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Study Recruitment Numeric Row Ordering and Adjacent Row Changes
x402
Study Recruitment Numeric Row Ordering and 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 2026-10-25).
Analyzes study recruitment data (eligible and enrolled candidates) by computing numeric row ordering and adjacent row changes across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Study recruitment — Numeric row ordering + Adjacent row changes: Numeric row ordering + 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
Returns two analytical reports for the supplied recruitment data: (1) a numeric row ordering report ranking rows by the selected field (eligible_candidates or enrolled_candidates), and (2) an adjacent row changes report showing the difference between each consecutive row for that field. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Track daily enrollment shifts across course groups
“Here are my daily study recruitment records for October — 4 rows across group-a and group-b with eligible and enrolled candidate counts — can you rank them by eligible_candidates and tell me how the numbers change from one row to the next?”
Monitor candidate drop-off between consecutive study dates
“I've got 10 rows of recruitment data from my clinical study with date, course group, eligible candidates, and enrolled candidates — please compute the adjacent row changes for enrolled_candidates so I can see where drop-off is happening.”
Compare course group recruitment performance over time
“Can you take my 20-row study recruitment dataset — each row has a date, course group, eligible count, and enrolled count — and generate a numeric row ordering plus adjacent change report for eligible_candidates so I can see which rows stand out?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-09-116?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric ordering and a sequential (adjacent row) change analysis on study recruitment records in a single call for up to 200 rows. It is ideal for education or clinical trial recruitment pipelines where you need to rank rows and detect row-over-row fluctuations in candidate counts without any external data lookups or ML inference.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows submitted — batch limit exceeded
- Invalid date format (must match YYYY-MM-DD pattern)
- row_id missing or empty — required field
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value — must be 'eligible_candidates' or 'enrolled_candidates'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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