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Study Recruitment Record Quality Audit + Adjacent Row Changes
x402
Study Recruitment 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 2026-10-26).
Runs two local analytical reports on study recruitment data: a record quality audit and an adjacent row change detection, for up to 200 rows of eligible/enrolled candidate records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Study recruitment — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied study recruitment records (eligible_candidates, enrolled_candidates). 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 issues such as missing values, format errors, or out-of-range figures in the specified field across up to 200 rows; (2) an adjacent row change report highlighting value shifts between consecutive rows in the same field. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Enrollment Data Integrity Check
“I have 4 weeks of study recruitment records for two course groups — can you audit the eligible_candidates field for data quality issues and flag any unusual jumps between consecutive rows?”
Candidate Drop Detection Across Groups
“Run an adjacent row change analysis on my enrolled_candidates data across group-a and group-b from October 1 to October 4, 2026, so I can spot where enrollment dropped or spiked unexpectedly.”
Pre-submission Recruitment Data Validation
“Before I submit my recruitment report, can you do a record quality audit on my 150 rows of study data — row IDs, dates, course groups, and both eligible and enrolled candidate counts — and flag any quality problems or big changes between adjacent rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-09-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, inexpensive ($0.01 USDC) dual-report check on study recruitment tabular data — specifically when you want both a record quality audit and adjacent-row change detection in a single call, without needing live data lookups or predictive modeling. Best suited for education or research teams validating candidate pipeline data before reporting or analysis.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, course_group, eligible_candidates, enrolled_candidates) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range — rejected
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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