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Issue Throughput Analyzer — Record Quality Audit, String Normalisation & Weighted Mean
x402
Issue Throughput Analyzer — Record Quality Audit, String Normalisation & Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs three local analytical reports on issue throughput data (issues_opened, issues_closed): a record quality audit, string normalisation, and a secondary-measure weighted mean — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Issue throughput — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied issue throughput records (issues_opened, issues_closed). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging missing values, type errors, and out-of-range entries; (2) a string normalisation report standardising component name formatting; and (3) a secondary-measure weighted mean report computing a weighted average of the selected field (issues_opened or issues_closed) across supplied rows. All computed locally with no external lookups.
Example use cases
Sprint data quality check
“I have 120 rows of daily issue throughput data from our sprint — can you run a record quality audit and string normalisation on the component names, and also compute a weighted mean for issues_opened? The components are things like 'Auth Service' and 'API Gateway'.”
Bug backlog weighted mean
“Run a weighted mean analysis on my issues_closed data for 80 rows across components 'group-a' through 'group-d' dated from 2026-10-01 to 2026-12-31 — I want to know which component drives the most closed issues on a weighted basis.”
Release pipeline issue audit
“Can you audit these 200 rows of issue throughput records for quality problems and normalise the component strings? The data covers issues_opened and issues_closed per day for our release pipeline components.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-13-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to run up to three combined data quality and statistical operations on issue throughput records in a single low-cost call ($0.01 USDC). It is ideal for software engineering teams auditing daily issue open/close counts per component without needing live data lookup, prediction, or external integrations. Prefer it over separate audit or normalisation tools when you want all three reports (quality audit, string normalisation, weighted mean) bundled for up to 200 rows.
Side effects
- Fewer than 1 row or more than 200 rows provided — request rejected
- Missing required fields (row_id, component, date, issues_opened, issues_closed) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Field selector not one of 'issues_opened' or 'issues_closed' — enum validation error
- Payment of 0.01 USDC not provided or declined — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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