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Partnership Pipeline — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Partnership Pipeline — Two-Measure Correlation + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes Pearson correlation between qualified_partners and active_partners, and fills missing values in either measure using zero, mean, or median imputation, for up to 200 partnership pipeline rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Partnership pipeline — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied partnership pipeline records (qualified_partners, active_partners). 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 correlation result showing the statistical relationship between qualified_partners and active_partners across the supplied rows, and (2) a filled dataset where null values in the chosen field have been replaced using the specified imputation method (zero, mean, or median). No external data is fetched; all computation is performed on the supplied rows.
Example use cases
Pipeline correlation for quarterly review
“I've got our Q3 partnership pipeline records across group-a and group-b — up to 80 rows with qualified_partners and active_partners. Fill any missing active_partners values with the mean and tell me how correlated the two measures are.”
Zero-fill missing partner counts
“Some of our active_partners entries are blank in the partnership dataset — treat those as zero, then run the two-measure correlation report on all 120 rows so I can see if qualified pipeline drives actual partner activation.”
Median imputation for clean dataset export
“Before I export our partnership pipeline, I need to fill nulls in qualified_partners using the median across all 200 rows, and also get the correlation between qualified_partners and active_partners for the full dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-09-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw partnership pipeline tabular data (up to 200 rows) with qualified_partners and active_partners columns and need both a correlation analysis and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal when your data is already structured and you need offline statistical computation without live lookups or external integrations. Prefer alternatives if you need time-series forecasting, more than 200 rows, or more than two measures analyzed simultaneously.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — rejected with row-limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unknown imputation method outside enum [zero, mean, median] — rejected
- Correlation undefined if one measure has zero variance across all rows
- Missing required fields row_id or company_group — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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