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Study Recruitment Trailing Mean Series + Two-Measure Correlation
x402
Study Recruitment Trailing Mean Series + Two-Measure Correlation 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 a trailing moving average series and a Pearson/two-measure correlation report for study recruitment data (eligible_candidates and enrolled_candidates) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Study recruitment — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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 independent analytical reports: (1) a trailing mean series showing the rolling average of the selected field (eligible_candidates or enrolled_candidates) over the specified window across all supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between eligible_candidates and enrolled_candidates. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Monitor clinical trial enrollment trends
“I have weekly clinical trial recruitment figures across two site groups for the past 20 weeks — can you compute a trailing mean series with a window of 4 on eligible_candidates and also give me the correlation between eligible and enrolled candidates?”
Evaluate course enrollment conversion rate
“Here's my month of daily course group recruitment data — 30 rows with eligible_candidates and enrolled_candidates. Please run a 7-day trailing mean on eligible_candidates and tell me the two-measure correlation between eligibles and enrollments across the series.”
Detect seasonal dips in candidate pipeline
“I want to spot smoothed dips in our candidate pipeline. Can you run a trailing mean series with window 5 on enrolled_candidates for these 50 rows of recruitment data and also compute the correlation between eligible_candidates and enrolled_candidates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-09-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular study or course recruitment data (up to 200 rows) with eligible and enrolled candidate counts and need both a smoothed time-series view (trailing mean) and a linear correlation between the two measures in a single $0.01 call. It is ideal for offline/batch analytical jobs where no live data fetching, predictions, or external actions are needed — just pure local statistical computation on supplied rows.
Side effects
- Fewer than 2 rows supplied — minimum 1 row required but trailing mean needs at least window-size rows to produce meaningful results
- Window size exceeds number of rows — trailing mean output will have limited or no fully-windowed values
- Invalid date format — dates must match YYYY-MM-DD pattern
- Row count exceeds 200 — request will be rejected
- Null values in eligible_candidates or enrolled_candidates may reduce correlation accuracy
- Payment failure via x402 protocol will prevent execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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