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Question Bank Coverage — Record Quality Audit + Grouped Numeric Summary
x402
Question Bank Coverage — Record Quality Audit + Grouped Numeric Summary 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).
Audits record quality and produces grouped numeric summaries for question bank coverage data (item_count, objective_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Question bank coverage — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary for supplied question bank coverage records (item_count, objective_count). 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 two independent reports: (1) a record quality audit identifying data issues such as missing values, out-of-range entries, or malformed records across the supplied rows; and (2) a grouped numeric summary of the selected field (item_count or objective_count) aggregated by course_group, including statistics like counts, sums, means, and distributions. Both reports are generated locally without external lookups.
Example use cases
Course group item count audit
“I have question bank coverage data for two course groups over the past week — can you audit the record quality and give me a grouped numeric summary of item_count? Here are the rows: row-1, 2026-10-01, group-a, item_count 10, objective_count 1; row-2, 2026-10-02, group-b, item_count 20, objective_count 2; row-3, 2026-10-03, group-a, item_count 15, objective_count 3.”
Objective count completeness check
“Please run a data quality audit plus a grouped summary on these question bank records focusing on the objective_count field: row-1, 2026-10-01, group-a, item_count 10, objective_count 1; row-2, 2026-10-02, group-b, item_count null, objective_count 2; row-3, 2026-10-03, group-a, item_count 15, objective_count null — flag any missing values and group by course_group.”
Multi-group coverage reporting
“I need a grouped numeric summary and a record quality report for my question bank coverage across three course groups — here are 6 rows with dates from 2026-09-01 to 2026-09-06, groups alpha, beta, and gamma, item counts ranging from 5 to 50, and objective counts from 1 to 8. Analyze the item_count field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-18-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured question bank coverage data with item_count and objective_count fields and need both a data quality audit and a grouped statistical summary in a single call. Ideal for education data teams reviewing course group coverage completeness, or analysts who want grouped statistics and quality flags without building custom analytics. Best when your dataset is under 200 rows and you want offline, deterministic analysis with no external dependencies.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, course_group, date, item_count, objective_count) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern cause validation failure
- Selecting a field value outside the enum ['item_count','objective_count'] returns a schema error
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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