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Software Quality String Normalisation
x402
Software Quality String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Normalises string fields in software quality issue records (component names, dates) across up to 200 rows of issue tracking data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Software quality - String normalisation: String normalisation for Software quality. 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 string normalisation deliverable.
Output
Returns up to 200 normalised and string-standardised software quality issue records, with cleaned component name strings, standardised date fields, and processed issues_opened and issues_closed values. Output is locally processed with no external enrichment.
Example use cases
Clean component names before dashboard ingestion
“I have a batch of 50 software issue rows with inconsistent component name strings — things like 'Group A', 'group-a', 'GroupA' all mixed together. Can you normalise all the string fields so the component names are consistent before I load them into the dashboard?”
Standardise defect tracker export for reporting
“I exported 120 rows from our defect tracker with dates in mixed formats and component labels that aren't standardised. Can you run string normalisation on all of them so the date fields follow YYYY-MM-DD and the component strings are uniform?”
Pre-process issue data before trend analysis
“Before I run a trend analysis on our software quality data, I need to normalise the string fields in these 80 issue records — the row IDs, component names, and date strings need to be cleaned up so they're consistent. Can you do that?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-software-quality-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation specifically for software quality issue records (component names, dates, issue counts) in batches of up to 200 rows, without requiring external enrichment or forecasting. Prefer it over general-purpose string cleaning tools when your data conforms to the issue tracking schema (row_id, component, date, issues_opened, issues_closed) and you want a low-cost ($0.01 USDC) deterministic processing step.
Side effects
- Rows array is empty (minItems:1 not met)
- More than 200 rows submitted (maxItems:200 exceeded)
- Date field does not match YYYY-MM-DD pattern
- row_id missing or blank (minLength:1 violated)
- issues_opened or issues_closed values exceed numeric bounds
- Payment not included or insufficient (x402 protocol)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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