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Data Ingestion Batches — Category Frequencies + Explicit Missing-Value Fill
x402
Data Ingestion Batches — Category Frequencies + 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 2026-10-18).
Analyzes up to 200 data ingestion batch records to produce two local analytical reports: category frequency distribution and explicit missing-value fill for received_rows or accepted_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill for supplied data ingestion batches records (received_rows, accepted_rows). 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) category frequency counts for the dataset_group field showing how many records belong to each group, and (2) an explicit missing-value fill report for the selected numeric field (received_rows or accepted_rows) using the chosen fill method (zero, mean, or median), with filled values substituted for nulls across up to 200 input rows.
Example use cases
Audit dataset group distribution in pipeline
“I have 120 rows from our ingestion pipeline logs with fields like row_id, dataset_group, date, received_rows, and accepted_rows — can you run a category frequency report on dataset_group and also fill any missing received_rows values using the mean?”
Impute nulls in accepted_rows with zero
“Some of our ingestion batch records have null accepted_rows values — can you fill those with zero and also give me a frequency count of how many records belong to each dataset_group? I have about 80 rows total.”
QA check on daily ingestion batch data
“Here are our daily ingestion batch records for the past two months — around 150 rows — can you compute the category frequencies for dataset_group and use median imputation to fill any missing received_rows values so I can QA the pipeline?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-112?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local analytical computation on a small batch of data ingestion records (up to 200 rows) without any external lookups or live data. Ideal for data quality workflows that require both a frequency audit of categorical pipeline fields and numeric missing-value imputation in a single low-cost call ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when working specifically with ingestion batch data keyed by row_id, dataset_group, date, received_rows, and accepted_rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date) on any row — validation error
- Invalid date format not matching YYYY-MM-DD pattern
- Invalid enum value for field or method parameters
- All rows have null values for selected field — mean/median fill may be undefined
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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