call and a fixed low cost per batch are advantageous.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, team_group, date, inspected_items, accepted_items) cause schema rejection
- Invalid date format (non YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Payment of 0.01 USDC not included causes 402 response
- Empty rows array rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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