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Asset Revisions String Normalisation and Numeric Row Ordering
x402
Asset Revisions String Normalisation and 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 strings and orders rows numerically for asset revision records (revision_count, rework_hours), producing 2 reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Asset revisions — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied asset revisions records (revision_count, rework_hours). 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 2 independent analytical reports: one with string-normalised values across the supplied asset revision rows and one with rows ordered numerically by the selected field (revision_count or rework_hours), covering up to 200 input rows with no external lookups or predictions.
Example use cases
Rank asset groups by revision count
“I have a list of 50 asset revision records across groups A, B, and C with dates, revision counts, and rework hours — can you normalise the strings and sort them numerically by revision_count to produce a clean ranked report?”
Identify rework-heavy assets
“Can you take my 80-row asset revision dataset and run string normalisation plus numeric ordering by rework_hours so I can see which asset groups are consuming the most rework time?”
Audit revision data before quarterly review
“Before our quarterly review I need two reports on our asset revision records — string normalisation and numeric row ordering for revision_count and rework_hours — I have about 150 rows across several asset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-14-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, offline string normalisation and numeric ordering for asset revision records with no external data dependencies, live lookups, or predictions. Ideal for preprocessing revision datasets (up to 200 rows) before reporting or audits, especially when you need two co-produced reports in a single low-cost call.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, asset_group, date, revision_count, rework_hours) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Field selector not one of allowed enum values (revision_count, rework_hours) — error
- Null numeric values may affect ordering output depending on handling logic
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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