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Software Quality – Duplicate Key Report
x402
Software Quality – Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Scans up to 200 software quality records and identifies duplicate row keys across component/date combinations
Price / call$0.01
Success—
StatusUnknown
How this service works
Software quality - Duplicate key report: Duplicate key report 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 duplicate key report deliverable.
Output
A duplicate key report listing which row_id values appear more than once in the submitted dataset, along with details on the offending records (component, date, issues_opened, issues_closed). Bounded to the 200 submitted rows; no external data is fetched or enriched.
Example use cases
Pre-import data quality gate
“Before I load these 150 software quality records into our database, check them all for duplicate row IDs and tell me which keys appear more than once so I can fix them first.”
CI pipeline data validation step
“I have a batch of 80 daily issue-tracking rows for our components — run a duplicate key check on them and flag any row_id that shows up more than once.”
Audit historical quality logs
“I've pulled together component issue data from the last quarter — around 200 rows — and I need to know if any row identifiers are duplicated before I hand this off to the analytics team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-software-quality-key-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC) local duplicate-key check on up to 200 software quality records without any external enrichment. Ideal as a lightweight data-quality gate before ingesting issue-tracking data into a database or pipeline. Prefer it over heavier data-quality platforms when the dataset is small and the only requirement is identifying duplicate row identifiers.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Malformed date strings (not matching YYYY-MM-DD pattern) cause schema validation failure
- Missing required fields (row_id, component, date, issues_opened, issues_closed) on any row cause rejection
- Payment failure or insufficient USDC balance prevents call execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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