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Study Recruitment Duplicate Key Report + Adjacent Row Changes
x402
Study Recruitment Duplicate Key Report + 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).
Analyzes study recruitment records to detect duplicate row keys and compute adjacent row changes for eligible_candidates or enrolled_candidates fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Study recruitment — Duplicate key report + Adjacent row changes: Duplicate key report + 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 duplicate key report identifying any repeated row_id values in the supplied records, and (2) an adjacent row changes report showing value differences between consecutive rows for the selected field (eligible_candidates or enrolled_candidates). Covers up to 200 rows per call with no external lookups.
Example use cases
Audit clinical trial enrollment records
“I have a batch of clinical study recruitment records with row IDs, course groups, dates, and candidate counts — can you check them for any duplicate row IDs and show me where the enrolled_candidates numbers changed between consecutive rows?”
Validate course group candidate data
“Before I submit this recruitment report, can you scan my dataset of eligible and enrolled candidate rows for duplicate keys and compute the adjacent row differences on the eligible_candidates field? I have about 80 rows.”
Monitor recruitment trends across sessions
“I've got four weeks of study recruitment data organized by date and course group — can you flag any repeated row IDs and tell me how the enrolled_candidates count changed from one row to the next?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-09-062?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific data quality analyses — duplicate key detection and adjacent row change computation — on study recruitment records with eligible and enrolled candidate counts. Ideal for small-to-medium datasets (up to 200 rows) where you want a quick, low-cost ($0.01 USDC) batch audit without external lookups or predictions. Best suited for education/research recruitment contexts where row integrity and sequential trend detection matter.
Side effects
- Empty rows array returns validation error
- More than 200 rows exceeds maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, course_group, date) causes rejection
- Invalid field enum value other than eligible_candidates or enrolled_candidates causes error
- Null numeric values may affect adjacent row change calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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