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Data Ingestion Batches — Numeric Distribution + Grouped Numeric Summary
x402
Data Ingestion Batches — Numeric Distribution + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Generates two analytical reports (numeric distribution and grouped numeric summary) for data ingestion batch records covering received_rows and accepted_rows fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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
Two analytical reports: (1) a numeric distribution of the selected field (received_rows or accepted_rows) across all supplied rows, including quantiles and spread metrics; (2) a grouped numeric summary breaking down the same field by dataset_group, showing per-group aggregates. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline acceptance rate audit
“I want to understand how my ingestion batches are performing — here are 50 records with received_rows and accepted_rows by dataset_group and date. Can you give me a numeric distribution and grouped summary for accepted_rows so I can see which groups are underperforming?”
Data quality monitoring by group
“Run a numeric distribution and grouped numeric summary on my ingestion batch data for received_rows. I have records across groups 'raw_events', 'user_profiles', and 'transactions' from the past month and want to see where the spread is widest.”
Ingestion throughput comparison across datasets
“I've got batch ingestion logs from our pipeline — rows for dataset groups 'clickstream' and 'crm_data' with received_rows and accepted_rows. Can you compute the distribution and grouped stats for received_rows across those 120 records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-071?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured data ingestion batch records (with received_rows and accepted_rows metrics) and need both a distribution profile and a grouped breakdown in a single API call for up to 200 rows. Ideal for ETL monitoring, data pipeline audits, and ingestion quality reviews where you want two complementary statistical perspectives simultaneously without building custom analytics.
Side effects
- Fewer than 1 row supplied — minItems validation failure
- More than 200 rows supplied — maxItems validation failure
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — schema validation error
- Invalid date format (must match YYYY-MM-DD pattern) — pattern validation failure
- Field selector not one of 'received_rows' or 'accepted_rows' — enum validation error
- Null numeric values may reduce statistical accuracy for that row
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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