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Data Ingestion Batches — Record Quality Audit + Equal-Width Histogram
x402
Data Ingestion Batches — Record Quality Audit + 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).
Runs a record quality audit and an equal-width histogram analysis on up to 200 data ingestion batch records covering received_rows and accepted_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Record quality audit + Equal-width histogram: Record quality audit + 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
Two independent analytical reports: (1) a record quality audit summarizing completeness, nulls, and anomalies across the supplied ingestion batch rows; and (2) an equal-width histogram of the chosen field (received_rows or accepted_rows) divided into the specified number of bins, showing frequency distribution across up to 200 rows.
Example use cases
ETL pipeline acceptance rate audit
“I have 80 ingestion batch records from last month with received_rows and accepted_rows — can you run a quality audit and a 5-bin histogram on the accepted_rows to see how well data is passing through our pipeline?”
Dataset group ingestion quality check
“Here are 120 rows of ingestion data across two dataset groups, each with a date, received_rows, and accepted_rows. Run the record quality audit and a 10-bin equal-width histogram on received_rows so I can spot any patterns or quality issues.”
Detect data loss in nightly ingestion jobs
“We had some suspected data loss in our nightly ingestion jobs last week — I've got 60 batch records with received and accepted row counts. Can you do a quality audit and histogram with 8 bins on received_rows to help me find where the losses are happening?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-013?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a histogram distribution analysis on ingestion batch records in a single call for up to 200 rows, without requiring a live database connection or external data source. Ideal for agents monitoring ETL pipelines, validating ingestion completeness, or summarizing row acceptance rates across dataset groups.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Bins value outside 1–30 range — schema validation failure
- Invalid date format (not YYYY-MM-DD) — validation error
- Numeric values outside ±1,000,000,000,000 bounds — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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