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Data Ingestion Batches — Grouped Numeric Summary + Equal-Width Histogram
x402
Data Ingestion Batches — Grouped Numeric Summary + Equal-Width Histogram 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).
Computes a grouped numeric summary and equal-width histogram for received_rows and accepted_rows fields across up to 200 data ingestion batch records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Grouped numeric summary + Equal-width histogram: Grouped numeric summary + Equal-width histogram 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) a grouped numeric summary (e.g. count, mean, min, max, std) of the selected field (received_rows or accepted_rows) segmented by dataset_group, and (2) an equal-width histogram showing the distribution of values across the specified number of bins. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Pipeline health check by dataset group
“I have 150 daily ingestion batch records with received_rows and accepted_rows across three dataset groups. Can you give me a grouped numeric summary and histogram with 8 bins on received_rows so I can see which groups are performing differently?”
Spotting row drop-off in ETL batches
“My ETL pipeline logs show received_rows and accepted_rows for about 60 batches. Run a grouped summary and equal-width histogram with 5 bins on accepted_rows so I can spot where rows are being dropped most often.”
Weekly ingestion distribution report
“Here are this week's 200 data ingestion batch records with received_rows and accepted_rows. Generate a grouped numeric summary and a 10-bin equal-width histogram on received_rows broken out by dataset_group so I can include it in my weekly data quality report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-093?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped statistical summary and a histogram distribution view of data ingestion batch metrics (received_rows / accepted_rows) in a single low-cost call. It is ideal for ETL pipeline monitoring, data quality profiling, and batch ingestion audits where you want group-level breakdowns alongside distributional binning. Prefer it over general analytics tools when working with up to 200 ingestion batch records and you want both report types for $0.01 USDC without setting up external infrastructure.
Side effects
- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes validation failure
- Invalid date format (not YYYY-MM-DD) rejected by pattern validation
- Bins value outside 1–30 range rejected
- Null values in numeric fields may affect summary statistics
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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