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Study Recruitment Daily Sum Series + Base-100 Series
x402
Study Recruitment Daily Sum Series + Base-100 Series 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).
Computes daily sum time series and base-100 indexed series for study recruitment data (eligible and enrolled candidates) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Study recruitment — Daily sum series + Base-100 series: Daily sum series + Base-100 series 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: (1) a daily sum series aggregating the selected metric (eligible_candidates or enrolled_candidates) by date, and (2) a base-100 indexed series normalizing values relative to the specified base index row, enabling trend and growth analysis across up to 200 supplied recruitment records.
Example use cases
Clinical trial enrollment trend analysis
“I have daily recruitment records for a clinical trial with eligible and enrolled candidate counts across two study groups — can you compute the daily sum series and a base-100 indexed series for enrolled_candidates so I can see how enrollment grew relative to the first day?”
Education program recruitment benchmarking
“We're tracking eligible and enrolled candidates across multiple course groups over the past month. Can you generate a daily sum series and base-100 series for eligible_candidates using our 200-row dataset, with the index starting at row 0?”
Recruitment funnel performance reporting
“I need two reports on our study recruitment funnel: a daily aggregate for enrolled_candidates and a normalized base-100 growth index. Here are the rows with date, course_group, eligible_candidates, and enrolled_candidates — can you process them?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-09-138?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular study or course recruitment data with daily date stamps and need both a simple daily aggregate and a normalized growth index in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where no live data lookup or external enrichment is needed — just local analytical computation on supplied records. Prefer alternatives if you need outlier detection, deduplication, correlation, or pivot tables.
Side effects
- Missing required fields (row_id, date, course_group, eligible_candidates, enrolled_candidates) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- base_index value pointing beyond the supplied row count causes index errors
- Null numeric values in both metric fields may produce incomplete series
- Payment failure (x402) prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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