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Batch Job Resources – Explicit Missing-Value Fill
x402
Batch Job Resources – 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 2026-10-19).
Fills missing numeric values (duration_seconds or peak_memory_mb) in batch job resource records using zero, mean, or median imputation, returning a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Batch job resources - Explicit missing-value fill: Explicit missing-value fill for Batch job resources. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded explicit missing-value fill report.
Output
A filled missing-value report covering up to 200 batch job records, where the specified numeric field (duration_seconds or peak_memory_mb) has had its null/missing entries replaced using the chosen method (zero, mean, or median), accompanied by local descriptive analytics. No external enrichment or forecasting is included.
Example use cases
Impute null job durations with median
“I have a set of batch job records where some duration_seconds entries are null — can you fill those missing values using the median method and give me a descriptive analytics summary? I'll send you the rows with row_id, job, and date fields.”
Zero-fill missing memory metrics
“Some of my batch job records are missing peak_memory_mb values. Please fill those nulls with zero and return the filled report so I can analyze resource usage across all jobs.”
Mean imputation for job resource monitoring
“I'm cleaning up my job monitoring dataset — about 150 records with some null duration_seconds. Can you impute those missing values using the mean and give me the analytics report back?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-batch-job-resources-fill-missing?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 typed batch job resource records with null numeric values (duration_seconds or peak_memory_mb) and need a quick, low-cost ($0.01 USDC) local imputation and descriptive analytics report without external data enrichment or forecasting. Ideal for lightweight data cleaning pipelines for job monitoring or scheduling systems.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Empty rows array (minItems:1 violated) returns error
- Unsupported imputation method or field name causes enum validation failure
- Numeric values outside the allowed range (±1e12) rejected
- Missing required fields (row_id, job, date) on any row causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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