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Issue Throughput Record Quality Audit + Adjacent Row Changes
x402
Issue Throughput Record Quality Audit + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs two local analytical reports on issue throughput data: a record quality audit and an adjacent row changes analysis, for up to 200 rows of issues_opened/issues_closed data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Issue throughput — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied issue throughput records (issues_opened, issues_closed). 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
Two independent analytical reports: (1) a record quality audit identifying missing values, format errors, out-of-range values, and other data integrity issues in the supplied rows; and (2) an adjacent row changes report highlighting differences between consecutive rows for the selected field (issues_opened or issues_closed), grouped by component and date. Results are computed locally without external lookups.
Example use cases
Sprint data quality check
“I've got about 80 rows of daily issue tracking data across a few components — can you audit the record quality and flag adjacent row changes in the issues_closed numbers so I can catch any weird spikes or bad entries before our sprint review?”
Backlog anomaly detection
“Run a record quality audit and adjacent row changes analysis on my backlog data — I have rows with date, component, issues_opened, and issues_closed for the past quarter, and I want to focus on the issues_opened field to find anything suspicious.”
CI pipeline data validation
“Before I feed our issue throughput records into the dashboard, can you do a quality audit and check for unusual changes between consecutive rows? I have about 150 rows covering multiple components, and I want to look at the issues_closed column.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-13-011?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have issue throughput tabular data (issues opened/closed by component and date) and need both a data quality audit and a consecutive-row change analysis in a single low-cost call ($0.01 USDC). It is ideal for pre-processing issue tracking exports before dashboarding or reporting, especially when you want offline/local analytical results without any external data enrichment or prediction.
Side effects
- Missing required fields (row_id, component, date, issues_opened, issues_closed) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- Submitting an empty rows array (minItems: 1 violation) is rejected
- Invalid field enum value (not issues_opened or issues_closed) causes an error
- Payment not included or insufficient USDC causes a 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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