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Data Ingestion Batches — Equal-Width Histogram + Explicit Missing-Value Fill
x402
Data Ingestion Batches — Equal-Width Histogram + 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 2026-10-21).
Analyzes up to 200 data ingestion batch records (received_rows, accepted_rows) by computing an equal-width histogram and filling missing values with a chosen strategy, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + 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 independent analytical reports: (1) an equal-width histogram showing bin edges and counts for the selected field (received_rows or accepted_rows) across the supplied batch records, and (2) a series where missing values have been explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally with no external data lookups.
Example use cases
Pipeline ingestion volume distribution analysis
“I have 150 daily ingestion batch records with received_rows and accepted_rows. Can you build an equal-width histogram with 8 bins on received_rows and fill any nulls using the mean, so I can see how row volumes are distributed across our dataset groups?”
Accepted rows missing-value audit and histogram
“Some of my accepted_rows values are missing in these batch logs. Can you run the histogram and median-fill analysis on the accepted_rows field using 5 bins, so I can understand the distribution after imputation?”
Dataset group ingestion quality profiling
“We have 200 ingestion batch records across multiple dataset groups. Please compute a 15-bin equal-width histogram on received_rows and use zero-fill for any missing values, so I can profile our ingestion quality by volume band.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-175?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records and need two specific analytical outputs — an equal-width histogram and a missing-value-filled series — for either received_rows or accepted_rows. It is ideal for lightweight, offline statistical profiling of pipeline batch metrics without needing a full analytics platform. Prefer it over general-purpose analytics services when you want a low-cost ($0.01 USDC), deterministic, no-side-effect computation on supplied data with no live lookups or external dependencies.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes validation error
- Missing required fields (row_id, dataset_group, date) cause row rejection
- bins value outside 1–30 range causes validation error
- Numeric values outside ±1,000,000,000,000 cause schema validation failure
- Empty rows array (minItems: 1 not met) causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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