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Data Ingestion Batches — Numeric Distribution & Row Ordering Analytics
x402
Data Ingestion Batches — Numeric Distribution & Row Ordering Analytics 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).
Analyzes up to 200 data ingestion batch records by computing numeric distribution statistics and row ordering reports for received_rows and accepted_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles) for the selected field (received_rows or accepted_rows), and (2) a numeric row ordering report ranking the supplied records by that field — all computed locally without external lookups, for up to 200 input rows.
Example use cases
ETL pipeline acceptance rate audit
“I have 50 data ingestion batch records from last month with received_rows and accepted_rows values per dataset group. Can you give me a numeric distribution report and a row ordering ranking for accepted_rows so I can see which batches had the worst acceptance rates?”
Data quality monitoring across groups
“Here are 120 ingestion batch records across four dataset groups with their received_rows counts. Can you compute the numeric distribution and ordering report for received_rows so I can spot which groups are getting the most inconsistent data volumes?”
Ingestion throughput trend analysis
“I've got a series of daily data ingestion batch rows from 2026-09-01 to 2026-11-30, each with a row_id, dataset_group, received_rows, and accepted_rows. Please run the numeric distribution and row ordering analysis on accepted_rows so I can understand our throughput patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-073?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured data ingestion batch records (up to 200 rows) and need both a statistical distribution view and a ranked ordering of records for either received_rows or accepted_rows — particularly useful for ETL pipeline monitoring, data quality audits, and batch throughput analysis. It delivers two reports for $0.01 USDC using local analytical engines with no external dependencies.
Side effects
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Null values in the selected numeric field may affect distribution calculations
- Invalid field enum value (anything other than received_rows or accepted_rows) causes rejection
- Empty rows array (minItems:1 violated) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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