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Inventory Administration — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Inventory Administration — 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 2026-10-25).
Computes Pearson correlation between count_sessions and discrepancy_count, and fills missing values using zero, mean, or median for up to 200 inventory administration rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Inventory administration — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied inventory administration records (count_sessions, discrepancy_count). 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 for the submitted inventory rows: (1) a Pearson correlation coefficient between count_sessions and discrepancy_count across all valid rows, and (2) the dataset with missing values in the specified field explicitly filled using the chosen strategy (zero, mean, or median). No external lookups or predictions are made — all computation is local and deterministic.
Example use cases
Inventory discrepancy correlation audit
“I've got 120 rows of inventory admin data by team group and date — can you correlate count_sessions against discrepancy_count and fill any nulls in count_sessions using mean imputation so I can see which teams have the strongest relationship between session volume and errors?”
Missing value cleanup for inventory report
“My inventory dataset has some missing discrepancy_count values across about 80 rows — please fill those gaps using median fill and also compute the correlation between session counts and discrepancies so I get both reports in one go.”
Multi-team operations analytics
“We track session counts and discrepancy counts daily for group-a and group-b across our inventory operations — can you run the two-measure correlation analysis on our 200-row dataset and use zero fill for any missing count_sessions values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-21-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a correlation analysis and missing-value imputation on a single inventory dataset in one call. It is ideal for operations or inventory teams that track session counts and discrepancy counts by group and date, and need lightweight, local statistical processing without calling external ML or prediction services. Prefer this over generic analytics platforms when your dataset is under 200 rows and you want a cost-effective ($0.01 USDC) combined statistical report with no side effects.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds limit, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Both measures entirely null — correlation cannot be computed, NaN or error returned
- Invalid fill method enum value — schema rejection
- Payment not received or underpaid — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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