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Travel Administration Two-Measure Correlation and Missing-Value Fill
x402
Travel Administration Two-Measure Correlation and 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 2026-10-24).
Computes Pearson correlation between trip_count and recorded_cost, and fills missing values in a chosen field using zero, mean, or median imputation for up to 200 travel administration rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied travel administration records (trip_count, recorded_cost). 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 Pearson correlation coefficient between trip_count and recorded_cost across all supplied rows, and (2) the dataset with missing values in the specified field (trip_count or recorded_cost) replaced using the chosen method (zero, mean, or median). Results are computed locally with no external lookups.
Example use cases
Corporate travel spend correlation
“Here are 150 rows of our team travel records with trip_count and recorded_cost per group and date — can you calculate the correlation between number of trips and cost, and fill any missing recorded_cost values using the mean?”
Missing trip count imputation for finance
“Our travel dataset has some null trip_count entries across different team groups. Can you fill those nulls using median imputation and also tell me how correlated trip_count is with recorded_cost across all 80 rows?”
Travel data quality check before reporting
“Before I send our Q3 travel report, I need you to zero-fill any missing trip_count values in these 60 rows and compute the correlation between trip count and recorded cost so I know how tightly they track each other.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular travel administration data (up to 200 rows) with trip_count and recorded_cost fields and need both a correlation statistic and missing-value imputation in a single $0.01 call. Prefer it over general-purpose analytics tools when you want a lightweight, self-contained statistical operation with no external data access, no prediction, and deterministic local computation.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, team_group) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 range rejected
- Requesting imputation on a field that has no nulls returns data unchanged but still counts as a report
- Submitting fewer than 1 row fails minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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